Perceptron ML launch: what they're building and where to launch next
FoxPlug writes launch posts from what a startup ships and matches it to the launch communities that fit it. This page shows what Perceptron ML is building and where it could launch next; if it is your startup, start free below.
What they're building
We make law firms AI-native.
Batch
Y Combinator Summer 2026
Industry
B2B
Team size
2
Based
San Francisco, CA, USA
Founders
- Michael Marcotte · Founder/CEO
- Peyton Marcotte · Founder/CTO
Perceptron ML on the record
What they shipped
- From its YC profile: We build AI systems for law firms, trained on each firm's own matters and deployed privately in their environment: timekeeping, intake and matter monitoring, research, discovery, and drafting. Our grounding engine verifies every fact against a primary source before a model can cite it, which is why firms trust us with work that off-the-shelf legal AI keeps getting wrong. (source)
- Its own site describes it as: "AI software built for law firms. We design and build bespoke systems, trained on your matters, deployed in your environment, grounded in verified sources." (source)
Who is behind it
- Michael Marcotte, Founder/CEO: Founder at Perceptron ML (YC S26). Previously AI Research at NVIDIA, where he built production AI agents for hardware debugging and formal verification. Holds BS in Mathematics and MS in Computer Science from Stanford. (source)
- Peyton Marcotte, Founder/CTO: Founder at Perceptron ML (YC S26). Previously founded PMARC, developing astronaut exercise equipment for long-duration spaceflight (supported by NASA, Brown University, and 1517 Fund grants). Studying Mechanical Engineering at Brown. (source)
Timeline
- 2026: founded, per its YC profile. (source)
Other B2B software launches on FoxPlug
Where else to launch Perceptron ML
- Product Hunt ↗
- Indie Hackers Forum ↗Audience: IndieHackers; bootstrapped solo founders sharing revenue and behind-the-scenes
- Hacker News (Show HN) ↗Audience: Hacker News readers; engineers, technical founders, infra-curious people
- Demand Curve ↗Audience: Slack community; tight-knit, pseudo-private peer group
- No Code Founders ↗Audience: Slack community; tight-knit, pseudo-private peer group
- OnlineGeniuses ↗Audience: Slack community; tight-knit, pseudo-private peer group
- Product Makers ↗Audience: Slack community; tight-knit, pseudo-private peer group
- ProductLed ↗Audience: Slack community; tight-knit, pseudo-private peer group
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