Keye – AI-Powered Due Diligence Platform for Private Equity

Keye, a New York-based AI startup founded in 2024, launched an AI-powered due diligence platform that automates data extraction and analysis from virtual data rooms for private equity investors. The company raised over $5 million in seed funding from investors including Sorenson Capital and General Catalyst, and is already deployed with PE funds representing $1.4 trillion in assets under management.

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Founded in 2024 and based in New York, the company targets workflow bottlenecks in buy-side due diligence. Founded : 2024 YC F24 HQ : New York, NY Stage : Seed-stage with early commercial traction Core Focus : Deterministic AI automation for private markets diligence Core Data Grid | Funding Round | Lead Investors / Notable Backers | Total Raised approx. | HQ Location | Industry Sector | Estimated Team Size | Key Partners / Validation | |---|---|---|---|---|---|---| | Seed 2025 | Sorenson Capital lead ; General Catalyst, Y Combinator, ERA, Tiferes Ventures, Dunamu & Partners, Palm Drive Capital; angels incl. Kaz Nejatian Shopify COO , Philip Rathle Neo4j CTO , Clark Valberg ex-InVision CEO , PE practitioners | $5M+ Seed rounds, 2024–2025 | New York, NY | AI Software / Private Markets Technology / Fintech | 11–50 expanding post-seed | SOC II Type 2 certified; zero data retention, no training on customer files; end-to-end encryption; deployed with PE funds representing $1.4T+ AUM; testimonials from $5B–$45B+ AUM funds | Keye Leadership & Structural Breakdown Key Leadership : Rohan Parikh, CFA https://www.linkedin.com/in/parikhrohan – Co-Founder & CEO. 6+ years front-office investment banking IB/Global Markets ; promoted to Director with 7x deal flow/revenue growth. Prior Accenture consulting and S&P credit roles. Wharton MBA + Master’s in Financial Engineering. Conor Brown https://www.linkedin.com/in/conor-brown-9a02849b/ – Co-Founder & COO. Previously co-founded SecureFlow M&A funds flow and deal insights platform . Wharton MBA. Combined founder experience spans due diligence and transactions exceeding $20B at Vista Equity Partners PE , Goldman Sachs, and Natixis. Lalit Lal https://www.linkedin.com/in/lalitlal/ – Co-Founder & CTO. 7+ years leading engineering teams at AI companies ads, robotics, pharma ; multiple prior ventures achieved PE exits. Focus on production-grade SaaS AI systems. Primary Competitors : AlphaSense /directory/alpha-sense AI market intelligence and research platform for investors , Hebbia /directory/hebbia AI workspace for complex document analysis and financial workflows , Luminance /directory/luminance AI for legal/contract review and diligence documentation . Core Use Cases & Market Problem : - PE teams conducting financial and operational due diligence on acquisition targets. - Automating data extraction, cleaning, cohort/retention analysis, margin/compression identification, anomaly flagging, and custom modeling from messy, unstructured files. - Producing traceable, Excel-exportable, IC-ready outputs that reduce manual effort while maintaining audit-grade transparency. Plain English Explanation Keye applies specialized AI to private equity deal data, automatically performing the quantitative heavy lifting—building retention cohorts, running calculations, detecting trends and anomalies, and synthesizing insights—that analysts traditionally complete manually in spreadsheets, while preserving full source traceability and eliminating calculation errors or hallucinations. Target Customers & Adoption Context Primary buyers and users are due diligence teams associates to partners at private equity funds. It removes the central friction of capacity-constrained, inconsistent manual synthesis from high-volume, disorganized data rooms, allowing teams to rigorously evaluate more deals without proportional increases in headcount or quality degradation. Early adoption includes mid-market to large funds. Capital & Traction Signals Closed $5M Seed in 2025 led by Sorenson Capital with participation from General Catalyst, Y Combinator, and strategic angels tech operators + PE users . Platform shows commercial traction through adoption by funds with $1.4T+ aggregate AUM, generation of 1M+ analyses monthly, and reported multi-day time savings per deal. Post-raise activity centers on engineering expansion and BD/sales hiring. Enterprise-grade security posture SOC II Type 2, zero-retention architecture functions as a key validator for institutional PE buyers. Investor Lens In the current 2026 private markets environment of selective deployment, elevated entry scrutiny, and LP demands for operational efficiency and alpha, tools that compress diligence timelines while delivering consistent, auditable outputs represent practical infrastructure for higher-velocity capital deployment. Validation signals are material: backing from General Catalyst and Sorenson Capital, YC pedigree, and direct usage/investment by PE practitioners among angels confirm domain authenticity and product-market fit. The team’s combination of front-line IB/PE operational experience Vista, Goldman and AI engineering execution from exited companies de-risks delivery in an accuracy-critical vertical. Momentum factors include quantified user outcomes deal throughput gains and visible post-seed hiring velocity, aligned with financial services AI productivity tailwinds. Watchpoints include execution risk in long-cycle, relationship-driven PE enterprise sales and the need for sustained differentiation versus general AI research platforms expanding into workflow layers. Public signals indicate focused defensibility through workflow-specific deterministic automation and a security model tailored to sensitive institutional data. Last Updated : June 2026 Sources : - https://www.keye.co/ - https://www.ycombinator.com/companies/keye - https://fintech.global/2025/07/29/private-equity-ai-platform-keye-emerges-with-5m-seed-round/ - https://www.linkedin.com/company/keye - https://www.crunchbase.com/organization/keye - Public funding aggregates and customer metrics reported on company channels