Standard AI is incredible at summarizing the past. But what if you need to make a $400 million investment decision about the future?
High-stakes, low-frequency strategic decisions — like private equity buyouts, corporate M&A, or entering a new market — cannot be made just by chatting with a PDF or summarizing public data. You need proprietary insights. You need to talk to industry insiders, understand actual market sentiment, and gather intelligence that isn’t available on a Google search. Traditionally, this requires hiring an army of consultants for a massive, months-long research project.
Bridgetown Research is building the AI that actually does the deep digging.
Founded by Harsh Sahai — who perfectly bridges this problem space as a former Amazon machine learning scientist turned McKinsey consultant — Bridgetown is an AI-powered decision science platform for enterprises.
The real moat here is how they source data. Their autonomous AI agents actually conduct primary research. They deploy sophisticated, voice-activated AI bots to interview industry experts, gather firsthand qualitative knowledge, and instantly synthesize it alongside traditional secondary data.
Instead of just repackaging what is already public, Bridgetown generates net-new, auditable insights that help investment committees build real conviction.
The market? Tier-1 private equity firms, venture capital, and corporate strategy teams who want to front-load granular commercial due diligence at a fraction of the time and cost.
Harsh and his team are proving that the next frontier of enterprise AI isn’t just generating text — it is generating actual strategic advantage.
It is incredible to see founders building solutions for the most complex, high-stakes workflows in the global economy.
Let’s celebrate the builders.
w/ Jay Ingle & Dikshant Joshi
#EnterpriseAI #DecisionScience #AIBoomiAnnual26
