AI powered solutions for your most expensive problems.

Your operation makes thousands of decisions a day. Most are invisible to your systems. Money slips through and your results suffer.

Expensive problems require reasoning across fragmented systems and people.

Standard AI tools miss the tribal knowledge and context your company is built on.

Found AI captures that data, building a Context Engine that powers AI driven decisions and outcomes for your business.

Most AI systems are built for digitally native companies and don’t contemplate the complex operations of your organization.Found does.

  • 2.1x

    More Accurate

    Fewer fabricated answers. Every claim resolves to a specific row or clause, so there's nothing left for the model to guess at.

  • 100%

    Auditable

    Decisions are recorded as structure, not conversation. Asking again reads the record instead of re-deriving the answer, so it survives model and index changes.

  • 9.8x

    Cheaper

    The engine keeps what it already established. Ongoing interactions don't pay to read the whole corpus again.

  • 92%

    More Secure

    Entitlement is checked at the field, before anything leaves the engine. The model sees what the person asking is cleared for, not the document that happened to contain it.

  • 8.2x

    Faster

    The relationships are resolved before the question arrives, so the answer comes back with its source attached without having to spend the time to retrieve it.

How we get there together

Through a risk-free bootcamp, we build your Context Engineand deploy your first solution alongside your team. You're in the room for every phase, and what gets built is yours.

A transportation system mid-capture: the recorder pill running in the window's title bar, numbered marks on the steps already captured, and the Lane 7 rate confirmation outlined as the row being watched.A transportation system mid-capture: the recorder pill running in the window's title bar, numbered marks on the steps already captured, and the Lane 7 rate confirmation outlined as the row being watched.
A captured workflow as a timeline: a rate confirmation landing by email, terms re-keyed into the TMS by hand, detention hours logged in a spreadsheet, a billback approval waiting in Slack, and the invoice going out with the carveout missed.A captured workflow as a timeline: a rate confirmation landing by email, terms re-keyed into the TMS by hand, detention hours logged in a spreadsheet, a billback approval waiting in Slack, and the invoice going out with the carveout missed.
The same workflow as a typed ontology map: carrier, lane, rate confirmation, carveout clause, detention hours, billback approval and invoice as typed nodes, with the missed billback surfaced as a leak.The same workflow as a typed ontology map: carrier, lane, rate confirmation, carveout clause, detention hours, billback approval and invoice as typed nodes, with the missed billback surfaced as a leak.

01 · Capture

We map your most painful workflows exactly as they run today.

A workflow mid-diagnosis: the Capture-to-Deployed status track with Diagnosing active, a plain-language account of what's being analysed and what's slipping while it runs, and projected value, cost and estimated ROI beneath.A workflow mid-diagnosis: the Capture-to-Deployed status track with Diagnosing active, a plain-language account of what's being analysed and what's slipping while it runs, and projected value, cost and estimated ROI beneath.

02 · Diagnose

We back-test your own history and size the leakage in dollars.

The workflow board: proposed, building, testing and ready-to-deploy columns, each holding named workflows with the analysts, insights and blockers against them.The workflow board: proposed, building, testing and ready-to-deploy columns, each holding named workflows with the analysts, insights and blockers against them.

03 · Deploy

We turn those findings into production ready workflows and deploy inside your existing processes.

Two findings with reactions against them — one approved with a thumbs up, one kicked off — and the signals from both flowing into the Context Engine, which counts the week's signals and shows what each one changed.Two findings with reactions against them — one approved with a thumbs up, one kicked off — and the signals from both flowing into the Context Engine, which counts the week's signals and shows what each one changed.

04 · Compound

Every decision sharpens the engine. The asset stays yours.

Real outcomes. Real industries.

Start with one workflow. See what it's costing you.