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FoundersFounders
2885

Michael Marcotte

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Michael Marcotte
CEO & Co-Founder of
Perceptron ML (2011)
About

Michael Marcotte is Co-Founder of Perceptron ML (YC S26), an event-driven AI engine that turns real-world signals into automated action for businesses that win by moving first.

Before founding

Michael studied at Stanford University, where he received a VPUE Grant for Undergraduate Research, and co-founded Perceptron ML alongside his brother Peyton Marcotte.

Founder Insights

Michael is passionate about democratizing AI research and building systems that bridge the gap between real-world events and intelligent, immediate response.

Experience

Perceptron ML was accepted into Y Combinator's Summer 2026 batch, validating its event-driven AI platform that serves law firms, investors, construction teams, and trading desks.

Scale & Impact

Perceptron ML's engine enables businesses to detect signals and launch responses in minutes, with early use cases including law firms launching legal matters the moment a data breach surfaces and trading desks acting on filings in real time.

2885

Michael Marcotte

Perceptron ML
Co-Founder
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Michael Marcotte

Company(s)

Perceptron ML

Industry

SaaS

Stage/Funding

Seed

Company Location

us

Connect

About

Michael Marcotte is Co-Founder of Perceptron ML (YC S26), an event-driven AI engine that turns real-world signals into automated action for businesses that win by moving first.

Before founding

Michael studied at Stanford University, where he received a VPUE Grant for Undergraduate Research, and co-founded Perceptron ML alongside his brother Peyton Marcotte.

Founder Insights

Michael is passionate about democratizing AI research and building systems that bridge the gap between real-world events and intelligent, immediate response.

Experience

Perceptron ML was accepted into Y Combinator's Summer 2026 batch, validating its event-driven AI platform that serves law firms, investors, construction teams, and trading desks.

Scale & Impact

Perceptron ML's engine enables businesses to detect signals and launch responses in minutes, with early use cases including law firms launching legal matters the moment a data breach surfaces and trading desks acting on filings in real time.

About

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