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Why Quiet Intelligence exists

Early-stage investors take the first risk in a company’s life, usually on the thinnest staff in finance. The tools built to organize serious work reached large corporations first, then law and accounting firms. The early-stage investor was left with point tools, shared drives and memory.

Quiet Intelligence was founded to give that investor the record behind every decision, and the intelligence to use it.

Who is building it

Quiet Intelligence was founded by Michael F. Doyle, who brings experience on both sides of the table: nineteen years as president of an early-stage investment practice, responsible for the day-to-day work end to end, from sourcing and diligence through governance and reporting, after a career leading operating companies through growth and exit.

Quiet Intelligence was founded by Michael F. Doyle, who brings experience on both sides of the table: nineteen years running an early-stage investment practice end to end, from sourcing and diligence through governance and reporting, after a career leading operating companies through growth and exit.

Quiet Intelligence

Founder and CEO

Goldin Ventures
2007–2025

President. An early-stage investment practice.

Eastern Research
1997–2006

Chief Executive. Grew from $3 million to $65 million and from 28 to 275 people, through to its sale to Sycamore Networks.

Teleos Communications / Madge Networks
1992–1997

VP Sales and Marketing. Grew from $5 million to $25 million, through to a significant exit.

Finance is led by Nathan Eckhart, fractional CFO, formerly chief financial officer of Martin Guitars for fifteen years.

QI’s research partnership with Carnegie Mellon University’s Swartz Center for Entrepreneurship is described on the

Research page

Build the record behind every investment decision.

We are a small team building an AI-native product for early-stage investors, with a research partnership at Carnegie Mellon. If you want to work on hard problems in reasoning over messy, real-world evidence, and see your work used by the people it was built for, we would like to hear from you.

Founding engineer

Full time · remote

Lead product development for the company, reporting to the CEO. Work directly with customers on sales and deployment, and oversee the parallel research effort with our Carnegie Mellon capstone team. Two or more years of product development, strong computer science fundamentals, and hands-on experience with AI, machine learning or agentic systems.

Founding engineer

Part time, about 20 hours a week · remote

Build and ship on the live product with our first customers, starting now and alongside the full-time search. Reports to the CEO. Product development experience, strong computer science fundamentals, and hands-on work with AI or agentic systems.

To apply, write to mike@quietintelligence.ai

Hunt the company. Not the file.

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Quiet Intelligence

The record behind every investment decision. Intelligence pointed at it.

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The Invisible Layer
mike@quietintelligence.ai