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Company

The AI transformation partner for people decisions.

The biggest calls in a company are about people, and most run on gut feeling. We bring agentic AI into how you hire, develop, and move people. You make the call, with evidence on your side.

What we believe

The most important calls a company makes deserve evidence, not gut feeling.

Who to hire. Who to promote. Who to put on the project that cannot fail. Who to let go. These are the highest-stakes decisions a company makes, and most come down to a hunch and a CV. You would never run finance this way. We bring agentic AI into the work so you can make these calls with evidence and objectivity. You keep the call. We remove the guesswork.

  • You keep the decision.

    We do not decide for you. We give you the data and the objectivity to make the call with confidence, instead of a hunch.

  • Evidence, not a guess.

    Every evaluation is grounded in verified skills, with the reasoning attached. Deterministic, traceable, explainable. Never a black box.

  • Built for the hard calls.

    Hiring, mobility, workforce shifts. The judgment work that is high-stakes and hard to defend. That is the work we built the engine for.

  1. The engine

    Skills + Market

  2. A playbook

    Run on real work

  3. The decision

    Evidence-backed

4–0 weeks
a pilot, agents running with you
Both
the engine and the build
ECHT
co-built, live in production
You decide
we remove the guesswork

Where this is going

The transformation lands today. The engine only gets sharper.

Every project sharpens the engine and adds a playbook. The more we run, the faster and sharper your next decision, with the evidence behind every call.

Next

Next

More of it runs through playbooks.

As the engine sharpens, more of the work runs through click-and-go playbooks inside the tools you already use. The evidence reaches more teams, faster. You still keep every call.

Playbooks across your stack. The same engine underneath.

Today

Today

We bring the AI in, hands-on.

We go into your organization, map your stack and people process, and build the agents that make the work faster and sharper. Every engagement adds a playbook and proves the model on real decisions.

A pilot in 4–8 weeks, agents running on our core.

Reveal Next versus Today

Why us

The engine and the build, in one partner.

CapabilityConsultanciesAI toolsEverday
Brings AI into your process, not a tool to operateYesNoYes
Built on an AI engine, not pre-AI processNoYesYes
Understands verified skills + the labour marketNoNoYes
Defends a shortlist with the evidence attachedManualNoYes
Leaves the agents running in your stackNoNoYes
We prove it the only way that counts: bringing the engine into real work, with named partners, on decisions that matter today.

Customers

Real work, with a named partner, live in production today.

ECHT

Platform partnership

ECHT

The challenge
ECHT works with people moving between roles, sectors, and stages of career. The data they hold on what people can actually do is the asset. The tools to act on it were not yet AI-native.
What we did
We co-built a skills passport and a matching platform on the core. ECHT brings the relationships and the delivery; we bring the engine and built it with them.
The outcome
A skills passport and job-matching platform, live in production, running inside the tools their team already uses. Their people make the call, with verified skills behind it.
We bring the engine into the work. The partner brings the relationships and keeps the call. The evidence runs underneath.
The Everday partner model
Deployment
Co-built on the core
Surface
Skills passport · Matching
Engine
Skills + Market Intelligence
Status
Live with named partner

The team

Lean, technical, on the work.

A small team building the engine and bringing it into real projects. Capital goes into platform engineering and into the work on the ground, not into headcount for its own sake.

  • Founding & strategy

    Operators who have made people decisions at scale, now building the engine that takes the guesswork out of them.

  • Platform engineering

    Builds the core, the Canvas, the agents, the intelligence engines, and the knowledge graph.

  • Implementation

    Runs pilots end to end. The bridge between the engine and the agents running in your tools.