Connect your sources
Nothing to reorganise
Keep your existing folders, inboxes, repos, and permissions. Find and Seek reads what you allow so forgotten work can be found later.
Enterprise
Finally ask your whole organisation a question.
The email from eight months ago. The policy that turned into office folklore. The contractor’s handover note for the feature everyone still wants but no one can rebuild. Ask across your organisation’s entire digital history and get the exact answer — while your AI stops shovelling the whole pile into the model on every step, and off the bill.
What it is
Can’t find it → read it all → pay for it all.
When knowledge is buried, staff dig for hours and AI agents re-read whole files on every step — metered, on your invoice. It’s the same failure wearing two faces: nobody can find the thing, so everybody reads everything. Find and Seek ends the digging for both, across years of work spread over shared drives, inboxes, repos, and media archives — and plugs straight into the agent harness your teams already run.
See the source
Only the relevant part
Agents get the right passage, page, spreadsheet cell, or timecode with a source link — not a dump of the whole file.
Run it locally
Approved work only
Your AI decides what to analyse. Find and Seek runs only approved actions on your hardware, with review and sign-off where it matters.
One point of contact
Like an unc who’s been here the whole time.
Picture the person who’s been in the business since day one — knows 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 one point of contact for the whole organisation: separate permission groups for departments, matters, or clients, and every answer stays inside those walls before it reaches a person or an agent — per team today, per person with the enterprise release. What this does to governance itself →
Less leaves the building
Send at least 60% less to the model.
Every token your agent doesn’t re-send is company content that never leaves for the model provider. In our benchmarks Find and Seek cut input tokens by 69–76% — so at least 60% less of your material is exposed to get the same answer. The catalogue and approved analysis stay on hardware you control; point it at a local model and nothing leaves the building at all.
Deployment
On your network.
Mac workstations, Windows machines, or an on-prem container on your network. The early beta helps us pressure-test real corpora on real setups.
Mac
Small teams & pilots
Local search and AI connections on Apple Silicon. Performance mapping is in progress.
Windows
Power users
Local search and AI connections on Windows. The heavy reading of files, media and transcripts happens once, up front, then finding is instant.
On-prem
Enterprise
Container on your network. Data stays inside your boundary. Air-gap profiles on the enterprise path.
Evidence
Measured, not promised.
41–69%
cheaper per run on the same task
27–45%
faster wall-clock
Bounded
the bill can’t spiral
69–76%
fewer input tokens — the mechanism
1 / 3 / 6
permission groups the ranges span
Live Anthropic API, claude-sonnet-5, synthetic multi-team company files. Savings apply when agents use Find and Seek to answer questions about connected company files — not every chat. Full methodology →
Next step
Discuss a pilot.
Early conversations welcome while we finish hardware mapping, scale, and release packaging.