NEW YORK CITY, NY / ACCESS Newswire / January 19, 2026 / Hebbia announced the integration of Preqin private markets data into its AI-powered research and workflow platform, expanding analytical access for investment professionals operating across private equity, venture capital, real assets, and private debt. The integration is designed to support structured research, document analysis, and data-driven decision-making in an environment where private market information is often fragmented and difficult to analyze efficiently.

The addition of Preqin data allows Hebbia platform users to query, analyze, and contextualize private market intelligence directly within existing research workflows. Preqin is widely recognized for maintaining one of the most comprehensive datasets covering fund performance, investor profiles, deal activity, fundraising trends, and asset-level insights across global private markets. By incorporating this data, Hebbia aims to reduce the operational friction associated with manual data extraction, cross-platform research, and static reporting.

Private markets have grown significantly over the past decade, with institutional capital increasingly allocated to non-public assets. Despite this growth, research workflows have remained heavily dependent on disconnected databases, spreadsheets, and document repositories. Hebbia's platform applies natural language processing and AI-driven search to enable structured interaction with large volumes of financial data and unstructured documents. The Preqin integration extends these capabilities by embedding authoritative private markets data directly into analytical processes.

According to Hebbia, the integration allows investment teams to perform deeper analysis without leaving the platform. Queries related to fund track records, manager performance, capital flows, and sector exposure can be conducted alongside internal documents, investment memos, and regulatory filings. This unified approach is intended to improve research consistency while reducing the time required to validate assumptions or reconcile external data with internal analysis.

The integration also addresses challenges related to data transparency and verification in private markets. Unlike public equities, private investments often lack standardized disclosure and frequent reporting. Preqin's structured datasets provide a reference point for benchmarking, comparative analysis, and historical trend evaluation. When combined with Hebbia's document intelligence capabilities, the data supports a more complete view of market conditions and sponsor activity.

Hebbia stated that the Preqin integration supports a range of use cases, including due diligence, portfolio monitoring, fundraising analysis, and market mapping. Asset managers can analyze sponsor histories and fund performance metrics, while allocators can evaluate exposure across geographies, strategies, and vintages. Advisory firms and research teams can leverage the combined data to assess market trends and prepare reports with greater efficiency.

The platform's AI-driven interface enables users to interact with data through natural language queries rather than traditional filters or rigid database structures. This approach is designed to lower technical barriers for research professionals while maintaining analytical rigor. Preqin data fields are mapped into Hebbia's query system, allowing structured outputs that align with institutional research standards.

Data governance and access control remain central considerations for institutional users. Hebbia indicated that the integration maintains existing security and permission frameworks, ensuring that licensed Preqin data is accessed appropriately within organizational boundaries. The platform continues to support auditability and compliance requirements relevant to financial institutions operating in regulated environments.

Industry observers note that demand for integrated data solutions has increased as private markets become more complex and competitive. Investment teams face pressure to move quickly while maintaining thorough analysis. Tools that combine authoritative datasets with AI-assisted workflows are increasingly viewed as necessary infrastructure rather than optional enhancements.

The Hebbia-Preqin integration reflects broader trends in financial technology toward consolidation of data and analysis tools. Rather than relying on multiple standalone platforms, firms are seeking environments where data ingestion, analysis, and documentation occur in a single system. This shift is driven by efficiency concerns as well as the need to reduce errors introduced by manual data handling.

Hebbia's platform has been adopted by investment firms, legal teams, and research organizations that manage large volumes of complex documents. The addition of Preqin data extends the platform's relevance within private markets, where investment decisions often depend on historical context and comparative benchmarks. The integration supports both top-down market analysis and bottom-up asset evaluation.

Preqin's datasets are updated continuously to reflect changes in fundraising activity, deal flow, and fund performance. By integrating this dynamic data into Hebbia's system, users gain access to current market information without relying solely on periodic reports. This capability supports ongoing monitoring rather than static analysis.

The announcement highlights ongoing investment in platform extensibility. Hebbia indicated that additional data integrations and workflow enhancements are planned as part of a broader strategy to support complex financial research. The focus remains on enabling structured analysis across diverse data sources while maintaining transparency and traceability.

As private markets continue to attract institutional capital, the need for efficient research infrastructure is expected to grow. The integration of Preqin data into Hebbia's AI-driven platform represents an effort to address this need by combining trusted market intelligence with advanced analytical tools.

About Hebbia

Hebbia develops AI-powered research and workflow software designed to help organizations analyze complex documents and datasets. The platform supports structured querying, document intelligence, and collaborative analysis across finance, legal, and research teams.

For additional information, visit https://www.hebbia.com.

Contact Info:
Contact Person Name: Media Relation
Company Name: Hebbia
Email: contact@hebbia.com

SOURCE: Hebbia