Connect your sources
Nothing to reorganise
Keep your existing folders, inboxes, repos, and permissions. Find and Seek understands 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.
What it is
Your organisation has no brain. This is the organ.
Decades of work sit across shared drives, inboxes, repos and media archives, and nothing in the building has ever read it. So staff dig for hours, and every agent you deploy starts from raw files and re-reads them on each step — metered, on your invoice. Find and Seek understands that record once and keeps it, cited, in your private index — and plugs straight into the AI tools 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.
Keep it in the building
The memory is yours
Your AI decides what to ask; the memory it asks sits in your private index, never training any vendor’s model. Running the analysis there too — saved, repeatable, reviewed — is built and gated behind an experimental flag.
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 open the drawers you’re allowed in. Find and Seek is that one point of contact for the whole organisation: separate permission groups for departments, matters, or clients, checked before anything reaches a person or an agent. Those walls are drawn per group today; per-person sign-in sits on top of them and is on the roadmap for multi-user setups.
Less leaves the building
Send far less to the model.
Every token your agent doesn’t re-send is company content that never leaves for the model provider. Find and Seek hands your agent the passage and its source instead of the whole file — so far less of your material is exposed to get the same answer. The catalogue and approved analysis stay isolated in your private workspace.
Deployment
On your network.
Self-Serve
Flow & Deep Dive
Instant setup for individuals and small teams (A$24.97–A$49.97/mo). Upload files and start querying in seconds.
Command
Dedicated Setup
Dedicated workspace (A$119.97/mo). Isolated database, zero data retention, full privacy compliance.
Enterprise
Custom & Multi-Team
Department isolation, custom retention policies, and dedicated engineering onboarding.
Where it’s up to
What’s shipped, and what isn’t.
Early beta, and we would rather be precise about the boundary than let a diligence process discover it. Nothing below is aspirational — it is the current state of the build.
shipped
The memory
Ingest across documents, email, code, spreadsheets, images, video and transcripts. Ranked cited retrieval, org-wide literal search, campus isolation, and the refusal layer — driven over MCP, not just in-process.
behind a flag
The execution tier
Saved analyses, governed runs, approvals and a run trail are built, and gated until they survive the same adversarial driving the retrieval surface went through. We would rather say that than imply you can buy it today.
not built
Per-person identity
Walls are drawn per department, matter or client today, and checked before anything reaches an agent. The layer that maps an individual employee to a principal is on the roadmap, not in the product.
The bounded default applies when agents use Find and Seek to answer questions about connected company files — not to general chat that never touches them. Counting is the known exception: ask how many of something exists across the organisation and plain grep still wins, unless the agent picks the count mode we ship.
Next step
Talk about a deployment.
Early conversations welcome while we finish hardware mapping, scale, and release packaging.