Keye

The Smartest Private Equity Investor

Y CombinatorFall 2024ActiveFintechArtificial IntelligenceFinanceInvestingEnterprise Software

What they do

Problem

Private equity firms spend weeks and miss key insights when performing acquisition due diligence, limiting how many deals they can evaluate and increasing risk of poor investment decisions.

Solution

An AI due diligence platform that ingests raw data room files in any format and instantly generates comprehensive investment-grade analysis packs (e.g., cohorts, retention, roll-forwards).

Who it's for

Private equity investment teams evaluating acquisition targets use it for faster, more accurate due diligence.

Founders

Rohan Parikh

Founder

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 Brown

Founder

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 Lal

Cofounder, CTO

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 (University of Waterloo) and Machine Learning (University of Toronto).