Change the model, the tools, the products. Even us. The only lock-in is the growth.

The AI future for profitable, compliant companies

Scale with AI faster, safer and with more control than any other platform. A digital workforce on hardware you own: your team, running your company. Not one you rent for as long as someone else keeps it available.

1,000+agents deployed1 billion+actions a day1,000+skills1 million+APIs20,000+MCP servers90 daysguaranteed results1,000+agents deployed1 billion+actions a day1,000+skills1 million+APIs20,000+MCP servers90 daysguaranteed results
Sound familiar?

What we hear in the first meeting

Our marketing AI is separate from our sales AI, which is separate from our finance AI. They don’t just sit apart. They’re built by competitors.
One operating layer. Every agent, every department, one registry, one memory, one bill.
We bought a SaaS AI in Q1, built on GPT-4. It already feels out of date, but we’ve put so much time into it that nobody wants to say so.
Architect swaps the model underneath without touching the work on top. The time you invested stays invested.
Our token bill has nothing to do with our outcomes. Every month we spend more on cloud compute and we still can’t point to the value.
Hardware you own, a flat banded licence, and a trace for every action with its cost and its owner.
We’re all in on one vendor’s path. When I hear they might drop the product we have millions in, I worry. We built the car on their chassis, and now the chassis might change, with better ones already on the market.
With Adam AI the chassis is yours. Change the model, the tools, the cloud, even us. The only lock-in is the growth.
We told everyone not to share data with AI. A recent audit showed over 80% of staff in breach of our own policy, including most of the board. Short of blocking the internet, we can’t see how to stop it.
You can’t. Give people a better, safer way or they will make their own. Private AI on your hardware, and Wingman shows you what is already being pasted where.
A team of consultants sat with us for months and we still have agents and workflows that don’t work well. Nobody here knows the end-to-end process in enough detail to replicate it, let alone improve it. “We’ve always done it that way.”
Consulting remains an important step. Platform learning fills the gaps people leave out. Wingman watches how the work is really done, and we optimise for the best agreed outcome rather than automating what you do by hand.
“Yes sir, no sir, three bags full sir.” AI can be very literal, and very few people get consistently great results from prompts. Every agentic developer on the public cloud has a cost or risk horror story.
AI delivers what you ask for, not necessarily what you need. Our guard-railed delivery starts at the outcome and reverse-engineers back to where you are now. If the work drifts off track, we know, and we steer it back to the outcome.
Outcomes

Solving the problems that move the business

Every other agentic platform asks you to trade data sovereignty, or accept vendor lock-in, for the tooling. We built Adam AI so you never have to choose.

Architect

Change the model, the tools, the products. Even us.

Architect is the module that designs and rebuilds your stack. Swap a model when a better one ships. Swap a tool when a cheaper one appears. Swap a product, a cloud, or the people who run it, with ease, and keep developing at speed, free from the fear of having chosen the wrong tooling or the wrong path.

Our only lock-in is the staggering growth, revenue and time your team gains.

ModelsOpen models on your box today, a frontier model as orchestrator tomorrow, per agent, per task.
Tools and products1 million+ APIs and 20,000+ MCP servers behind one broker. Replace any of them without touching the agents.
InfrastructureA box in your office, or your own Azure, AWS or Google tenancy. Same containers, same control plane.
UsThe second brain is plain data in a graph you own. Everything you built stays if you walk away.
Blast radius

30 systems. 6 AI tools. 180 ways in.

An average enterprise runs more than 30 systems. Connect six AI tools and you have created 180 risk points, and most of those tools then delegate to agents they spawn with the highest level of access they were given. Nobody can tell you where the threshold is. It could be thousands of agents with full access to everything.

That blast radius gives CISOs and DPOs palpitations, while the pressure from the board to adopt AI only grows.

The standard approach180+standing connections, each a way in
  • Agents inherit the full access of whoever connected them
  • Tools spawn sub-agents you never see
  • No single place to count them, stop them or read what they did
Adam AI1checkpoint every action passes
  • Sandboxed agents, session-based access at the lowest level the task needs
  • No agent ever holds full access to your systems. Ever.
  • Every agent in the Registry, every action audited to an owner, a stop button on each

The AI your business needs, without the data and risk compromises.

Platform

The private operating layer for the AI-native company

ArchitectAgent RegistryIdentityBudgetsGuardrailsEvalsSkillsBrokerWingmanMy BuildsKnowledgeTracesHarness Lab

Every agent holds one position with bounded access. Every action passes one checkpoint: identity, policy, budget, then traced to an owner. Included in the licence, not sold as a second product.

Explore the platform

Forward-deployed engineers, in your building.

Readiness in a week, first agent running at the end of it, a named engineer for the first 90 days. It works or you don’t pay.

See the approach

Strategy that starts with the basics.

AI at speed amplifies whatever is loose. We map how your business actually runs, fix the controls, then build.

See the plans
Industries

Deep in regulated, mission-critical British industries

Financial services

Compliance-grade agents for finance, lending and advice, on hardware the firm owns.

Talk to us

Manufacturing

From order to despatch, agents that chase, reconcile and schedule across the shop floor systems.

Talk to us

Professional services

Accountants, solicitors and consultancies: billable hours back, client data never leaving the building.

Talk to us

Agri-science

Research and field data, lab workflows and grant reporting, run privately on site.

Talk to us

Logistics

Jobs, routes and proof of delivery handled by positional agents, with the depot in control.

Talk to us

Managed IT

Made by MSPs, for MSPs: a platform your engineers can deliver with recurring revenue behind it.

Talk to us
Don’t buy what they sell. Do what they do.

There is no cake tomorrow.

The companies selling you AI did not get their results from a licence and a lunch-and-learn. They rebuilt how they work around it, with engineers in the building, over months. The “roll it out and see what sticks” approach is not a viable route to real traction, and it is why most AI projects deliver so little of it.

Truly enabling AI in your business is not a quick fix. It takes a significant investment of time and money. The rewards are transformational.

Engineers in the buildingForward-deployed, outcome by outcome, not a portal login and a webinar.
Rebuild around the outcomeWe optimise for the best agreed outcome and reverse-engineer to where you are now, rather than automating what you do by hand.
Own the stackYour hardware, your data, your models, your builds. The investment compounds because it stays yours.
Measure traction, not activityToken spend tied to outcomes, builds gated by reviewed results, drift caught before the business feels it.
Why own it

Don’t rent intelligence. Own it.

Your hardware

A box in your office or private GPU in your own Azure, AWS or Google tenancy. Nothing phones home.

No master agent

Positional agents, one role each, bounded access. A compromised agent cannot reach what it was never given.

Designed for GDPR

UK data residency by default, retention under your control, a trace for every action an auditor can read.

Portable second brain

What your agents learn is plain data in a graph you own. Move models, boxes or clouds; keep everything.

Company

Born inside an IT services business. Soon, just another customer.

Adam AI was developed inside an IT services business that could not buy what its clients needed: nothing on the market was client-centric or acting in the client’s best interests. Every option was a huge compromise, so the thing we wished we could buy got built. That business, Total Group, will shortly become just another Adam AI customer.

Already running in agri-science, finance and consumer brands.

Case studies

Transform how your company works, without handing it to someone else.

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