Arcesium Unveils New Suite of AI Features in Aquata® to Help Institutional Investors Scale Their AI Strategies

New AI feature release for data platform, Aquata, includes unstructured data processing capabilities to transform manual processes, and MCP server to unlock greater interoperability

NEW YORK--(BUSINESS WIRE)--Arcesium, a leading provider of investment lifecycle and data management technology for the global investment industry, today announces the launch of a suite of new AI features for its comprehensive self-service data platform, Aquata. With these new capabilities, institutional asset managers, hedge funds, private markets funds and capital markets firms can scale up their AI strategies, unlock agentic workflows, and extract value from a greater variety of data sources to power their investment strategies. The new AI features include unstructured data processing capabilities that create operating leverage for firms running manual processes, as well as a Model Context Protocol (MCP) server that enables investment firms to connect any enterprise AI tool to their governed data foundation in the Aquata platform. These capabilities mark a significant advance in how institutional investors operationalize AI across their workflows – securely, efficiently, and at scale.

The unstructured data extraction capability is a generative AI-powered agent that obtains structured data from unstructured source documents, such as PDFs and emails. The agent ingests, organizes and applies data quality and control rules to extracted data so that investment firms can operate from a reliable foundation of structured proprietary data. With the capability natively embedded in the Arcesium ecosystem, clients can easily integrate extracted data into workflows. For Private Credit investment managers, Aquata's AI-powered unstructured data processing successfully extracted loan lifecycle events—including drawdowns, paydowns, interest repricing, and fees—from loan notices across 15+ counterparties, reducing what previously required hours of manual validation by investment operations teams to minutes of exception-based review. Additional applications include processing direct lending borrower reporting, private equity portfolio company financials, limited partner documents, real estate financing, and bilateral trading agreements.

The Aquata MCP server enables investment firms to use natural language to orchestrate their investment lifecycle data in Aquata from any enterprise AI interface. Initial MCP tools enable users to query the right data for analysis and leverage domain-aware schemas for running analytical or data transformation workloads. The Aquata MCP server also provides financial institutions with enhanced reliability, accuracy and efficiency in their AI efforts, as they can execute workflows from a data foundation that is governed, trusted, and purpose-built for the complexity and nuance of the investment industry domain.

Bryan Dougherty, Chief Technology Officer at Arcesium commented:

“Financial services is awash with unstructured communications. That data is both underutilized and creates tremendous data management challenges. Generative AI and LLMs are well-suited to mitigate those obstacles, and we’re committed to being at the forefront of our industry in integrating cutting-edge technology into AI-enabled solutions with interoperability at their core. The launch of this new suite of AI capabilities within the Aquata platform is part of Arcesium’s broader AI strategy to transform how we deliver value to our clients.”

Mitya Miller, Senior Vice President and General Manager of the Aquata platform, at Arcesium commented:

“Our clients demand solutions that can handle high volumes and produce low margins of error, with some clients processing hundreds of thousands of documents monthly for critical operational workflows. They are also deploying sophisticated AI workflows requiring the ability to seamlessly engage with their underlying investment lifecycle data. The launch of unstructured data extraction capability and MCP server in the Aquata platform demonstrates our commitment to helping the investment industry achieve AI-enabled operational scale. Together, these capabilities position Aquata as a leading, AI-ready data platform purpose-built for institutional investing – unifying unstructured data intelligence, natural-language querying, and a governed investment data foundation in a single operating model.”

The new AI tools are now available to all users of the Aquata platform. Aquata is a self-service data platform purpose-built for the investment industry, featuring pre-configured connectivity with data providers, as well as industry-specific data models, lineage, quality, transformation, and reporting tools.

About Arcesium:

Arcesium is a global financial technology company delivering pre- and post-investment and enterprise data management solutions to some of the world’s most sophisticated financial institutions, including private market firms, hedge funds, and institutional asset managers. Expertly designed to achieve a synchronized golden source of data throughout a client’s ecosystem, Arcesium’s cloud-native technology is built to systematize the most complex workflows and help clients achieve scale.

Today, Arcesium services over $5.3 trillion in gross AUM and over $1.2T in sell-side capital balances and has modelled over 160+ million investments to date. Arcesium was built from a platform developed and tested by investment and technology development firm, the D. E. Shaw group, and launched as a joint venture with Blackstone Multi-Asset Investing. J.P. Morgan, another large client, later made a strategic investment in the company, helping Arcesium further its mission: to power the entire investment lifecycle. Arcesium currently has a staff of over 2,300 software engineering, accounting, operations, and treasury professionals.

For more information about Arcesium and its capabilities, visit www.arcesium.com and follow the firm on LinkedIn.