FactSet Partners with Valutico to Integrate Private-Markets Valuation into Cobalt

FactSet has announced a partnership with Vienna-based valuation software provider Valutico to deliver an integrated valuation workflow for private capital markets, anchored within FactSet’s Cobalt portfolio monitoring platform.

Under the partnership, portfolio company financials collected in Cobalt flow directly into Valutico’s valuation environment, where analysts can run income-, market- and asset-based methodologies including discounted cash flow (DCF), trading multiples, transaction multiples, venture capital methods and leveraged buyout (LBO) models. Outputs – including enterprise value, equity value and waterfall calculations – flow back into Cobalt and are tracked alongside portfolio performance and reporting. Valutico’s platform draws on FactSet market data, including public company financials, estimates, comps and M&A transaction multiples.

The partnership comes amid a broader push by major data and analytics vendors – including BlackRock with its Aladdin/Preqin integration and JP Morgan with Private Market Data Solutions – to centralise private-markets workflows around a single system of record.

FactSet Integrates Private Markets Valuation Workflow with Valutico

FactSet has created an integrated valuation workflow for private capital markets in collaboration with valuation technology provider Valutico.

The tie-up connects portfolio data, valuation modelling and reporting into a single system to replace manual spreadsheet tasks.

Financial data from Cobalt, FactSet’s monitoring tool, flows into the Valutico platform where analysts can apply income, market and asset-based methodologies.

Finalised enterprise and equity values return to the Cobalt system to be tracked alongside performance metrics. Analysts can access FactSet market data and transaction multiples within the workflow, which expands on the company’s existing portfolio monitoring and investor reporting tools.

“The methodology, breadth, auditability and consistency required across a growing portfolio of companies demands a purpose-built platform,” said Emily Monaghan, Factset senior vice president and senior director of private capital. “Valutico brings that, and with FactSet’s market data – public company financials, estimates, comps, and transaction multiples – natively integrated into the workflow, our clients get a complete solution that is unique in the market.”

Regnology Finalizes Moody’s Acquisition as Reporting and Balance-Sheet Controls Converge

Regnology has completed its acquisition of Moody’s Regulatory Reporting & Asset and Liability Management Solutions business, adding another major transaction to a strategy that is taking the firm deeper into the intersection of regulatory reporting, risk, finance and balance-sheet management.

The deal adds Moody’s capabilities across Basel III compliance, IFRS 9 impairment, large-bank asset and liability management, Solvency II insurance reporting, and prudential and statistical regulatory reporting. The strategic value appears to lie in broadening Regnology’s coverage around a common operating problem: how institutions govern, control and explain regulatory data across risk, finance and reporting processes.

The transaction follows Regnology’s completion of the Wolters Kluwer Finance, Risk & Regulatory Reporting acquisition in December 2025. Together, the two deals reinforce Regnology’s expansion from core regulatory reporting into a broader platform model spanning balance-sheet risk, asset-liability management (ALM), capital, liquidity and supervisory reporting..

Regnology is framing the Moody’s acquisition around its Straight-Through Reporting (STR) vision, with the acquired solutions expected to strengthen Regnology Reporting Hub, Regnology Risk Hub and Regnology Finance Hub. The company says these solution lines will be progressively onboarded onto Ascend, its modular cloud-native platform, where shared services, scale and operational resilience can be applied while preserving domain-specific strengths. The company is also positioning RGI, its governed intelligence layer, as part of the architecture for reducing fragmentation and manual intervention across the regulatory lifecycle.

Rob Mackay, Chief Executive Officer of Regnology, said: “The completion of this transaction is a powerful catalyst for advancing our ambition to build the compliance operating system of the future and to break down traditional silos between Chief Risk Officers and Chief Financial Officers. By combining expanded functional coverage with deep regulatory expertise and modern, governed technology, we are uniquely positioned to help institutions strengthen control frameworks, increase transparency, and turn compliance into a source of insight and confidence.”

For Moody’s clients moving across to Regnology, the immediate emphasis is continuity. Regnology says the transition will be supported by a global team of more than 2,500 professionals, including more than 1,000 regulatory, risk and service specialists.

The acquisition comes as firms face heavier demands around governance, auditability and the management of complex regulatory data. That context gives the transaction broader significance: Regnology is building out a platform and operating model designed to support reporting, risk and finance teams within a more integrated data, workflow and control environment.

SAP Buys Dremio Data Lakehouse to Support AI, Data Integration

SAP has acquired data lakehouse platform Dremio, enabling the enterprise applications provider to integrate its own and third-party data in its SAP Business Data Cloud and to support analytical and agentic artificial intelligence workloads.
The deal, which remains subject to regulatory approval, would help eliminate bottlenecks to take customers from fragmented data to governed intelligence on a single open platform, the companies said.

“Enterprise AI doesn’t stall because the models aren’t good enough; it stalls because the data isn’t ready for AI agents,” said Philipp Herzig, SAP chief technology officer. “We can now take customers from raw, fragmented data to governed, AI-ready intelligence on a single open platform.”

The platform will use Apache Iceberg as a native foundation to unify data sources without requiring format conversion.

The agreement follows SAP investments in open-source projects and is expected to close in the third quarter of this year.

Leading Global Banks Join LTX as Fully Integrated Liquidity Providers

LTX, the AI-driven corporate bond e-trading platform backed by Broadridge Financial Solutions, has announced that Goldman Sachs, J.P. Morgan, TD Securities, Morgan Stanley, and Bank of America have joined as fully integrated liquidity providers. This expansion strengthens the platform’s capacity to provide investment-grade and high-yield bond liquidity to its growing network of over 40 providers and 100 buy-side investors. As part of this integration, J.P. Morgan and TD Securities will each appoint a representative to the LTX Board of Directors.

The platform utilizes patented AI and execution protocols to address long-standing challenges in the corporate bond market, such as high data costs and the complexity of executing large-sized trades. By facilitating direct, fully disclosed trading, LTX aims to preserve essential dealer-client relationships while lowering overall transaction costs. The platform also features BondGPT Intelligence, a generative AI tool that uses large language model orchestration to help traders identify opportunities and execute workflows more efficiently.

These developments highlight a significant move towards further electronification of the fixed income market. By combining innovative execution protocols with the support of major global financial institutions, LTX seeks to improve liquidity and provide more transparent e-trading options. This milestone reinforces Broadridge’s broader strategy of integrating intelligent trading solutions into the corporate bond ecosystem to enhance market efficiency.

Jito Labs Launches JTX Self-Custodial Trading Platform on Solana

Jito Labs, the team behind JitoSOL and the Jito Block Engine, has announced the launch of JTX, a self-custodial trading platform designed for the Solana network. Unveiled by CEO Lucas Bruder at Solana Accelerate in Miami, JTX aims to provide professional-grade execution and order types on-chain. The platform allows users to maintain full custody of their assets while accessing features typically associated with centralised exchanges, such as resting limits, brackets, OCO, and stop orders, alongside persistent TradingView charting.

The initial launch supports spot trading for verified Solana assets and Real World Assets (RWAs), with plans to expand into perpetuals and prediction markets. JTX is positioned to capture high-volume trading that currently occurs on centralised exchanges or competing blockchains. Its revenue model aligns with the existing Jito Protocol architecture: 80% of protocol revenue flows to the protocol, benefiting JTO token holders through fee-sharing, while the remaining 20% is reinvested into product development. The waitlist for early access is now open.

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.