Regnology Extends Ascend Platform with Agentic AI to Operationalise Continuous Regulatory Intelligence

Regnology has expanded its Ascend platform with an agentic AI layer and deeper integration of its Regnology Supervisory Hub (RSH), positioning the platform as a unified environment for both regulatory reporting and supervisory oversight. The update builds on Ascend’s initial rollout in late 2025, which focused on data governance, automation and workflow orchestration across regulatory reporting processes.

The latest iteration shifts the emphasis from workflow automation to adaptive, intelligence-led operations. By embedding AI agents directly into the platform, Regnology is aiming to move reporting processes away from periodic, rules-based execution towards continuous monitoring and decision support. These agents are designed to manage workflows, analyse regulatory data and generate context-specific insights on an ongoing basis, operating on the firm’s unified regulatory data (RGD) model.

This architecture is consistent with broader industry moves towards granular, data-centric regulatory reporting, where consistency of underlying data models becomes a prerequisite for automation at scale. In this context, Ascend’s reliance on a single data foundation is intended to support both institutional reporting and supervisory consumption without duplication or transformation across systems.

The integration of RSH into the Ascend platform extends this model to regulators. Workflow agents are applied across supervisory processes such as data collection, validation and examination, while analytics agents surface key risk indicators and interpret outputs ranging from granular data points to narrative reports. The result is a more continuous oversight approach, where supervisory activities are embedded into the same data and workflow infrastructure used by reporting firms.

Regnology frames this as a step towards its long-standing Straight-Through-Reporting (STR) vision, in which regulatory reporting becomes a largely automated, end-to-end process supported by standardised data, embedded controls and real-time analytics. The addition of agentic AI introduces a layer of orchestration that can dynamically adjust workflows and prioritise risk signals, rather than relying on static reporting cycles.

“Our position at the nexus of risk, regulation, and finance gives Regnology a unique vantage point to support the industry’s evolution,” said Rob Mackay, CEO of Regnology. “Our next-gen Ascend platform is the engine of a paradigm shift transforming compliance into a single strategic command centre where high-quality data, continuous insight, and intelligent orchestration converge.”

The emphasis on convergence between reporting and supervision is notable. By extending the same AI-enabled infrastructure to both sides of the regulatory relationship, the platform aligns with emerging supervisory expectations around data lineage, transparency and near real-time access to granular information. This mirrors regulatory initiatives globally that are moving away from template-based submissions towards direct consumption of firm-level data.

“Ascend was designed as the foundation for a new era of regulatory reporting —bringing automation, transparency, and intelligence to the core of the financial operating model,” said Linda Middleditch, Chief Product Officer at Regnology. “By extending agentic AI to both regulators and the regulated on a trusted RGD data backbone, we empower the industry to move from reactive reporting to continuous intelligence for faster decisions and more resilient oversight.”

Regnology said it will progressively migrate its broader solution set onto the Ascend platform, indicating a longer-term strategy to consolidate its regulatory reporting, risk and finance capabilities within a single, AI-enabled architecture. For firms, the practical implication is a continued shift towards platforms that combine data standardisation, workflow automation and supervisory alignment—reducing fragmentation across reporting regimes while increasing expectations around data quality and control.

Bloomberg Expands MAC3 Risk Models for Enhanced Portfolio and Risk Forecasting Across Public and Private Investments

Bloomberg has expanded its MAC3 multi-asset risk models to cover private markets, extending the platform’s portfolio and risk forecasting capabilities beyond traditional public asset classes into private equity, private credit, real estate, infrastructure, hedge funds and liquid alternatives. The update reflects growing demand among institutional investors for more consistent measurement of risk across portfolios spanning both public and private investments. Bloomberg presents the expansion as a way to bring those exposures into a broader portfolio risk framework.

“Institutional investors are increasingly allocating across both public and private markets, yet risk is often measured in silos,” said Jose Menchero, Head of Portfolio Analytics Research at Bloomberg. “With these new models, MAC3 delivers a consistent, cross-asset factor framework that enables Bloomberg clients to understand and manage risk seamlessly across their entire portfolio in an increasingly complex investment landscape.”

Bloomberg MAC3 is a multi-asset class risk factor model that combines quantitative research techniques with Bloomberg security data to provide institutional investors with a unified view of risk across the portfolio. The platform currently includes more than 3,000 individual risk factors and supports risk forecasting, risk attribution, performance attribution, stress testing and optimization. The model also offers six time horizons, ranging from a responsive daily model to a stable long-term model, giving firms flexibility to align risk forecasts with different investment decision-making processes.

The new private markets capability adds MAC3 models for private asset funds, hedge funds and liquid alternative funds, allowing investors to forecast and decompose risk more consistently across public and private markets and support a total portfolio view across asset types. Bloomberg says the private fund model is constructed using dedicated private-asset factors and data on approximately 50,000 private funds covering private equity, private credit, real estate and infrastructure strategies, alongside hedge funds and liquid alternatives.

Across the alternatives fund suite, the models capture exposures across strategies, regions, sectors, styles and key macro sensitivities including rates, commodities, volatility and FX. Bloomberg says this can help investors identify shared risk drivers across managers and strategies, supporting portfolio construction, risk budgeting and governance at total portfolio level. Bloomberg’s MAC3 risk models are available to Terminal subscribers, who can use them to explore portfolio risk across public and private assets. Bloomberg PORT Enterprise customers can also license the underlying risk data, including risk factor exposures, volatilities, correlations and historical returns, with programmatic access available via API.

More broadly, Bloomberg positions MAC3 and PORT Enterprise as part of its wider buyside solutions suite, spanning research management, order and execution management, portfolio and risk analytics, trade compliance and operations. In that sense, the private markets expansion extends Bloomberg’s effort to support cross-asset investment workflows through a common data and analytics foundation.

FactSet Rolls Out AI-Backed Search, Bank Workflow Tools

FactSet has begun rolling out an artificial intelligence document search tool to 85,000 financial professionals, enabling them to access and extract insights from unstructured datasets including transcripts, filings and news.

The beta release follows previous integrations with external large language models and the appointment of a chief artificial intelligence officer, Kate Stepp.

“AI is fundamentally altering the financial landscape, and FactSet is proud to set the standard for trustworthy, impactful adoption,” Stepp said.

The tool includes a natural language agent for automated summaries and a comparison grid to benchmark different companies.

The Norwalk, Connecticut-based financial digital platform provider also unveiled an alpha version of an AI ecosystem for banking workflows. The software automates deal processes and research tasks through a collaboration with Finster AI, a company in which FactSet has also invested.

Users can generate pitch materials, memos and company profiles using natural language prompts within a secure environment. Stepp said the software delivers an agentic ecosystem that unlocks access to datasets and task automation capabilities.

It integrates with the FactSet workstation and Microsoft Office, allowing clients to incorporate proprietary data through various deployment configurations.

Clarity AI to Add New Climate Data Sets in Tie-Up With RiskThinking

Clarity AI will integrate granular climate-related data from more than three million assets into the US-based sustainability tech company’s platform as part of a deal with climate modelling provider RiskThinking.

The integration uses a digital twin platform to simulate hydrologic models across various climate scenarios and warming levels. The move is aimed at providing transparency into climate vulnerability and biodiversity impact.

“We are bridging the gap between corporate-level reporting and asset-level reality,” said Rebeca Minguela, chief executive and founder of Clarity AI. “While top-down models provide an essential high-level perspective, our partnership with RiskThinking adds the granular detail required for rigorous audit and risk analysis.”

The platform can be accessed via a web app, through artificial intelligence agents and through an API, an MCP and other connectors. It will “empower our clients to see the full picture of how climate and nature affect their portfolios”, Minguela added.

Gresham Renames S&P Data Management Acquisition Opus EDM

Enterprise data automation specialist Gresham has changed the name of the data management platform it acquired from S&P Global Market Intelligence.

Opus EDM, which was previously known as Markit EDM and IHS Markit EDM, has been integrated into Gresham’s portfolio to support data operations for financial institutions.

More than 150 firms use the software to manage about US$12 trillion in assets across global capital markets.

Gresham chief executive Mark Hepsworth said the new name heralds an era focused on product innovation, artificial intelligence enablement and managed services to reduce total cost of ownership.

Opus EDM operates alongside the existing Prime EDM product to offer buy-side and sell-side clients a broader range of technical capabilities.

Trading Technologies Launches Automated Support for EEX Gas Spot Contracts

Trading Technologies International, Inc. (TT) has announced full support for European Energy Exchange (EEX) Gas Spot contracts through its capital markets technology platform. The new offering includes a comprehensive suite of trade execution tools and a bespoke auto-matching capability, a first for these specific contracts. Currently available for testing and simulation, the connectivity aims to streamline gas storage and trading operations by removing the necessity for manual order submission and trade aggregation.

The solution provides a trading experience comparable to listed derivatives, allowing institutional and commercial energy traders to manage gas spot and futures markets on a single platform. The integration of TT’s APIs and automated tools, including the Autospreader and execution algorithms, allows market participants to automate various trading tasks and streamline their operations. This launch follows two years of expanded growth for TT within the physical spot and over-the-counter energy sectors.

This development addresses high demand among energy traders for automated solutions in the EEX Gas Spot market. Developed with input from major industry participants, the platform leverages TT’s three decades of experience in institutional trading technology.

Abanca Portugal Implements Murex MX.3 Platform for Capital Markets

Abanca Portugal has successfully deployed MX.3, the fully integrated front-to-back-to-risk platform provided by Murex. This implementation follows the bank’s recent acquisition of EuroBic (formerly Banco BIC) and marks a significant step in the firm’s strategic expansion across the Iberian region. The transition to a unified infrastructure allows the institution to replace fragmented legacy systems with a modern, scalable solution for its capital markets operations.

The MX.3 platform enables Abanca Portugal to manage the entire trade life cycle within a single system. Its capabilities cover pricing, trading, middle-office workflows, and back-office processing, alongside collateral management and market and credit risk assessment. By consolidating these functions, the bank aims to improve operational efficiency, strengthen internal risk controls, and reduce the time required to bring new products to market across various asset classes.

Murex has highlighted that this go-live reinforces its presence in the Portuguese market. For Abanca, the platform serves as a technological cornerstone designed to support long-term growth and regulatory compliance. The collaboration ensures that the bank’s Portuguese operations are now equipped with the same technology used to elevate risk and operational performance throughout the wider Abanca Corporación Bancaria group.

FIX Trading Community Urges Regulatory Alignment in Response to FCA Consultations

The FIX Trading Community has called for significant changes to UK financial regulation in its formal response to FCA consultations on the UK consolidated tape and transaction reporting. Executive Director Jim Kaye emphasised that harmonising UK reporting rules more closely with EU standards would reduce complexity, lower the reporting burden, and improve the quality of market data. By addressing current concerns with post-trade transparency, the association aims to boost investor confidence in UK-based liquidity.

Regarding the 2027 equities consolidated tape, FIX recommends a single provider to ensure a “single source of truth.” Key proposals include aligning off-venue transparency exemptions with off-book exchange trades, removing duplicative reporting for trades already captured by EU Approved Publication Arrangements, and introducing disclosures for trade execution methodology. The association also seeks clearer regulatory guidelines for order chains and cross-border transactions to eliminate ambiguity in reporting responsibilities.

On transaction reporting, FIX advocates for a pragmatic approach to data sourcing, including the use of Legal Entity Identifiers for trusts and the FCA’s FIRDS as a primary data source. The response suggests removing specific RTS 22 fields while preserving essential transparency data. However, the association cautioned that proposed changes to data points, such as DEA indicators, may require significant system upgrades for firms. Overall, the recommendations focus on simplifying logic and maintaining data quality to support market integrity.

LSEG and Dell Technologies Announce Multi-Year Private Cloud Collaboration

LSEG has entered into a multi-year agreement with Dell Technologies to develop a new private cloud platform and optimise its existing on-premises infrastructure. This initiative is designed to bolster the resilience and performance of various Data & Analytics and Markets platforms that function outside of LSEG’s current public cloud environments.

As part of this collaboration, Dell will assist in the design and implementation of a secure, high-performance infrastructure by integrating its servers, storage, and automation software. This unified system aligns with LSEG’s broader multi-cloud strategy, serving as a complement to its established public cloud partnerships.

The project aims to provide the financial markets with enhanced operational flexibility and continuous availability. By leveraging Dell’s automation capabilities, LSEG intends to maintain full control over its environment while meeting the stringent security and regulatory requirements essential for global market infrastructure.

Avelacom Expands Latin American Reach with Direct Connection to nuam Exchange Infrastructure

Avelacom, the global provider of low-latency network solutions, has expanded its presence in Latin America by establishing a direct connection to nuam, the holding company integrating the stock exchanges of Chile, Colombia, and Peru. The company has deployed a new physical point of presence (PoP) at the Equinix ST1 data centre in Santiago, Chile. This infrastructure allows institutional clients to access real-time market data and order routing through ultra-low latency connectivity, supporting both individual and unified access across all three nuam markets.

The expansion builds on Avelacom’s existing regional footprint, which includes support for the Brazilian Exchange (B3) since 2020 and a partnership with Argentina’s BYMA. By linking Chile, Colombia, and Peru to its established networks in Brazil and Argentina, Avelacom has created a comprehensive infrastructure layer. This connectivity enables efficient cross-market trading and arbitrage strategies between Latin American markets and major global financial hubs in North America, Europe, and Asia.

This development reflects a shift toward more integrated, cross-border trading strategies within the region. By providing predictable performance and high-speed access, the infrastructure is specifically designed for latency-sensitive operations, such as algorithmic trading and market making, ensuring that global investors can operate with the reliability and speed required for modern financial environments.