Bird one · You
You remember the thing, not the filename.
Ask by clause, party, amount, date, scene, or what someone said, and get the exact page, cell or timecode. Stop scrolling through everything to find one thing.
Find and Seek
In early beta on Mac now · Windows and Linux coming soon. Stop playing hide-and-seek. Start playing Find and Seek.
Three birds. One stone.
- You find the thing in everything you’ve ever made: the exact page, cell or timecode.
- Your AI bill drops by up to 69% because it stops re-reading whole files for every answer.
- Your team and your AI agents stop forgetting: one point of reference, even after the person who knew has left.
The stone: one memory of everything you’ve ever made. Ask it anything.
“What did we agree with Acme on pricing?”
01
0.97
Acme Master Services Agreement · clause 4.2
Fees fixed at $1,850 per month for the first 12 months, then CPI-indexed at each renewal.
contracts/acme/MSA-2025-signed.pdf · page 7
02
0.91
Email · “Re: Acme pricing, final”
Sarah confirms the launch discount applies from the October invoice onward.
mail/2025-09/acme-pricing-final.eml
03
0.88
Kick-off call · the moment it was said
“We’ll hold the launch rate until renewal, then revisit together.”
calls/acme-kickoff.mp4 · 14:32
Your AI asks the same memory: same answer, up to 69% cheaper.
Now multiply by every question, every day.
Ask anything.
·
Across everything you’ve made.
·
Get the answer, not the pile.
Who it's for
It’s a Medusa problem.
Your drives, inboxes, repos, threads, recordings: a writhing nest of places the answer could be hiding. Look straight at the pile and it’s so overwhelming you freeze and leave it buried. Perseus didn’t face Medusa head-on. He used a mirror. Find and Seek is that mirror: for you first. You ask, it reflects back the one thing you need. Then your AI can ask the same way, instead of staring down the whole monster or paying to read it all.
Bird two · Your AI
Stop paying it to re-read everything.
Plugs straight into your agent harness: Claude, Copilot, Cursor or your own. It gets the exact passage instead of five PDFs dumped into context on every turn, so the same answer costs a fraction and the bill can’t spiral. On code, we benchmarked it on a repo it had never seen: the right answer, every single run — where grep wasn’t. The core engine is open on GitHub — read it, run it.
Bird three · Your team
One point of reference for everything.
Ask a question of everything the company has ever made, and get the answer you actually need. People and AI get the exact source, not the whole drive. Existing permissions still apply — and that changes what governance can do.
The memory, personified
Like an unc who’s been here the whole time.
Imagine the person who’s been in the business since day one. They know every deal, every file, every contractor who came and went. You ask, they know exactly where it is. And they only ever tell you what you’re cleared to hear. Find and Seek is that person: for you, for your team, and for every AI you connect. It answers across the entire history, and every answer stays inside the permission walls you set for each team.
Measured evidence
We didn’t believe it either. So we ran it. Again and again.
Same question. Same model. Same files. The only change: an AI re-reading whole files to find the answer versus asking Find and Seek. Ranges across 1 / 3 / 6 permission groups, never a lone unexplained percent.
41–69%
cheaper per run on the same task
27–45%
faster wall-clock, start to answer
Bounded
the bill can’t spiral, no 137k-token blow-up
69–76%
fewer input tokens, the ones you pay for
53–63%
fewer tool calls, fewer round-trips
Live Anthropic API · claude-sonnet-5 · 3 runs per task · synthetic company files. Cost and speed narrow as tasks span more teams; token reduction stays strong. Per run the dollars look small. Multiplied by every question, every person, every working day, they are the AI bill.
It’s an early beta, on purpose
The engine works. The measured savings are real. But we’re not going to dress up a half-finished retail build as a launch just because the demo looks good. So we’re opening it as an early beta instead, and being honest about what’s left.
What’s left is scale: making it run smoothly on your setup, not just the machine we tested on, and keeping it quick as your collection grows. That’s exactly what the beta is for. Mac is first in line; Windows and Linux are next.
Join the beta = get it early, and help us pressure-test scale · speed · real collections of company files.
How it works
Set it up once. Then just ask.
The hard work happens before you ever ask. Find and Seek reads everything you’ve got just once and builds the memory, then quietly keeps up as things change. After that, asking is instant: for you, and for your AI.
01
Point it at your stuff
Docs, email, code, images, video, calls. It reads and understands the lot, once. Your files stay where they are; your permissions never change.
02
Hook up your AI
One link to Claude, Copilot, Cursor, or your own agent. Every AI you connect gets the same memory of your work.
03
Just ask
In plain English. Back comes the exact line, page, cell or timecode, source attached, instead of the whole pile.
Ask it things like
- “What did we agree with Acme on pricing?”→ the exact clause, in the signed contract
- “Where’s the plumber invoice from March?”→ the file, opened to the line item
- “How did that contractor wire up the export job?”→ their commit, and the handover note they left
- “What did the client actually say on the kick-off call?”→ the moment, by timecode