Nasdaq has completed its acquisition of Dasseti, bringing the company’s due-diligence questionnaires, proposal workflows and manager-monitoring tools into Nasdaq eVestment. The parties did not disclose the purchase price or other financial terms.
The transaction was announced on 23 July and closed on 2 September. It extends a relationship that began when Nasdaq Ventures invested in the business in 2022 and later led Dasseti’s Series A financing. Dasseti said in 2024 that a $4.3 million extension brought the total Series A round to $10.3 million.
The strategic change is that eVestment will no longer stop at manager discovery and quantitative comparison. Dasseti adds the documents, responses and continuing reviews through which institutional allocators decide whether a manager can receive and retain capital.
Nasdaq Is Joining Research Data to the Decision Record
Nasdaq says eVestment connects about 4,800 contributing asset managers with more than 1,200 asset owners and intermediaries. The platform covers more than $90 trillion in assets under management across 112,000 products in 109 countries, while its private-markets dataset includes more than 16,000 managers and 95,000 funds.
Dasseti reports a network of 17,000 asset managers and general partners representing $34 trillion. Those numbers are company measures and cannot simply be added to eVestment’s totals because the populations are likely to overlap. Their significance is workflow coverage: one dataset describes managers and products, while the other records how firms answer requests for proposals, operational reviews and continuing due diligence.
Nasdaq first invested when Dasseti operated as Diligend. The company adopted the Dasseti name in January 2023 and described an integration that combined qualitative due-diligence information with eVestment data. The acquisition converts that partnership into a single product roadmap.
Private Markets Create the Harder Data Problem
Public-market managers report into established databases, while private funds often distribute information through spreadsheets, PDF documents, data rooms and email. Each allocator may request a different template, and the answers can include policies, service-provider details, controls, performance explanations and portfolio-company data.
Dasseti’s products collect and reuse that material across RFPs and due-diligence questionnaires. AI and natural-language processing can map repeated questions, retrieve approved answers and identify changes. The practical benefit is less re-keying and a clearer record of which answer was provided to which investor.
That is a different use of AI from market prediction. The system is being applied to document classification, response drafting and monitoring. Nasdaq’s separate moves into fraud and compliance automation through Verafin and risk and regulatory software through Adenza follow the same infrastructure pattern: embed software in a recurring institutional control process.
AI Speeds Review but Does Not Own the Conclusion
Due diligence depends on evidence, version control and accountability. An AI system can retrieve a prior answer or flag an inconsistency, but an allocator still needs to establish whether the supporting document is current, whether a policy is implemented and whether an exception changes the investment case.
The acquisition announcement says the combined platform is expected to improve response times and data quality. It does not publish accuracy rates, review thresholds or details of how generated responses are approved. It also does not state whether Dasseti’s models are trained on client submissions, how private data is separated or which functions require human sign-off.
Those details matter because institutional questionnaires can contain non-public holdings, personnel information, cybersecurity controls and service-provider arrangements. The use of AI notetakers and automated screening in wealth management shows how quickly generated material becomes part of a controlled client record. In manager selection, the output may become part of the investment committee’s decision file.
The Deal Extends Nasdaq’s Capital Access Platform
eVestment sits within Nasdaq’s Capital Access Platforms division, alongside data, index and investor-relations products. Acquiring Dasseti gives the division a workflow that can remain active after a manager has been selected, because operational and investment risks require continuing review.
The model also creates a two-sided network. Allocators want comparable, current answers from more managers. Managers want to reuse approved data across more consultant and investor requests. Bringing both sides onto one environment can reduce duplicate work, but it also increases dependence on the platform’s taxonomy and permissioning.
Market-data companies have been broadening in the same direction. Parameta’s distribution through Snowflake moved licensed information into client workflows, while ICE added real-time analytics to its consolidated data. Nasdaq is applying the approach to the slower and less standardized process of institutional manager research.
Financial Terms and Integration Timing Remain Open
Nasdaq has not said what it paid, how Dasseti will contribute to revenue, whether the product will be sold separately or when the integration will be completed. The announcement also does not identify customer migrations, pricing changes or staff arrangements.
Those omissions prevent an assessment of the transaction’s near-term financial return. The disclosed logic is operational: link a large manager database to the questionnaires and monitoring that turn research into an allocation decision.
The acquisition will be judged on whether clients can move through that process without re-entering data and whether AI output remains traceable to approved source material. Scale is already present in the company figures. The unresolved question is whether integration converts that scale into a more reliable decision record.