Keye is an AI software that lets private equity firms do due diligence for acquisitions faster and more accurately. Our customers can evaluate 10x more deals and fund better companies which leads directly to better returns/more alpha. -- Our system is the first of its kind to instantly generate complex, comprehensive data packs from raw data in any format, directly from the data room. This enables investors to gain an 80% understanding of a potential deal within moments, empowering them to say No to a deal earlier in the process and focus on high-potential opportunities. Traditionally, creating these detailed data packs—like cohort or retention analyses and customer roll-forwards—takes weeks, during which critical details may be overlooked, potentially costing funds millions in missed insights and poor decisions. -- Keye combines cutting-edge AI with deep private equity expertise to deliver powerful, multi-layered insights that go far beyond the simple summarizers and search functions offered by other tools. Our platform dives deep into both quantitative and qualitative due diligence data, offering high-impact analytics crafted specifically for private equity workflows. This isn’t just automation—it’s a purpose-built solution that uncovers actionable insights, fueling smarter decisions and driving true alpha.
Co-Founder & CEO at Keye, Rohan has over 6+ yrs in investment banking, spanning front-office roles across IB and Global Markets. Within 5 years, he was promoted to Director, where he drove a 7x increase in deal flow and revenue. Previously, he worked as a management consultant with Accenture before transitioning to Standard & Poor’s credit division in finance. Rohan holds an MBA from Wharton, complemented by a technical background with a Master's in Financial Engg. & B.Eng degree
Conor is a Co-Founder and the Chief Operating Officer of Keye. Before co-founding Keye, Conor co-founded SecureFlow, a funds flow and deal insights platform for M&A, while earning an MBA from The Wharton School. He has also held key roles as an investor at Vista Equity Partners and an investment banker at Goldman Sachs. He attended Amherst College for his BA, where he also captained the hockey team.
Lalit is a Cofounder and CTO at Keye. By trade, Lalit is a seasoned software engineer with a over 7 years in industry experience leading and building SaaS products from the ground up. Working through 2 historical SaaS acquisitions as an early engineer and leading technical teams of various sizes, Lalit is comfortable across the stack (devops, frontend, backend, and ML). He comes from a background in Robotics (Waterloo) and Machine Learning (Toronto).
Keye AI 🗝️ helps Private Equity Investors do due diligence for acquisitions more accurately and faster — in seconds rather than weeks. Unlike other tools that stop at summarizing, Keye creates all complex analyses relevant in diligence like cohort, retention, etc. It extracts critical insights from each of those analyses and assembles these insights into a holistic understanding of a business. With Keye, investors save time, make better investments, do more deals, and see superior returns.
Conor and Rohan bring a combined 14 years of experience in the industry at Vista Equity Partners (Private Equity), Goldman Sachs, and Natixis, during which they conducted due diligence and represented companies in transactions totaling over $20B. Lalit, co-founder and CTO, spent 7 years leading teams as an early engineer for three different AI companies (AI Ads, AI Robotics, AI Pharmaceuticals), two of which had private equity exits.
(First day at our Hacker House in SF for YC! Ready to shape the future of investing, one day at a time. 🚀)
Current AI tools search and summarize data but fall short of generating insights that create true alpha. So, we decided to tackle the toughest challenges in due diligence, from rigorous data cleaning and manipulation to generating complex analyses that uncover hidden insights. Our mantra: "Stop Summarizing, Start Analyzing!"
Private equity funds are struggling to find and win the right deals because due diligence is time-consuming and labor-intensive, leading to:
Instantly generate thousands of complex analyses from raw data
Extract critical insights from each analysis (trends, anomalies, narratives, etc.)
For Example: “Each successive cohort's initial average revenue per customer decreases (2008: $61.7K, 2009: $29.1K, 2010: $25.2K, 2011: $18.1K), indicating a concerning downward trend in the average value of new customers.”
Create and personalize analyses based on the fund and industry
Gain unparalleled visibility into your entire deal history and unlock the shared intelligence within.
“We recently did a deal and initially analyzed cohorts on a yearly basis, and while it looked good overall, we later found an issue in Q2 that only came up after speaking with the management team. By then, the team had invested so much time that it didn’t make sense to go back and redo everything quarterly. If I could have just clicked a button to view quarterly cohort insights upfront, it would have saved us considerable effort. I wish I’d had that button."- Managing Partner, MM HealthCare Fund
….he agreed that the button is Keye, and the fund signed up!
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🌐 Website: https://keye.co
💼 LinkedIn: https://www.linkedin.com/company/keye
✍️ Capital AI blog: https://www.keye.co/blog
🐦 X: https://x.com/keye_co