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.

NetApp Updates Google Cloud Capabilities

Data infrastructure specialist NetApp has released updates to its collaboration with Google Cloud, providing tools designed to assist customers in using enterprise data for artificial intelligence workloads.

These innovations include the general availability of NetApp Data Migrator and the Google Cloud NetApp Volumes Flex unified service level.

The updates allow for the management of file and block workloads within a single storage pool across all Google regions.

“With these updates, NetApp and Google have removed a major source of cost, delay and complexity in AI adoption,” said Pravjit Tiwana, senior vice president and general manager of cloud storage and services at NetApp.

ISS STOXX Brings Governance Scores into Corporate Rating Offering

ISS STOXX has integrated Governance QualityScore data into its Corporate Rating system, combining sustainability signals with governance analytics to assist investors in screening and portfolio allocation.

The system converts decile scores from the Governance QualityScore into a twelve-point scale ranging from A+ to D-.

Users can access the updated ratings through an analytics dashboard, application programming interfaces, or file transfer protocols.

“Our newly enhanced Corporate Rating combines trusted methodologies and transforms fragmented sustainability, governance and financial risk data into robust insights,” said Till Jung, head of the sustainability business for ISS STOXX. “The Corporate Rating supports investors across a wide range of use cases – from managing risks and meeting evolving regulatory requirements, to building high-performing, sustainable portfolios and delivering transparent reporting and stakeholder communications.”

73 Strings Unifies Data Operating System for Private Markets Participants

Private markets valuation and portfolio intelligence platform 73 Strings has launched a unified global operating model, which the company said “brings together the platform, people, and clients into one ecosystem”.

This transition aligns global teams to support clients across private equity, private credit, venture capital and infrastructure, it said.

“Private markets are entering a new era, defined by data, AI and the need to operate at scale,” said Yann Magnan, chief executive and co-founder of 73 Strings. “Our global operating model… allows us to innovate faster and help our clients stay ahead, while maintaining the rigour and trust that underpin investment decisions.”

The firm has appointed Jazmin Hogan as global head of client operations to lead the client organisation from New York. Hogan previously held leadership roles at Apollo Global Management, Blackstone and Kohlberg & Company.

73 Strings’ integrated platform combines valuation, portfolio monitoring and data extraction to replace fragmented spreadsheet-based processes.

Novata Broadens Sustainability Regulations Monitor

Sustainability management data platform provider Novata expanded its regulatory monitoring service to include a premium tier for tracking global compliance obligations.

The updated engine utilises 30 data points, including revenue and jurisdiction, to identify specific legal requirements for companies and investors. It combines AI monitoring with human expertise to provide clarity on which rules apply to specific organisations.

“Regulatory requirements are no longer just a ‘reporting’ issue; they are a core business risk,” said Caitlin Pentifallo, Novata’s head of regulatory strategy and sustainability.

“We built the Regulatory Navigator to act as an experienced coach for our clients. By combining real-time AI monitoring with our team’s sustainability expertise, we provide the clarity teams need to stop wondering which rules apply and start taking action.”

SimCorp Builds AI-Powered Market Stress Test for Axioma Risk

SimCorp has introduced an artificial intelligence capability for stress testing market scenarios within its Axioma Risk platform.

The enhancement uses natural language processing to enable investment managers to design customised market scenarios and identify historical precedents without manual configuration. It identifies portfolio vulnerabilities and interprets risks arising from interest rate changes, currency movements or geopolitical events.

“Accelerating stress testing workflows can be game changer for investment teams,” said Ian Lumb, head of risk and performance product management. “When stress test configuration takes hours, risk teams cannot respond to events in real time. We are removing that bottleneck with AI-powered stress testing.”

The system translates macroeconomic concerns into financial shocks and provides statistical metrics to evaluate the plausibility of each scenario.

Private Direct Lending Data Added to Bloomberg 

Bloomberg has introduced a private direct lending data service to increase visibility within the private credit market.

The offering aggregates information from multiple sources to cover 15,000 active loans representing about US$1 trillion in deal flow. It consolidates US business development company filings, merger and acquisition disclosures, and news reporting to create standardised loan-level records.

“Direct lending has historically been difficult to evaluate because loan-level data is often fragmented, inconsistent and not easily comparable across the markets,” said Brad Foster, head of fixed income and private markets. “Bloomberg is extending its end-to-end credit capabilities into private markets by combining a normalised dataset of all US BDC-reported and other direct lending loans with integrated analytics and enterprise delivery so clients can analyse pricing trends, compare loan terms, and apply more consistent analysis across public and private credit.”

The platform includes specific data points such as deal size, interest rate spreads and credit health indicators to support risk monitoring and benchmarking.

Clients can access the service via the Terminal and via Data License at its web portal, with delivery options including SFTP, REST API or a cloud environment.

Private Markets Analytics Datasets Unveiled by S&P Global

S&P Global has launched the S&P Global, Cambridge Associates, Mercer Private Markets Performance Analytics datasets, providing data on funds and underlying assets within the private credit and real assets sectors.

The datasets result from a collaboration introduced in 2025 and aim to assist investors with performance comparisons and risk management.

“As private markets evolve, the need for consistent, decision-ready intelligence has never been greater,” said Saugata Saha, president of S&P Global Market Intelligence and chief enterprise data officer of S&P Global. “This collaboration brings a more rigorous, standardised approach to the private markets ecosystem, transforming fragmented information into comparable intelligence that investors can use to assess performance, evaluate risk and make more disciplined investment decisions.”

The system utilises S&P Global’s iLEVEL portfolio monitoring platform and a proprietary taxonomy to aggregate and anonymise data for limited and general partners.

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.