Arcesium is a leading provider of financial technology. They focus on the investment lifecycle and data management. The company recently announced new features for its data platform. This comprehensive self-service tool is the Aquata platform. This new suite of AI features helps institutional asset managers. It also assists hedge funds and private market funds. These firms can now scale their AI strategies. They can also unlock powerful agentic workflows. Furthermore, they can extract greater value from various data sources. These data sources will power new investment strategies.
The new features include better unstructured data processing. This generative AI-powered agent extracts data efficiently. It works on documents like PDFs and emails. It also applies data quality and control rules. This creates operational leverage for many firms. The new features also include a Model Context Protocol (MCP) server. This server connects any enterprise AI tool to the Aquata platform. This allows firms to use their governed data foundation securely.
Bryan Dougherty, Chief Technology Officer at Arcesium, discussed the industry need for this solution.
“Financial services is completely awash with unstructured communications. That data is underutilized and creates management challenges. Generative AI is well-suited to mitigate those obstacles. We commit to being at our industry’s forefront.”
Operationalizing AI at Scale
The unstructured data capability extracts loan lifecycle events quickly. These events include paydowns and interest repricing. This previously required hours of manual validation. Now, investment operations teams can review exceptions in minutes. Additional applications cover processing borrower reporting. They also handle private equity financials and bilateral trading agreements. The Aquata platform simplifies these complex investment tasks.
The Aquata MCP server allows users to query data easily. They can orchestrate their investment lifecycle data with natural language. This improves efficiency and reliability in AI efforts. This approach uses a governed and trusted data foundation. This foundation is purpose-built for the complexity of the investment industry. These new capabilities represent a significant advance. They help institutional investors operationalize AI workflows. The platform ensures this happens securely and at scale.
Mitya Miller, Senior Vice President and General Manager of the Aquata platform, emphasized the solution’s impact.
“Our clients demand solutions that can handle high volumes. They must produce extremely low margins of error. Some clients process hundreds of thousands of documents monthly. They deploy sophisticated AI workflows. These require seamless engagement with underlying data. The launch demonstrates our commitment to achieving AI-enabled scale.”
These new AI tools are now available to all platform users. The Aquata platform unifies unstructured data intelligence. It combines natural-language querying with a governed data foundation. This single operating model is purpose-built for institutional investing needs.
Explore Finance Tech News for the latest innovations in financial technologies and expert insights shaping the future of digital finance!
News Source: Businesswire.com