Fall 2026

Sentient OS

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

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What they do

on-device AI builds personal memory from your files and drafts work overnight

How close to us

3, close

personal memory from emails and Granola feeding proactive drafts with approval; individual, not leaders' agents routing questions.

Wedges

  • W9 Ask my agent before you book my time adjacent
L1 Company brain (knows the organisation) 2, clear
L2 Agent team (runs agents, tools, approvals) 1, light
L3 Does and learns (finishes, checks, measures, updates the brain) 1, light

Who buys

Firm size
not known
Buyer type
consumer
Role
individual knowledge worker
UK
not known
Their own description (from YC)

Truly personal AI requires running inference on your life, every day. In the cloud, that’s expensive and a privacy nightmare. On your own chip, it’s free and private.

Our custom inference stack, built on a LiteRT-LM fork, runs on Macs with just 8 GB of RAM. Every night, Sentient’s on-device models process your emails, messages, Granola transcripts, files, and more, building a rich personal knowledge base on your Mac.

Your projects, conversations, commitments, and preferences. Context you’d never have the time to type into a chatbot.

That understanding powers three ways to get work done:

Sidekick: click your Mac’s notch and say “finish this for me.” It already has your context and gets to work across your apps and browser with its own cursor, while you keep working.

Proactive intelligence: wake up to work already prepared. The reply you forgot, drafted. The subscription renewing tomorrow, caught. The report you promised, ready for review. Sentient waits for your approval before acting.

Double Tap: two taps, two seconds, and the reply you would have written appears, drafted from your personal context and writing style. Just review and send.

Open source and built with privacy at its core. Over 30 enterprises use Sentient already.

Our alpha reached 4,000+ users in its first week with $0 marketing. Our launch was the top post of the month on r/macapps.

We’ve raised over $1 million with participation from Y Combinator (F26), Afore, Pioneer Fund, and a16z speedrun’s scout fund.

Full teardown

No full teardown yet. On the deep list.

Technical detail
Slug
sentient-os
Lens hash
179096c479
Pass
screen
Stale
no