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K4M2 AI

Agents can analyze. They cannot yet judge.

We design and build agent systems around that difference: analysis at machine scale, your organisation's criteria made explicit, and commitment kept with your people.

The Value Layer · Whitepaper · August 2026

One layer of the organisation decides what matters. It is the layer AI occupies least.

Every deciding system separates into layers: sensing, analysis, valuation, memory, commitment. Today's agents are superb at analysis and weakest at valuation — the layer management depends on most. Our whitepaper sets out why that is an architecture problem, not an intelligence problem, and four principles for building around it.

SensingAnalysisValuationMemoryCommitment
Download the whitepaper

Everyone can buy the models. Nobody can buy your judgment.

How we work, in three moves

The work starts by writing down how your organisation judges — an explicit, versioned rubric the agent works from — then building the system that carries it. People with real sector knowledge sit next to engineers who take a problem from first sketch to live system.

01weeks 1–2

Find

where AI actually pays

We hunt for the work where AI actually pays: the places your own data and hard-won know-how give you an edge nobody can buy.

Opportunity map
Scored shortlist
Two-week spike
02weeks 3–12

Ship

inside your stack

Our engineers work inside your organisation, against your real stack and its real limits, and stay on it until it's running for users.

Embedded pod
Scored evaluation
Production release
03ongoing

Adopt

so it survives us

We rework how people and agents split the load, make the first wins visible, and grow the internal advocates who keep it alive.

Workflow redesign
Internal owners
Handover

The end state is the same every time: running in production, owned by your team.

We build systems that embed into your existing workflows and improve as your team uses them: identifying valuable AI opportunities, building production-ready systems, evaluating their performance, and integrating them into day-to-day operations.

See the code

Models change. Your system should not have to.

We build on whichever model clears the bar for your job, frontier or open-weight, hosted by an approved provider or running on your own infrastructure, depending on your security, operational and cost requirements. We help you choose, build and govern AI systems that create measurable value without locking you into a single model or provider. We work with companies globally.

Models and providers we build on

These are the models we evaluate and deploy for clients. We are not a reseller and hold no partner or affiliate status with these companies.

Anthropic
OpenAI
Google Gemini
Moonshot AI
Frontier APIsOpen weightsOpen source stackSelf-hosted