ISI Launches AI-Powered Corporate Debt Intelligence Platform for Emerging Markets

ISI, a global provider of market intelligence, has launched a new platform designed for investors, bankers, and advisers focusing on emerging market corporates. Powered by REDD intelligence and the proprietary AI tool AskISI, the platform covers public bonds, private credit, and primary debt issuance. It aims to provide transparency in opaque markets by surfacing credit risks and event-driven dislocations before they trigger market reactions.

The hub integrates financial data, restructuring developments, and M&A activity for over 2,100 hard-currency corporate bond issuers. It offers deep coverage of high-yield and crossover credits, supported by ten years of historical data and detailed financials for 1,700 companies. Users can utilise AI-driven research to extract insights from more than 7,000 bond prospectuses and documents, significantly reducing manual research time.

This launch follows the introduction of REDD for Sovereign Debt and features a redesigned interface with personalised alerts and custom watchlists. By consolidating fragmented data and local expert insights into a single experience, the platform enables portfolio managers and credit analysts to track developments from origination through to secondary market performance.

TS Imagine Integrates OpenYield to Enhance Fixed Income Trading Efficiency

TS Imagine has announced the integration of OpenYield, an SEC-registered alternative trading system (ATS), into its TradeSmart platform. This partnership provides TradeSmart users with direct access to OpenYield’s all-to-all marketplace, facilitating automated liquidity for municipal, corporate, and government bonds. The move addresses the increasing demand for transparency and “equity-like” efficiency in fixed income markets, particularly within the fragmented municipal bond sector.

TradeSmart clients can now route orders to a venue specifically designed for programmatic and systematic execution. This supports modern trading requirements such as automated rebalancing and portfolio execution, which currently drive the majority of fixed income volumes. The integration also assists firms in meeting their best execution obligations under Reg BI by providing a transparent, defensible audit trail through live, third-party benchmarked quotes.

The effectiveness of this integration is supported by independent data from BondWave, which analysed OpenYield’s Q3 2025 execution quality. The analysis demonstrated significant price improvements over broader market benchmarks, including 44 basis points for municipal bonds and 17 basis points for corporate bonds. By streamlining manual workflows and providing access to firm liquidity, the collaboration helps trading desks navigate the complexities of a market containing over one million individual securities.

Gresham EDM Platform Integrates FundGuard Investment Accounting Tools

Gresham has integrated FundGuard’s multi-book investment accounting capabilities with its enterprise data management solutions.

This inclusion enables institutional investors and fund administrators to access a single source of data across public and private asset classes. Investment accounting systems provide the infrastructure for asset managers to track portfolios, calculate net asset values, and maintain regulatory compliance.

Nathan Wolaver, chief revenue officer of Gresham, said that the collaboration creates a unified data foundation that helps clients make decisions with control and confidence.

The joint offering uses artificial intelligence to automate data accuracy and connects front-office tasks to back-office workflows.

Gresham recently expanded its portfolio through the acquisition of the enterprise data management business of S&P Global.

Qomply Brings Regulatory Intelligence Into AI Compliance Workflows

Qomply has launched QomplyAI, a new capability designed to make its regulatory intelligence available through AI assistants including ChatGPT, Claude and other Model Context Protocol-compatible clients.

QomplyAI is intended to let reporting, compliance and oversight teams ask regulatory questions in natural language and receive structured answers that can support workflow decisions. Example use cases include checking whether an instrument is MiFID reportable on a given trade date, retrieving reportable ISINs from a CFI code, or obtaining a UPI for an ISIN from within an AI assistant.

The capability connects AI tools to Qomply’s centralised regulatory intelligence hub, using the same data and logic that support the firm’s transaction reporting solutions. That positioning is important as compliance teams assess how AI can be used without weakening governance, auditability or control over regulatory interpretation.

Michelle Zak, Co-Founder of Qomply, said: “Firms are increasingly working in AI-enabled environments, but the key is ensuring the answers they rely on are accurate, consistent and based on trusted regulatory logic. QomplyAI brings our intelligence directly into those workflows, so teams can move faster while maintaining control.”

Qomply cites recent KPMG research suggesting that AI agent adoption is moving beyond exploratory use. According to the survey of more than 2,100 global leaders, 54% of organisations are actively deploying AI agents, while organisations globally plan to spend an average of $186 million on AI over the next 12 months, compared with $207 million in the U.S.

Zak added: “With global AI-adoption, users are demanding accurate and defendable results. Qomply sits at the heart of that regulatory intelligence.” For regulated firms, the practical value lies in bringing verified regulatory logic into everyday AI workflows while retaining explainability and consistency.

BridgeWise Utilises X Data in New Wealth-Focused Sentiment Analysis Tool

Wealth management financial technology specialist BridgeWise has collaborated with X to integrate data from the social media platform into its intelligence engine to provide social sentiment analysis for thousands of securities.

The system utilises an API-driven connector and a proprietary framework to convert unstructured data into structured signals for financial institutions. The resultant SentimentWise is a solution intended to allow users to monitor shifts in investor mood and identify trends through the analysis of both fundamental and alternative data. The offering builds on BridgeWise’s acquisition of Context Analytics.

BridgeWise co-founder and chief executive Gaby Diamant said the arrangement turns global conversations into a quantifiable tool to assist investors with decision-making.

“Markets move on more than just numbers; they move on what people are saying, thinking, and feeling in the moment,” Diamant said. “By plugging X’s data stream into our engine alongside our deep fundamental and technical analysis, we’re helping our clients cut through the noise to see what actually matters.”

Sentiment analysis uses algorithms to evaluate public opinion and social media activity to gauge potential market movements.

Fitch Builds Fitch Nexus MCP Connector to Ratings Data

Fitch Solutions has launched a Model Context Protocol (MCP) connector, Fitch Nexus, that enables clients to access Fitch Ratings content through internal AI applications and large language models.

The connector provides credit research, historical ratings data and financial forecasts through a single integration.

“Fitch Nexus is designed to deliver faster, more actionable insights with greater efficiency and immediacy,” said Fitch Solutions chief commercial officer Christopher Sparke. “It reduces the distance between question and answer, enabling our clients to access the signals, commentary, and data they need to inform investment and risk management decisions.”

Future updates will include additional capabilities from CreditSights, BMI, and Sustainable Fitch to expand the available dataset. MCP is an open standard that enables AI assistants to connect with data sources and tools across different platforms.

Trading Technologies Expands TT FX Platform to Include Forwards and Swaps

Trading Technologies International, Inc. (TT) has announced a significant expansion of its TT FX platform, broadening its product coverage for institutional foreign exchange and precious metals traders. While previously focused on spot FX, the platform now supports forwards, NDFs, and swaps. This update integrates liquidity from a wider range of bank and non-bank providers, supplementing existing connections to primary FX venues and electronic communication networks.

The enhanced offering allows clients to manage OTC and exchange-traded instruments through a single EMS. Key technical features include the integration of bank algorithms, low-latency execution via co-located servers, and the Autospreader tool for simultaneous multi-asset hedging. Additionally, the platform introduces dedicated FX liquidity ladders and a unified post-trade workflow, which provides a streamlined data feed to prime brokers and risk management systems. This expansion aims to provide a deeper liquidity pool and more efficient multi-asset execution within a unified interface.

SIX Receives FINMA Approval to Integrate Digital Asset Services and Launch Crypto Custody

The Swiss financial infrastructure provider, SIX, has secured approval from the Swiss Financial Market Supervisory Authority (FINMA) to merge its digital central securities depository, SIX Digital Exchange AG, into SIX SIS AG. This strategic consolidation integrates digital and traditional asset services into a single legal entity, establishing a unified foundation for post-trade services across diverse asset classes.

In addition to the merger, SIX has been authorised to provide crypto custody services through its licensed Central Securities Depository. This development represents another step in the evolution of regulated institutional market infrastructure, allowing financial institutions to manage crypto assets within the same framework used for traditional securities.

By connecting traditional and digital assets through a single, scalable post-trade environment, SIX aims to reduce systemic complexity and streamline the management of digital holdings for market participants.

TRG Screen Launches Contracts AI to Automate Market Data Agreement Analysis

TRG Screen has introduced Contracts AI, a new feature within its Optimize Spend platform designed to streamline the management of market data contracts. This AI-powered tool enables financial institutions to automatically extract and interpret complex usage rights, restrictions, and obligations from legal documents. By converting static contracts into structured, operational data, firms can now ingest critical information into their management systems in minutes rather than the hours or days previously required for manual analysis.

The solution addresses an industry bottleneck where a single vendor contract can take up to six hours for a specialist team to review. Contracts AI identifies key terms and provides full traceability to the original source clauses, ensuring that answers to compliance and renewal questions are auditable. This automation aims to reduce the administrative burden on legal, procurement, and compliance departments while minimising the risk of data misuse or missed obligations.

Comply Sets Out MCP Layer for Agentic Compliance Workflows

Comply has announced general availability in May 2026 for its  ComplyAI MCP Server, an enterprise-grade Model Context Protocol server designed to connect the firm’s compliance intelligence with major AI platforms used by financial services teams. The server is intended to let authorised compliance, advisor and operations users build custom AI agents in tools such as Claude, Microsoft Copilot and ChatGPT without developer support or separate IT projects.

Initial use cases include trade pre-clearance, policy guidance, morning compliance briefings, certification and onboarding workflows, annual review preparation, and natural-language reporting. So, a compliance officer could ask an AI tool to surface open certifications, open pre-clearance requests, certification gaps, and regulatory alerts, or support a pre-clearance request while maintaining the relevant compliance record.

The first enabled use case will be trade pre-clearance, where a fund manager or other financial services user can instruct an AI orchestrator to submit a request and receive an approval or denial, with audit logs retained in the Comply platform. Policy guidance through ComplyAI Policy Guide is available for testing and is expected to be available through the MCP Server in mid-2026.

Comply is framing the infrastructure layer as central to the reliability of agentic compliance. The company says its data foundation maintains regulatory content, firm-specific policies, supervisory procedures and employee compliance data for environments including the SEC, FINRA and FCA. Client data is stored, processed and audited within the Comply platform and is not shared with other firms.

Michael Stanton, CEO of Comply, linked the launch to the sequencing of data infrastructure and AI access: “We built the compliance data infrastructure before we built the AI.” David Bliss, Chief Product Officer, added: “You cannot get there by starting with AI. You have to earn it.”