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Applied AI for the companies that run the economy

From pilot to enduring platform.

Production systems
140+
Production systems
Pilots reach production
92%
Pilots reach production
Business systems connected
30+
Business systems connected

Our values

What we believe.

Six values decide who we hire, what we build and how we make the hard calls.

  • Be bold

    We go after the work that changes how a business runs, not the safe demo. The biggest problems are where AI earns its keep.

  • Take relentless action

    We put something real in people's hands early, learn from it and keep shipping. Momentum beats a perfect plan.

  • Obsess over customers

    We start from how our clients' teams actually work, and we judge ourselves by their results, not our output.

  • Play to win

    We hold ourselves to the result the business needs. Good enough is not the finish line when great is within reach.

  • Be curious

    AI moves fast. We test new models and methods first-hand, and we ask why a process exists before we change it.

  • Do the right thing

    Permissions, audit trails and people in the loop come built in, and we tell clients the truth even when it is unwelcome.

What we take on

Work where the process is the advantage.

We do our best work on high-volume, document-heavy operations with a clear owner and a number to move.

We say yes to

  • A workflow with an owner

    Someone in the business runs it, has a target for it, and will be involved every week. Their name goes on the project before ours does.

  • A measurable baseline

    We can time the current process and agree what better looks like. If nobody has measured it, measuring it is where we start.

  • Regulated, high-stakes work

    Claims, authorizations, compliance reviews. Places where an audit trail is required and getting it right is worth paying for.

  • Teams who want to own it

    Clients who put their own engineers and operators on the project, and plan to run the system themselves.

What we turn down

Projects we have learned to decline.

Saying no early is cheaper for everyone. These are the briefs we send back, and why.

We say no to

  • Strategy with no build

    A deck that recommends forty use cases and ships none. If we scope it, we expect to be held to delivering it.

  • A chatbot looking for a problem

    A mandate to use AI somewhere, with no workflow, owner or metric attached. We will help find the problem first, or step aside.

  • Removing people from judgment calls

    Fully automated decisions about someone's health, money or job, with no human review. We build the assistant, and keep the person.

  • Pilots built to be shown

    Demos with no path to production data, security review or budget. They cost trust the next real project will need.

Model agnostic. Built on the platforms you already run.

  • OpenAI
  • Anthropic
  • Google Gemini
  • Meta
  • Mistral AI
  • Microsoft Azure
  • AWS
  • Google Cloud
  • Snowflake
  • Databricks

Security & trust

Security designed in from the first workflow.

Before anything is built, you sign off what the system can read, write and send, and who can change it.

  • Your data stays in your systems.

    We work inside the tools you run and move the minimum the task needs.

  • Access is the narrowest that works.

    In your accounts, with named people and credentials kept in a secret store.

  • A person signs off what matters.

    Decisions with consequences stay with a named owner on your team.

  • Every run is logged.

    Inputs, decisions and outputs are recorded, so any result can be traced.

How we handle security

Bring us the workflow nobody has been able to fix.

Start with a short call about where your team's hours go and what you want to change.

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