ToltIQ
ToltIQ, formerly DiligentIQ, sells AI due diligence software to private markets deal teams. It reads virtual data rooms of thousands of documents and links every finding to its source.
Deal teams turn firm templates into reusable workflows, run bulk queries across hundreds of documents and share knowledge vaults. ToltIQ runs on models from OpenAI, Anthropic, Google and Cohere under zero data retention, in a single tenant setup that keeps US data in the United States and European data in Dublin.
H.I.G. Capital selected ToltIQ for firm wide diligence in March 2026, and it has partnerships with PwC, PitchBook and Intapp. ToltIQ holds SOC 2 Type II and ISO 27001 and is based in New York.
Capability Axes
Capability grades
15 of 15 axes rated · 11 graded A or B
Models do the ingesting, categorizing, extraction and drafting that turn a virtual data room's thousands of pages into something a deal team can question. Little survives their removal beyond a document viewer.
Framed as a co pilot, the platform gives deal teams team visible chats, a live dashboard of deal activity and firm defined workflows that produce editable outputs. Confidence indications on extracted terms, and flags for unparsed documents, are not described.
Every finding links to its source document, each feature has a recommended default model a user can change, and accuracy gains over direct model access are claimed across 14,400 scored responses. Figures, method and error rates behind those responses stay unpublished.
H.I.G. Capital chose the platform for a firm wide diligence deployment in March 2026, PwC formed a strategic relationship in June 2026, and HarbourVest, Fortress and Audax appear among users. No outcome figure attaches to a named firm, and the one testimonial comes from an unnamed holding company.
Rival bidders can review the same data room on one platform, which makes the boundary decisive, and it is specific: single tenant environments, no training on client data and zero data retention terms with each named model provider.
The security page reaches the product, with client data isolated and firms choosing firm wide or private visibility for each deal. A privacy document for the service and a retention period after a deal closes or breaks are nowhere stated.
SOC 2 Type II with no exceptions noted and ISO 27001:2022 certification are stated, with third party penetration testing and a Vanta hosted portal at trust.toltiq.com. Report access, by download or request, is unclear.
Limited partners diligence under fiduciary duties, private fund advisers work under rules on the diligence behind a commitment, and every firm on the platform handles material non public information, yet no supervisor, statute or rule is named.
Extraction is likely to work better on conventionally organized data rooms, so a company with thinner or less orthodox documentation may surface more apparent risk simply because the model read it worse. Prompts built from what diligence has historically flagged also carry old assumptions, and neither exposure is addressed.
An identifiable investment professional remains accountable for what reaches a committee, and a deal team can check any extracted term against the original. An extraction found wrong after a deal closes has no published accuracy commitment or correction process behind it.
OpenAI, Anthropic and Google Gemini are among four named model providers, and AWS hosts European data. Subprocessors are not listed, so the full chain behind a data room's documents is not enumerated.
Partnerships with Intapp for deal execution, PitchBook for private markets data and Deal Engine for sourcing are announced, with an MCP server launched in August 2026. Data room providers are not named as integrations, and developer documentation is not published.
US clients' data stays in the United States and European clients' data on dedicated AWS infrastructure in Dublin, where a data center opened in October 2025. A private deployment option does not appear.
Processing is built to keep AI costs forecastable at scale, the variable buyers worry about, yet no price, package or charging basis is published. Whether a firm pays per deal, per seat or per data room is not said.
General partners, limited partners and diligence advisers are served, with the product built around a deal team's data room work. Portfolio monitoring, valuation and fund operations fall outside its diligence scope.
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