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Sentient OS

Sentient OS is a YC Fall 2026 (F26) company. Based in San Francisco, CA, USA. Team of 2.

  • Artificial Intelligence
  • Productivity
  • AI

About Sentient OS

GPAgent's own fund-neutral profile, written from public information. Updated Sep 26, 2026.

Summary

Sentient OS builds an on-device AI agent for Mac that reads a user's emails, messages, files, and meeting transcripts overnight, builds a local knowledge base, and prepares completed work, drafted replies, flagged renewals, promised reports, ready to send with one click. A second mode, Sidekick, takes over the active task on screen via computer use while the user moves on. All inference runs locally on Apple silicon using a custom LiteRT-LM stack, so no user data touches Sentient's servers.

Business model

Free and open source for consumers; an enterprise tier covering workplace tools such as Slack, Linear, and Notion is the paid business.

Go-to-market

Individual Mac users download directly or via Homebrew with no sales motion; enterprise buyers on the work-tool stack are the commercial target.

From the Y Combinator listing

How Sentient OS describes itself in Y Combinator's public directory.

On-device AI that knows your entire life and does your work overnight.

Nobody's built truly proactive AI, because it requires running inference on your entire life. In the cloud, that's insanely expensive and a privacy nightmare. But not on your own chip. Every night, Sentient's on-device LLM wakes your Mac and understands what's new in your life (email, messages, files, Granola transcripts...), entirely locally, and distills it into a knowledge base. You wake up to your work already prepared: the reply you forgot, drafted from your own context; the subscription you never use renewing tomorrow, caught; the report you promised in the group chat, ready to send. Everything is one click from firing through computer use, and nothing fires until you click. Or click your Mac notch anytime and say "finish this for me." Sidekick takes over the thing you were doing with its own cursor while you move on. On-device inference at this scale was supposed to be impossible: devices too slow, and models too dumb. So we built the stack ourselves: a custom LiteRT-LM fork (KV-cache reuse, speculative decoding, custom k-quants) that runs nightly on 8 GB Macs. The user's hardware does ~90% of the compute, and their own ChatGPT or Claude subscription does the rest, so our marginal cost is ~$0, and our servers store nothing. Our alpha soft-launch was top post of the month on r/macapps (688 upvotes), and we launched to 4000+ users in our first week with $0 marketing. We're free and open source for consumers; the same engine on the work stack (Slack, Granola, Linear, Notion) is the enterprise business. Sentient OS raised ~$1M in pre-seed, backed by YC, Afore, and the a16z Speedrun scout fund.

Facts

Industry
B2B / B2B -> Productivity
Location
San Francisco, CA, USA
Team size
2
Status
Active
Stage
Early

Founders (2)

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