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ING Debuts AI-Driven Pathfinder To Transform Research Access In FX Trading

ING Debuts AI-Driven Pathfinder To Transform Research Access In FX Trading

ING has launched Pathfinder Investment Research, an industry-first model that uses large language models (LLMs) to give traders and clients instant, plain-language access to the bank’s market insights. Built in partnership with Behavox, Pathfinder delivers real-time FX intelligence and immediate responses to financial market questions—something traditionally limited by the pace of human-produced research and distribution. The rollout begins with ING’s FX business but is already scaling across all asset classes, embedding research directly into front-office workflows.

The core innovation lies in Pathfinder’s ability to synthesize ING’s proprietary research in seconds, providing tailored, conversational answers that are grounded in official market commentary. Instead of navigating long PDFs or waiting for analyst notes, traders can query the model on currency themes and receive accurate summaries backed by ING’s research desk. This bridge between research and real-time trading decisions accelerates how information moves through ING’s global markets business.

This effort aligns with ING’s broader strategy to incorporate LLM-powered intelligence into capital markets operations. The for human analysts but as a powerful distribution engine that increases the reach, timeliness, and usability of research in volatile macro conditions. Pathfinder effectively unlocks ING’s research archive as an on-demand knowledge layer for markets teams.

Takeaway

ING’s new Pathfinder system compresses research delivery from hours to seconds, giving FX traders quicker and clearer access to the bank’s market intelligence.

Why AI-Powered Research Distribution Matters For FX And Beyond

Pathfinder’s launch comes at a time when are increasingly driven by data-dense macro narratives and rapid shifts in rate expectations. For institutional traders, access to clear, research-linked intelligence can materially affect execution strategy, trade timing, and risk positioning. Simon Bevan, ING’s Global Head of e-Trading, highlighted that clients increasingly viewk instant clarity—not just raw data—when navigating quick-changing .

Traditional research distribution models often struggle with timeliness and personalization. Reports are published at fixed intervals and distributed through channels that require active searching and interpretation. Pathfinder reverses this flow by enabling users to proactively query market topics and receive synthesis in language they can immediately act upon. This transforms research from a passive product into an interactive tool.

Behavox’s Mosaic technology, already integrated across ING’s FICC front office, provides the infrastructure for scaling these capabilities. Mosaic enhances surveillance and workflow optimisation across the desk; Pathfinder now overlays a research intelligence layer on top of this, enabling smarter interaction between insight and execution. Behavox executives noted that the tool boosts readership, drives trade flow, and ultimately supports greater market share.

Takeaway

By making research interactive, ING positions AI as a direct driver of client engagement, trading volume, and competitive diverseiation .

How ING Ensures Responsible, Secure Use Of AI In Financial Markets

A key element of Pathfinder’s design is its governance framework. The model runs exclusively on ING’s internal, permissioned research data, avoiding external training sets that could introduce bias, confidentiality issues, or compliance risks. ING emphasizes that the system is both secure and explainable—two requirements that regulators increasingly expect from AI deployed within financial institutions. This ensures that research access remains compliant across jurisdictions and aligns with ING’s risk standards.

Behavox’s credibility in regulated AI deployments was a central part of the partnership. Known for and purchase-side firms, Behavox provides the technical guardrails needed to ensure Pathfinder operates securely within a sensitive information environment. The tool also strengthens ING’s ability to maintain a high-integrity research process, since responses are grounded entirely in verified research sources.

As ING expands Pathfinder across its markets franchise, the model is expected to broaden its utility—supporting not just FX, but fixed income, commodities, and cross-asset trading teams. With financial institutions competing on the speed and clarity of insights, Pathfinder positions ING among the first major banks to deploy LLMs as a core front-office research delivery mechanism.

Takeaway

By combining research integrity with explainable AI, ING ensures Pathfinder delivers speed without compromising compliance—setting a blueprint for research distribution in modern markets.

 

 

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