ToltIQ launches Blueprints to automate PE deal document creation
ToltIQ, the AI-powered private markets due diligence platform, has launched Blueprints, a feature that converts a firm's existing document templates into reusable structures that automatically repopulate with deal-specific content. The product targets a persistent friction point in private equity workflows: the manual effort of rebuilding identical document formats — investment committee memos, deal tearsheets, LP updates, closeout memos — for every new opportunity.
The company was founded by Ed Brandman, who previously served as Partner, Chief Information Officer and Head of Credit Operations at KKR. That pedigree is relevant context: ToltIQ is pitching a product shaped by direct experience of the operational overhead PE deal teams face at scale.
How Blueprints works
Blueprints ingests source documents in PDF, Word, or PowerPoint format, analyses their structure, and converts them into templates that dynamically pull content from each deal's own documents when executed. The system preserves the originating firm's formatting and brand standards. Administrators and power users can build and refine templates for firm-wide deployment, while individual analysts retain the ability to customise outputs for specific transactions.
Two engineering challenges underpinned the build, according to ToltIQ. The first was real-time collaboration: the company says it has developed an editing architecture that allows human users and AI agents to contribute to the same document simultaneously, producing fully formatted outputs. The second was citation integrity — ensuring every synthesised insight is traceable to a named source document rather than a model-generated reference. The latter addresses a material concern for regulated investment workflows, where hallucinated or unsourced content carries fiduciary risk.
"Deal teams are generating first-pass IC decks, tearsheets, closeout memos, and LP updates with outputs already formatted and populated with deal-specific information," said Eric Jacobs, Director of Client Solutions at ToltIQ. "That means less time on structure and more time on the judgment calls that actually move a deal forward."
Market context
The application of AI to private markets document workflows is attracting a growing number of vendors. Established virtual data room providers — including Datasite, Intralinks, and Ansarada — have moved to integrate AI summarisation and extraction capabilities into their platforms, while a cohort of specialist startups is competing on depth of PE-specific functionality. ToltIQ's positioning as a purpose-built due diligence layer, rather than a horizontal document platform, is designed to differentiate on domain specificity.
The citation-traceability capability Blueprints highlights is increasingly a baseline expectation in financial services AI deployments, not a differentiator in isolation. Enterprise buyers in the asset-management sector are under growing pressure from regulators — including the UK's FCA and the SEC in the United States — to demonstrate that AI-assisted investment processes maintain auditable, human-reviewable reasoning chains. The ability to trace every output to a source document is therefore both a product feature and a compliance posture.
ToltIQ has not disclosed customer names, pricing, or the number of firms currently using the platform. The company is inviting prospective customers to request a product demonstration. Named milestones to watch include first disclosed enterprise contract wins, any integration partnerships with major VDR providers, and whether ToltIQ pursues external funding to accelerate go-to-market.