This webinar explores how agentic AI is transforming the way investors, research teams and enterprises interpret global events and market-moving information. Wilson Chan, CEO of Permutable, will discuss how multi-agent AI systems can detect emerging narratives, assess market significance and generate actionable intelligence in real time. Designed for data buyers, investment professionals, quantitative researchers and decision-makers.

Artificial intelligence is rapidly changing how organisations process information. Yet despite advances in large language models and generative AI, many institutions continue to face the same underlying challenge: too much information, too little context.

For investors, traders, economists and risk teams, the issue is rarely a lack of data. Global news, research, economic releases and market commentary are generated continuously across thousands of sources and dozens of languages. The challenge is understanding which developments matter, how they connect to one another and what implications they may have for markets.

This challenge is becoming increasingly important as markets respond to information at a speed and scale that traditional research workflows struggle to match.

On 9 June 2026, Wilson Chan, CEO of Permutable AI, will discuss how a new generation of agentic AI systems is helping address this problem during the webinar, Beyond Automation: The Future of Agentic AI Workflows, hosted in partnership by Eagle Alpha and also featuring Sphinx AI.

The session will explore how multi-agent AI architectures are reshaping the way organisations monitor, interpret and act upon information in real time.

From information overload to intelligence generation

The financial industry has spent decades investing in better access to information. Market data became digitised. Research moved online. Alternative datasets emerged. More recently however, large language models have made information easier to search, summarise and retrieve. Yet information access alone does not create understanding.

In modern markets, narratives surrounding inflation, monetary policy, economic growth, trade, geopolitics and fiscal risk often begin forming long before they become visible in official data releases or widely accepted market consensus. By the time these developments are fully reflected in traditional indicators, much of the opportunity to act may already have passed.

This is where agentic AI introduces a fundamentally different approach.

Rather than operating as a passive tool that responds only when prompted, agentic systems can continuously monitor information environments, identify relevant developments, assess significance and generate contextual intelligence autonomously. For institutions operating in increasingly complex and fragmented information environments, this shift represents an important evolution in how intelligence is generated.

How Permutable approaches agentic intelligence

At Permutable, our focus has always been on helping organisations understand why markets are moving, not simply what is moving. Our AI-driven infrastructure analyses millions of articles, narratives, macroeconomic developments and market signals to identify emerging themes and assess their potential impact across commodities, currencies and broader macro markets.

As information volumes continue to grow, the next step is not simply processing more data. It is enabling specialised AI agents to work collaboratively to transform information into actionable intelligence.

During the webinar, our Founder & CEO Wilson Chan will explore how multi-agent architectures can be used to:

• Detect emerging events and narratives as they develop
• Filter irrelevant information and reduce market noise
• Assess sentiment, significance and potential market impact
• Connect seemingly unrelated developments across markets and regions
• Map implications across commodities, currencies and macro assets
• Generate explainable, decision-ready intelligence for investment and risk teams

The objective is to augment decision-making by ensuring analysts and investors can focus their attention on the developments that matter most.

Why agentic AI matters for financial markets

Financial markets have become increasingly information-driven. A geopolitical development in one region can quickly influence commodity prices, inflation expectations, monetary policy assumptions and investor sentiment elsewhere. The challenge lies in identifying these relationships quickly enough to support informed decision-making.

Traditional workflows often rely on analysts manually gathering information from multiple sources before interpreting its significance. Agentic AI however enables a more continuous process of observation, interpretation and contextualisation.

Instead of searching for information after an event occurs, organisations can move towards continuously monitoring evolving narratives and understanding how they may influence markets in real time. This distinction is becoming increasingly important for investment firms seeking differentiated sources of insight and competitive advantage.

The next phase of AI adoption

The next phase of AI adoption in financial services is unlikely to be defined by better chatbots alone. It will be shaped by systems capable of continuously interpreting information, reasoning across multiple data sources and delivering intelligence that is contextual, explainable and actionable.

As information environments become more complex, organisations will increasingly require technology that can bridge the gap between raw information and decision-making. At Permutable, this underpins our ongoing work across narrative intelligence, macroeconomic signal generation and agentic AI research.

The webinar provides an opportunity to learn how these technologies are evolving and what they mean for the future of investment research, market intelligence and risk management.

Join the Webinar

Webinar: Beyond Automation: The Future of Agentic AI Workflows

Date: 9 June 2026

Time: 10:00AM Eastern Time 3:00 PM BST

Speaker: Wilson Chan, CEO, Permutable AI

The session is designed for data buyers, investment professionals, research teams and organisations exploring the future of AI-powered intelligence generation.

As markets become increasingly driven by information velocity rather than information scarcity, understanding how agentic AI can transform signal detection, narrative analysis and decision-making has never been more relevant.

Register here

Permutable’s upcoming Global Macro Sentiment Indices (GMSI) transform global news flow into machine-readable macro intelligence across 95 countries, 12,000 sources and 70 languages. Designed for systematic investors, macro strategists, economists and risk teams, GMSI helps users monitor evolving macro narratives, identify emerging risks and opportunities, and gain deeper insight into the forces shaping markets between official economic releases.

Markets move on information long before official data confirms the trend. Economic releases arrive monthly. Policy decisions follow a schedule. Yet macro narratives evolve continuously, shaped by millions of signals emerging across news, policy, geopolitics and global markets every day.

At Permutable, we have spent the last several years rethinking how these signals can be measured.

Today, we are previewing the upcoming launch of the Permutable Global Macro Sentiment Indices (GMSI) – a new generation of machine-readable macro intelligence designed to help investors, researchers and risk teams monitor the changing macro environment in real time.

Built on proprietary AI and macroeconomic intelligence frameworks developed by Permutable, our Global Macro Sentiment Indices transform global news flow into structured country-level sentiment signals across:

• 95 countries
• 12,000 validated sources
• 70 languages

The result is a broader, deeper and more globally representative view of macroeconomic narratives as they emerge.

A new standard for macro intelligence

The upcoming release introduces significant enhancements across source coverage, thematic depth and signal granularity. Designed specifically for systematic investors, macro strategists, economists and cross-asset risk teams, Permutable’s Global Macro Sentiment Indices helps bridge the gap between official economic releases and market interpretation.

Users will be able to monitor evolving narratives across key macro themes including inflation, growth, monetary policy, trade, labour markets and geopolitical risk. More importantly, our Global Macro Sentiment Indices has been engineered to provide a richer understanding of how macro pressure develops, evolves and spreads across the global information environment.

Why macro narratives matter more than ever

As macroeconomic uncertainty becomes more persistent, the ability to systematically monitor evolving narratives and global events is becoming an increasingly important component of research, risk management and investment decision-making. Changes in inflation expectations, policy credibility, geopolitical developments and growth outlooks can all influence market behaviour before they become visible through traditional economic datasets.

At Permutable, our vision is to help organisations navigate this complexity by transforming unstructured information into structured intelligence. Our Global Macro Sentiment Indices represent an important step in that direction, providing a new framework for observing how macro narratives evolve across countries, regions and themes in real time.

Leadership perspective

“Markets increasingly react to narratives before they react to data,” said Wilson Chan, Founder and CEO of Permutable. “With our Global Macro Sentiment Indices, we’ve focused on building a framework that helps make those narratives measurable. This launch represents an important step forward in how macroeconomic information can be transformed into actionable intelligence.”

Michael Brisley, Chief Commercial Officer at Permutable, added: “Global investors face an overwhelming volume of information every day. Our goal with Permutable’s Global Macro Sentiment Indices is to help clients identify the signals that matter, understand how narratives are evolving and gain a clearer view of emerging macro risks and opportunities.”

Coming Soon

The launch of Permutable’s Global Macro Sentiment Indices marks the next evolution of our macro intelligence platform. Clients can expect expanded sources, broader coverage and deeper granularity

More details will be revealed soon. In the meantime, any enquiries ahead of official release can be sent to our team at enquiries@permutable.ai.

This article explains how Permutable AI’s Developer Platform provides market intelligence infrastructure for financial institutions, enabling real-time access to structured sentiment data across macro, commodities and FX. It is aimed at global macro hedge funds, systematic trading teams and institutional investors seeking to integrate machine-readable signals into models, research workflows and decision-making processes.

The current market environment is increasingly defined by narrative rather than scheduled data. Policy shifts, geopolitical developments and supply disruptions now influence pricing as expectations form, often before they are reflected in official releases.

For institutional desks, the challenge is not access to information. It is structuring that information into signals that can be consistently applied. This is where market intelligence infrastructure for financial institutions becomes critical.

At Permutable, we work to address this gap, converting unstructured global information into structured intelligence that can be deployed across systematic and discretionary workflows. Our newly launched Developer Platform extends this capability, providing a cleaner, faster and more intuitive way to access and operationalise that intelligence at scale.

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From data access to market intelligence infrastructure for financial institutions

Institutional teams no longer need more data. They need infrastructure. At Permutable, our new Developer Platform represents a shift from simple data delivery to market intelligence infrastructure for financial institutions, designed to support the full lifecycle from discovery to deployment.

Users can access live and historical sentiment data across macro markets, commodities, FX and rates, integrating machine-readable signals directly into models, dashboards and research workflows. Datasets are versioned, lifecycle states are clearly defined and metadata is transparent, covering schema, coverage and methodology.

This infrastructure-first approach ensures that data is not only accessible, but immediately usable.

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Data discovery built for institutional workflows

One of the key challenges in institutional environments is data discovery. Traditional workflows rely on fragmented documentation and manual processes. Permutable’s Developer Platform replaces this with a consumer-led model, where users can browse a structured catalogue of datasets and evaluate them before integration.

This is a core component of market intelligence infrastructure for financial institutions, enabling faster and more efficient onboarding and subsequently workflow.

Each dataset includes:

• Clear metadata (coverage, schema, methodology)
• Documentation aligned to onboarding and integration
• Version control for consistency across environments

Out-of-the-box tutorials, supported by public repositories, allow users to move quickly from exploration to testing. This significantly reduces the time between identifying a dataset and deploying it within a workflow.

For systematic teams, this accelerates research. For discretionary desks, it improves transparency and understanding of signal construction.

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Data retrieval designed for speed and security

Accessing data is often where operational friction emerges. Permutable’s Developer Platform addresses this by removing dependency on manual processes and introducing secure, automated retrieval. Short-lived access credentials improve security, while partitioned data structures ensure efficient ingestion into institutional pipelines.

This design reflects the requirements of market intelligence infrastructure for financial institutions, where both performance and governance are critical.

Partitioned datasets allow quantitative teams to ingest data directly into models with minimal preprocessing. At the same time, security controls align with institutional standards, ensuring that access is both controlled and scalable.

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API access and integration

At the core of the platform is a flexible API layer.

Users can generate and manage their own API keys, creating and deleting access points as required. This removes operational dependencies and gives teams direct control over integration.

The API is designed with:

• Consistent REST structure
• Standardised JSON responses
• Access to both live and historical data

This consistency ensures that signals behave the same way across research and production environments, a key requirement for market intelligence infrastructure for financial institutions.

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Usability and time to integration

Even the most advanced platforms fail if they are difficult to use. Permutable’s Developer Platform is designed to reduce time to integration, a central objective of market intelligence infrastructure for financial institutions.

In-app tutorials guide users through workflows, while a structured onboarding checklist helps teams track progress and understand platform capabilities. The homepage surfaces key datasets, enabling quick access without navigating complex interfaces. Meanwhile, documentation is embedded alongside datasets, ensuring that users always have the context they need at the point of use.

This design reduces friction, allowing teams to focus on building models and strategies rather than navigating infrastructure.

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Connecting across the Permutable ecosystem

The Developer Platform is part of a broader intelligence framework. Users can move seamlessly between API data access and documentation including suggested recipes creating a unified workflow where the same underlying signals support both systematic and discretionary use cases.

This is a defining feature of market intelligence for financial institutions. It ensures that data, signals and insights are aligned across teams, reducing fragmentation and improving consistency in decision-making. Within the platform, systematic teams can ingest structured signals directly into models while discretionary teams interpret those same signals within a broader market context.

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Performance, scalability and reliability

At Permutable, we know that institutional adoption depends on performance as much as functionality. Our Developer Platform is built to meet industry-standard latency benchmarks, ensuring real-time data delivery. Infrastructure is designed for scalability, supporting growing user demand without degradation in performance.

Security is embedded at every layer, with controlled access, short-lived credentials and robust data handling practices. These elements are foundational to market intelligence infrastructure for financial institutions, ensuring that data can be deployed at scale without compromising reliability.

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Implications for institutional investment teams 

The introduction of our Developer Platform will change how institutional teams interact with our real-time market intelligence.

It reduces friction between discovery and deployment, allowing faster integration of new datasets. It improves transparency, ensuring that signals are understood and validated. And it creates a consistent framework for integrating narrative-driven intelligence into trading strategies.

In practice, this leads to:

• Faster identification of regime shifts
• Clearer attribution of market drivers
• More efficient deployment of signals into models

The advantage lies not just in access to data, but in the ability to use it effectively within a structured framework.

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Request access to the Developer Platform

Explore how structured sentiment data can be integrated into your trading and research workflows. Request access to the Permutable AI Developer Platform to review datasets, API capabilities and onboarding resources.

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Q&A 

Q: What is market intelligence infrastructure for financial institutions?

A: It is a framework that enables institutional teams to access, structure and integrate real-time market data into trading and research workflows.

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Q: How does Permutable AI’s Developer Platform support institutional traders?

A: It provides structured sentiment data, API access and integration tools that allow direct deployment of Permutable’s live and historical sentiment data across macro markets, commodities, FX and rates into models and workflows.

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Q: Why is structured data important for institutional trading?

A: Because it enables consistent, testable and scalable integration into both systematic and discretionary strategies.

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Q: How does the platform improve data integration?

A: Through versioned datasets, clear metadata, partitioned data structures and consistent API outputs.

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Q: How is this different from traditional data platforms?

A: It combines discovery, access and integration into a single environment, reducing friction between research and production

Permutable AI has appointed Will Peters as Business Development Director to expand the distribution of its AI-driven market intelligence across Europe and the United States. The move supports growing demand from trading desks, asset managers and financial institutions seeking real-time macro and asset-level insights – strengthening the company’s global commercial strategy and accelerating adoption of its real-time intelligence platform and macro and asset indices.

We’re pleased to announce that Will Peters has joined Permutable as our new Business Development Director, as we continue to scale the distribution of our AI-driven market intelligence globally.

Scaling AI-driven market intelligence globally

Will joins us at an exciting stage of growth. As markets become increasingly driven by geopolitical events, supply shocks and rapidly evolving narratives, the ability to convert unstructured information into structured, decision-ready AI-driven market intelligence is becoming critical. We are expanding both our platform and our commercial reach to meet this demand – helping clients move from narrative to signal, and from signal to edge.

Our platform transforms high-frequency global information flow into structured, research-grade signals – tracking macro and asset-level sentiment in real time, surfacing regime shifts early, and enabling both systematic and discretionary teams to act with greater speed and conviction.

Will brings strong experience in delivering data and analytics solutions into financial markets. Having spent a significant portion of his career at Macrobond Financial, where he held senior business development roles across both the US and UK, he has led business development for financial institutions, working closely with research, investment risk and trading teams. In these roles, he supported some of the world’s largest institutions with macroeconomic data and analytics platforms, helping integrate complex datasets into real-world investment workflows.

His background gives him a deep understanding of how data is used on desks – from integrating multi-source datasets to enabling faster, more efficient research and decision-making – making him a very strong addition to our commercial team as we continue to scale our institutional macro and asset-level intelligence offering – delivering structured outputs that can be directly consumed by models or used to inform discretionary positioning.

Strengthening our global commercial strategy

Our CEO and Founder, Wilson Chan, commented: “Will joins us at an important stage of growth. We’re operating in a market environment increasingly defined by shocks – from geopolitical escalation to supply disruptions and rapid narrative shifts that can reprice markets in hours. In this context, the need for intelligent, actionable data has never been greater. By turning global information flow into structured, real-time signals, we help clients identify what’s driving markets, where risk is building, and how regimes are shifting. Will’s experience working with leading financial institutions on both sides of the Atlantic makes him exceptionally well placed to help bring this capability to a wider global audience.”

Our Chief Commercial Officer, Michael Brisley, added: “We’re seeing strong demand from trading desks, asset managers and enterprise clients who are overwhelmed by information but lack structure. What sets us apart is our ability to convert narrative into clean, model-ready signals – separating noise from true market drivers and enabling faster, more confident decision-making. Will’s track record in delivering data-led solutions into these environments will be instrumental as we expand our commercial footprint and deepen our partnerships internationally.”

Our AI-driven market intelligence is built to capture how markets actually move today – tracking policy signals, geopolitical developments, supply-demand shifts and narrative dynamics as they happen, often ahead of traditional data. By condensing fragmented information into structured indices, signals and insights, we provide a clearer, earlier view of market direction and regime change.

Expanding distribution of our AI-driven market intelligence across Europe and the United States

In his role, Will will focus on expanding our client base, building strategic partnerships, and supporting the continued rollout of our AI-driven market intelligence platform and macro and asset-level indices across across Europe and the United States.

Will Peters said: “I’m excited to be joining Permutable at such a dynamic stage of its growth. The platform offers a genuinely differentiated approach – turning real-time information into actionable insight – and I’m looking forward to working with clients across Europe and the US to help them better navigate increasingly complex and fast-moving markets.”

This hire reflects our broader strategy to build cutting-edge technology and scale the distribution of structured, AI-driven market intelligence – ensuring it reaches the teams that need it most, and helps them navigate volatility, identify true drivers, and act ahead of the market.

To explore opportunities or learn more about how our intelligence can support your workflows, contact Will directly.

Permutable AI has been shortlisted at the Hedgeweek European Awards 2026 in the categories New Solution Provider of the Year and Technology Provider of the Year: Innovation. The announcement highlights growing industry recognition for Permutable AI’s data intelligence and Trading Co-Pilot technology, and invites hedge funds, asset managers, traders and industry professionals to support the company by voting.

We’re very pleased to share that Permutable AI has been shortlisted at the Hedgeweek European Awards 2026 in the following categories:

• New Solution Provider of the Year

• Technology Provider of the Year: Innovation

The Hedgeweek awards recognise leading technology and service providers shaping the future of the hedge fund and alternative investment industry. Being shortlisted across two categories focused on innovation and emerging solutions is a meaningful milestone for our team as we continue to scale.

For us, this recognition reflects the growing role of AI-driven macro and asset and sentiment intelligence in financial markets and validates the work we’ve been doing to bring more contextual, real-time insight into the decision-making process for traders, analysts and investment professionals.

Recognition for a new generation of trading intelligence

At Permutable AI, our focus has always been on helping market participants understand the world behind the price.

Markets today move on far more than traditional indicators. Global media narratives, geopolitical developments, policy signals and multi-entity sentiment dynamics increasingly shape price movements across commodities, equities and digital assets.

Our Trading Co-Pilot technology and data intelligence platform were designed to capture these signals and translate them into structured, machine-readable intelligence that traders and analysts can act on.

Being recognised by Hedgeweek at this stage of our journey signals something important for us: the industry is embracing a new category of AI-native intelligence infrastructure designed to augment human decision-making.

A milestone as we continue to scale

As we expand our intelligence platform, datasets, client base and partnerships globally, this nomination is a strong signal that the market is recognising the value of contextual AI for financial markets.

Our team has worked hard to build a platform that combines:

• real-time macro and asset news-driven intelligence

• multi-entity sentiment analysis

• structured data pipelines

• intelligence designed to support trading workflows

Being shortlisted alongside other industry technology providers reinforces our belief that data intelligence will increasingly sit at the centre of modern trading infrastructure.

Founder perspective

Commenting on the announcement, Wilson Chan, our Founder and CEO  said:

“We’re delighted to be shortlisted at the Hedgeweek European Awards 2026. Recognition from the hedge fund and alternative investment community is particularly meaningful because it reflects the real-world value of the technology we’re building. Our mission has always been to help market participants make better decisions by understanding the global narratives driving markets. This shortlist is a testament to the progress our team has made in bringing contextual AI intelligence into the trading workflow.”

Building momentum across the industry

For Michael Brisley, Chief Commercial Officer at Permutable AI, the nomination also highlights the growing demand for AI-powered intelligence solutions within the investment ecosystem.

“We’re seeing a clear shift across the industry. Asset managers, hedge funds and trading desks increasingly want tools that help them interpret complex global signals in real time. Being shortlisted in categories recognising new solutions and innovation is a strong indicator that the market recognises the value of what we’re building at Permutable AI. It’s an exciting moment as we continue scaling our platform and partnerships.”

Support Permutable AI – vote now

Voting for the Hedgeweek European Awards 2026 is now open and will run until 3 April 2026 (midnight GMT).

If you believe in the work we are doing here at Permutable and the role of AI-powered intelligence in modern markets, we would greatly appreciate your support.

You can cast your vote here

From all of us at Permutable AI – thank you to our clients, partners and community who continue to support our journey.

Permutable AI’s Institutional Asset Sentiment Indices transforms millions of global narratives into structured, execution-ready asset intelligence and signals for institutional investors. Designed for macro funds, commodity traders and multi-asset allocators, it delivers transparent, live-validated asset intelligence across energy, metals, agriculture and FX – helping institutions identify regime shifts early and integrate narrative-driven signals directly into professional investment workflows.

We are delighted to announce the release of our Institutional Asset Sentiment Indices, a purpose-built dataset engineered specifically for institutional investors navigating increasingly narrative-driven markets across institutional assets.

Markets no longer move solely on fundamentals released at scheduled intervals. Policy repricing, geopolitical escalation, supply chain disruption and macro regime transitions now reprice commodities and currencies within hours. In this environment, institutional performance depends not just on access to information – but on structured asset intelligence.

Our institutional Asset Sentiment Indices converts millions of global narratives into allocation-ready signals mapped directly to the assets institutions trade across commodities and currencies.

Institutional-grade asset intelligence 

With this latest release, we go far beyond traditional news aggregation. Our system processes reporting from more than 250,000 sources across 70+ languages in near real time. Rather than assigning vague market tone, our models attribute probability-weighted directional impact directly to each underlying asset.

Across:

• Energy

• Agriculture

• Precious Metals

• Industrial Metals

• G10 FX

We haved generate structured asset intelligence for front-month contracts, expressed through composite indices ranging from −1 to +1. Each index is constructed by mapping sentiment to true price drivers – inventories, refinery capacity, shipping constraints, production shifts, exchange communication and fiscal rhetoric – before aggregation.

The result is institutional asset intelligence that separates structural macro regime shifts from short-term microstructure changes, enabling more precise strategy construction.

Above: Copper price versus Permutable AI Asset Intelligence indices, showing the relationship between Market Dynamics and Macro & Geopolitics narrative signals and directional movement in copper futures.

From historical depth to live market proof

Institutional allocators demand more than optimised backtests. Our asset intelligence indices spans 11 years of strict point-in-time history. Models were trained on the first half and validated out-of-sample on the second, removing look-ahead bias and reducing overfitting risk.

More importantly, the framework underpins a live traded strategy running for the past 18 months under real market conditions.

This live validation demonstrates behavioural robustness across volatility regimes – reinforcing that the asset intelligence signal reflects structural narrative transmission rather than statistical artefacts. For systematic macro funds, commodity trading advisors and multi-asset allocators, that distinction matters.

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Local-language coverage: Closing institutional blind spots

Asset intelligence must be global to be credible. Many datasets remain English-centric, creating informational gaps during early-stage regional developments. Permutable captures domestic reporting in its original language, identifying shifts in policy tone, production guidance or geopolitical risk before they are widely translated.

This local-language depth strengthens asset intelligence by detecting narrative inflection points at source – often before institutional consensus forms. As narrative transmission accelerates across borders, reducing blind spots becomes a direct risk management advantage.

Full look-through transparency

At Permutable, we know that institutional investors require auditability and explainability. This is precisely why that through our Trading Co-Pilot interface, we give our clients users full look-through visibility into the narratives driving each asset intelligence shift.

Rather than presenting a black-box score, our platform surfaces the underlying events responsible for directional change.

This transparency supports:

• Investment committee discussion

• Risk oversight

• Regulatory accountability

• Strategy refinement

This is underpinned by the fact that institutional asset intelligence must be explainable to be trusted.

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Designed for institutional integration

Our institutional Asset Sentiment Indices are engineered for seamless integration into professional workflows, including:

• Systematic model inputs

• Discretionary macro overlays

• Portfolio construction tools

• Risk dashboards

• Quantitative research pipelines

Each asset intelligence index can be decomposed into topic-level components, allowing institutions to isolate supply-side disruptions from demand shocks, or policy rhetoric from logistical constraints. This granularity enables differentiated strategy construction rather than generic sentiment overlays.

Above: Multi-asset Asset Intelligence regime analysis showing Copper, Silver, Corn and WTI Crude Oil plotted against Permutable AI’s Asset Sentiment Indices, highlighting statistically significant correlations between narrative drivers and price across commodities.

A structural shift towards measurable asset intelligence

Wilson Chan, our CEO and Founder commented:

“Markets today function as narrative transmission systems with policy decisions, geopolitical events and production changes absorbed and repriced almost instantly. Our system structures that global narrative flow into disciplined, measurable asset intelligence – so institutional investors can identify emerging regime shifts with clarity. 

As institutional capital increasingly recognises narrative flow as a primary volatility driver, structured asset intelligence is transitioning from experimental input to essential infrastructure.

Our Institutional Asset Sentiment Indices deliver:

• Execution-ready narrative signals

• Actionable alpha

• Deep local-language coverage

• Live-validated robustness

• Event-level transparency

• Flexible integration across asset classes

In markets defined by speed and complexity, disciplined asset intelligence provides a competitive advantage and we are delighted to deliver this to our growing base of institutional clients. 

Permutable AI is sponsoring Future Alpha 2026 to showcase its Country Macro Feeds and Asset Sentiment Indices amid accelerating institutional adoption. The announcement is aimed at institutional investors, systematic trading teams, commodity trading desks and macro portfolio managers seeking structured, real-time macro and cross-asset intelligence to enhance portfolio construction, signal generation and risk management frameworks.

We’re pleased to announce that we will be sponsoring and exhibiting at Future Alpha 2026, taking place March 31 – April 1, 2026 at the New York Marriott Brooklyn Bridge.

With 800+ attendees expected, Future Alpha 2026 has quickly established itself as one of the most concentrated gatherings of quantitative finance professionals globally.  For us, this comes at a pivotal moment.

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An inflection point in our institutional growth

Over the past year, we have seen clear acceleration in institutional adoption across hedge funds, asset managers, commodity and macro trading desks.

The recent release of our Country Macro Feeds and imminent launch of our Asset Sentiment Indices marks a significant expansion of our platform – and of our footprint within institutional investing.

We built these solutions specifically for systematic trading teams and macro portfolio managers who require:

• Structured, machine-readable macro intelligence

• Cross-asset sentiment signals aligned to systematic workflows

• Real-time updates rather than lagging economic releases

• Transparent methodologies suitable for model validation and governance

Our Country Macro Feeds quantify geopolitical, policy and macro narratives at the sovereign level, turning global information flows into structured signals and intelligence that can be integrated directly into quantitative research and portfolio construction frameworks.

Our upcoming Asset Sentiment Indices will provide cross-asset intelligence spanning energy, agriculture, precious and industrial metals and G10FX  – enabling systematic overlays, regime identification, cross-asset relative value analysis and risk monitoring.

We are increasingly working with institutions embedding our data within signal generation, portfolio optimisation and risk frameworks. Future Alpha reflects exactly that institutional audience.

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Why Future Alpha 2026 is a key event 

With Future Alpha 2026 now nearing capacity, and with more than 100 confirmed speakers across AlphaX, TechX and RiskX stages it offers a rare concentration of senior institutional investors focused on quantitative research, systematic trading and technology infrastructure.

For commodity trading desks navigating supply-side volatility and structural energy shifts – and for macro trading desks managing geopolitical fragmentation and regime transitions – the ability to systematically quantify narrative and sentiment risk is becoming structurally important. This is precisely where our solutions sit.

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A structural shift in institutional investing

Institutional investing is undergoing structural change. Traditional macroeconomic data is backward-looking and low frequency. Yet the narratives that move markets evolve daily – sometimes intraday. Systematic trading teams cannot afford informational lag.

We built our platform on the belief that information velocity and contextual intelligence now represent core competitive advantages.

By transforming unstructured global information into structured, explainable signals, we provide institutional investors with:

• A forward-looking complement to traditional macro indicators

• Cross-asset intelligence designed for systematic integration

• Scalable API infrastructure built for institutional environments

• Explainability aligned with governance and compliance requirements

This is precisely what we will be showcasing at Future Alpha 2026. And there could be no better time as systematic funds and multi-asset managers increasingly formalise the integration of our AI-driven data into their investment stack with measurable acceleration in institutional uptake.

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Leadership perspective

Wilson Chan, our Founder and CEO, commented:

“Future Alpha 2026 brings together the exact community we serve – institutional investors, systematic trading teams and macro portfolio managers who understand that the speed and structure of information now matters as much as the content itself.

It comes at a perfect time for us following on from the launch of our Country Macro Feeds and our upcoming Asset Sentiment Indices release. We are seeing strong acceleration in institutional adoption as firms move from experimentation to integration. Sponsoring Future Alpha reflects where we are in our growth journey and provides the perfect opportunity to showcase our institutional solutions.”

Michael Brisley, our Chief Commercial Officer, added:

“Commodity trading desks and macro trading desks are actively rethinking how they source differentiated data. They are looking for real-time, structured inputs that integrate seamlessly into research and execution workflows.

The quality of buy-side attendance at Future Alpha reflects the seriousness of that shift. For us, it’s about engaging directly with institutions that are operationalising AI-driven asset and macro intelligence at scale.”

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Meet us in New York

We will have a booth at Future Alpha 2026, and our team will be on-site throughout the event. It’s an excellent opportunity to come and meet us in person, explore our Country Macro Feeds and Asset Sentiment Indices, and discuss how our solutions can support systematic trading, portfolio construction and risk management workflows.

We will also be taking meetings either side of the conference in New York. If you are an institutional investor, macro portfolio manager, commodity trading desk or systematic trading team interested in learning more, we encourage you to reach out in advance to schedule time with us.

We look forward to meeting you in New York. 

Permutable AI introduces country-level macro signals that track domestic and international sentiment to reveal economic, policy, and growth shifts before markets react. The feeds help traders, analysts, and portfolio managers spot risk, mispricings, and opportunities across FX, rates, credit, and commodities, integrating directly into systematic and discretionary workflows for faster, better-informed decisions worldwide for institutional investment teams globally today everywhere.

We today announced the launch of our country-level macro signals data feeds, a major expansion of the Permutable AI intelligence platform that delivers structured economic, policy, and sentiment indicators at national level across more than 40 economies, with coverage continuing to scale globally.

At Permutable AI, our mission is to help market our clients understand what is changing before prices adjust. With this release, we extend that capability beyond asset-level signals into sovereign, policy and domestic economic dynamics – giving traders, analysts and portfolio managers earlier, more granular visibility into the forces shaping global markets.

These new feeds transform how institutions detect inflection points in sovereign risk, growth cycles, and policy shifts by converting unstructured global information into structured, actionable macro intelligence. Instead of waiting for lagging indicators or headline-driven reactions, our clients can now see change forming on the ground in real time.

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Seeing the cycle first

Traditional macroeconomic data arrives late. Inflation prints, GDP releases, and policy statements confirm what has already happened. By the time these indicators are published, markets have often moved.

Our country-level macro signals solve this gap.

We analyse millions of domestic and international sources across local languages every minute, continuously measuring sentiment and narrative momentum around inflation, rates, growth, housing, consumer conditions and policy execution. These signals update dynamically – revealing shifts weeks or months before traditional metrics catch up.

Backtesting across major economies demonstrates consistent predictive value:

• In the United States, inflation sentiment flagged the 2021–22 price surge months before core CPI accelerated

• Rates sentiment turned ahead of moves in the 10-year Treasury during the Federal Reserve hiking cycle

• In Japan, signals pointed to Bank of Japan normalisation risk and the unwind of ultra-loose policy before rate adjustments were announced

These early warnings offer a measurable edge for FX positioning, duration management, and cross-asset allocation.

As our Founder and CEO, Wilson Chan, explains:

“What we are now offering is the most comprehensive on-the-ground macro sentiment across every country which updates every minute. We still maintain that market sentiment moves markets. By analysing local-language sources alongside international coverage across 180+ countries, we’re giving traders the ability to see policy pressure, growth momentum and market risk as it builds – not after it has already moved prices. This is intelligence that supports better decisions in real time.”

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Two lenses on every economy: Domestic and international

A defining feature of our platform is what we call the dual-lens approach.

Most macro analysis relies heavily on international media or institutional commentary. But markets often miss what is happening locally – where policy meets reality, and where execution risks emerge first.

Our system separates:

Domestic sentiment – local-language reporting that captures street-level issues, implementation friction, consumer stress, and political dynamics

International sentiment – global institutional narratives, geopolitical framing, and cross-border risk perception

This distinction matters because divergence creates opportunity.

When local conditions worsen but international coverage remains constructive, markets may be mispricing risk. Conversely, when global headlines exaggerate concerns not reflected domestically, assets may be oversold.

We consistently observe these disconnects across countries:

• China’s domestic coverage focuses on stabilisation and policy support while international narratives emphasise structural risks

• The UK’s domestic sentiment reflects lived inflation pressure, while international coverage centres on central bank messaging

• Spain and Turkey show predominantly domestic-driven narratives, while China receives disproportionately international scrutiny

Understanding who is driving the narrative – and whether that narrative matches ground truth – can directly inform timing and positioning.

Michael Brisley, our Chief Commercial Officer, adds:

“The biggest alpha opportunities often emerge when domestic reality diverges from international perception. A portfolio manager looking at Brazil or Mexico needs to know if street-level sentiment is deteriorating while foreign headlines remain constructive, or vice versa. That gap is where mispricings live. Our country-level intelligence suite makes those disconnects visible and actionable.”

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Built for real-world decisions

We designed these datasets for practical deployment inside trading and risk workflows.

Our clients use the feeds to directly support:

• Cycle & Risk Monitoring: Identify domestic stress before it reaches mainstream terminals. Flag countries where sentiment suggests FX repricing, curve steepening, or spread widening.

• Perception vs Fundamentals: Distinguish whether markets are trading headlines or underlying economic conditions, helping avoid false signals and crowded narratives.

• Policy & Implementation Risk: Capture signs of political strain, execution slippage, or social pushback early using local-language intelligence.

• Cross-Asset Allocation: Inform FX, rates, credit, commodities and sovereign risk positioning with forward-looking macro indicators.

• Systematic Strategies: Integrate structured signals directly into quantitative and algorithmic models via API.

Because our data is delivered in structured, machine-readable formats, it fits seamlessly into existing trading stacks and portfolio construction frameworks.

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Expanded Coverage with Local Language Intelligence

Coverage includes major developed and emerging markets such as the United States, United Kingdom, Eurozone economies, Turkey, Japan, China, Brazil, Mexico and India, alongside additional countries.

Each market features multiple indices spanning:

• Inflation

• Interest rates

• GDP and growth momentum

• Consumer and household conditions

• Housing

• Policy and political dynamics

Every signal is powered by deep local-language analysis – a key differentiator that ensures our intelligence reflects real conditions rather than translated summaries or delayed commentary.

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Availability

Our country-level macro signals are available immediately via API and integrate easily with existing market data infrastructure. Institutions can deploy the feeds across systematic trading, discretionary strategies, and enterprise risk management.

To request a walkthrough, institutional trial, or technical integration details, visit www.permutable.ai or contact enquiries@permutable.ai.

London scale up Permutable AI is expanding its technical team to support rising demand and platform scale into 2026. The announcement highlights new client-facing analytics and senior engineering hires, reflecting growing enterprise adoption of its AI market intelligence platform. The article is aimed at institutional clients, partners, and stakeholders tracking Permutable AI’s growth and platform maturity.

Permutable AI is expanding its technical team as demand for its AI market intelligence platform continues to accelerate across global financial institutions. As we scale into 2026, this expansion reflects a key stage in our company’s evolution: increasing enterprise adoption, deeper production usage, and a clear focus on building a resilient, scalable AI market intelligence platform that can support long-term growth across trading, research, and risk workflows.

To support this next phase, we are hiring across two strategically important London-based roles – Junior Software Engineer (Client-Facing Analytics) and Senior Engineer – strengthening both our client delivery capability and the engineering foundations of our AI market intelligence platform.

Strengthening client-facing analytics at scale

The Junior Engineer (Client-Facing Analytics) role enhances our ability to embed Permutable’s data, APIs, and signals directly into client systems. Sitting at the intersection of data science, product, and client integration, this role supports signal onboarding, back-testing, and applied analytics across live use cases.

As adoption grows, this role plays a critical part in ensuring that our AI market intelligence platform is not only technically robust, but clearly understood, trusted, and effectively operationalised by end users. Insights from this position also feed directly into product and engineering, helping improve data quality, documentation, and usability as the AI market intelligence platform scales.

Scaling platform maturity and engineering leadership

Alongside this, we are hiring a Senior Engineer to work closely with our Platform Lead during a critical scale-up phase. This role is focused on strengthening the core architecture underpinning our AI market intelligence platform, including real-time APIs, data pipelines, and ML- and LLM-powered analytics.

The Senior Engineer will help translate strong commercial momentum into a scalable, production-ready AI market intelligence platform – improving observability, resilience, and delivery processes while remaining deeply hands-on.

Building for reliability, scale, and long-term value

Commenting on the expansion, Wilson Chan, Founder and CEO of Permutable AI, said:

“As more financial institutions rely on our AI market intelligence platform in live environments, scaling responsibly becomes just as important as innovating quickly. These hires reflect a clear focus on platform maturity, reliability, and long-term value creation, ensuring we can continue to support sophisticated clients as our reach and impact grow.”

This expansion marks an important milestone as Permutable AI continues to build an enterprise-grade AI market intelligence platform designed for the realities of modern financial markets and sustained global adoption.

We are delighted to announce that Permutable AI is expanding our client coverage to Asia-Pacific following increased interest from institutional market participants seeking deeper, real-time global commodities and macro intelligence.

Asia-Pacific sits at the centre of global energy demand, industrial supply chains, and geopolitically sensitive trade routes. As a result, developments across the region increasingly act as transmission mechanisms for volatility across commodities, currencies, and broader macro markets. Our expansion reflects direct client demand for commodities and macro intelligence that connects regional developments with global market behaviour.

Over recent months, we have seen growing engagement from Asia-based and Asia-focused investment teams, risk managers, and strategic decision-makers across energy, commodities, and cross-asset portfolios. These conversations have reinforced the need for more granular, forward-looking commodity and macro intelligence across the region. 

Strengthening client coverage through regional macro intelligence expertise

To support this expansion in client coverage, we are working with Graham Emo, who brings extensive experience supporting institutional clients across Asia-Pacific. Graham previously held senior roles at Macrobond, where he worked closely with macroeconomists, strategists, and portfolio teams applying macro intelligence to investment and risk decisions.

Graham will work closely with our Chief Commercial Officer Michael Brisley and our commercial team to support client engagement and help introduce Permutable AI’s AI-driven macro intelligence and sentiment indices to organisations with Asia-focused mandates. This approach reflects our belief that effective regional expansion should be driven by client demand for actionable intelligence, strongly supported by domain-specific expertise.

“Asia sits at the centre of many of today’s most important macro and commodities dynamics,” said Wilson Chan, Founder and CEO of Permutable AI. “Expanding our client coverage reflects growing demand for macro intelligence that helps market participants understand not just what is happening, but how markets are beginning to interpret and price those developments.”

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AI-driven commodity and macro Intelligence in practice

At Permutable AI, our AI-driven market sentiment engine is designed to help market participants move from a reactive stance to a more proactive one by delivering real-time commodity and macro intelligence derived from global events as they unfold.

Our AI engine processes vast volumes of news and information, identifying the stories, themes, and entities driving market sentiment and volatility across commodities and macro markets. This allows clients to monitor how narratives form, accelerate, and influence price behaviour – a core requirement for modern macro intelligence.

Clients engage with our intelligence in two primary ways. Discretionary users explore thematic developments, geopolitical risk signals, and sentiment momentum across regions and asset classes. Meanwhile, systematic users integrate structured asset and macro intelligence outputs into models and workflows via proprietary sentiment indices, supporting risk management, scenario analysis, and investment decision-making.

“What we’re seeing from clients is a clear shift towards AI-driven asset macro intelligence that can be operationalised,” said Michael Brisley, Chief Commercial Officer at Permutable AI. “Expanding our Asia-Pacific client coverage allows us to support organisations that need timely, explainable macro intelligence on how regional developments translate into global market risk.”

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A measured, client-led expansion of commodity and macro intelligence coverage

Our expansion of Asia-Pacific client coverage is intentionally measured. Rather than pursuing a one-size-fits-all regional strategy, we are focusing on where enhanced market intelligence coverage delivers the most immediate value and where Asia-linked developments are most relevant to global decision-making.

Trust, transparency, and credibility remain central to our approach. We work closely with institutional clients and subject-matter experts to ensure our macro intelligence outputs remain explainable, robust, and aligned with professional standards. Our technology is designed to augment human judgement, not replace it.

This development forms part of Permutable AI’s broader strategy to build a globally integrated market intelligence layer that connects geopolitics, macroeconomics, and commodities markets – helping clients navigate an increasingly complex and volatile global environment.

Get in touch to see how Permutable AI’s AI-driven macro and commodity intelligence can support your investment mandates and global decision-making. Simply email enquiries@permutable.ai to set up an initial call or trial access to our commodity or global macro intelligence feeds.