monō for Enterprise
Going AI-native is not a software purchase.
It’s a rewiring of how your business operates, decides and delivers. We do it with you, forward-deployed engineers, working systems, your infrastructure.
Most enterprises aren’t failing at AI because the technology doesn’t work. They’re failing because nobody is inside the business making it work.
We close that gap, not with a roadmap, with working capability.
Human to agentic
Work moves from human-run to agent-run.
Not a big-bang switch, a graduated shift, function by function, with your people supervising every step.
01
Human-run
People do the work; agents assist at the edges.
02
Human-directed
Agents do the work; your people direct and review.
03
Agent-run, supervised
Agents run the function end to end; people set the goals and hold the controls.
How it works
The physics of going AI-native.
01
Working session
We find the highest-value work in the core of your business, inside the systems you already run, not a replatforming project.
02
Forward deployment
A pod of senior monō engineers and operators embeds with your team.
03
Live in weeks
First agents in production on the monō platform, on your infrastructure, measured, every model, including open-source on your own hardware.
04
Compound
Each function added makes every other function smarter. The platform stays; the capability is yours.
Velocity
Value in weeks.
Intelligence
Decisions get smarter.
Capacity
Your team does 10x.
Experience
Work people love.
Production economics
Fine-tuned LLMs and SLMs for production workloads, performance and unit cost, on your own API keys.
One spine
Every deployment runs as a project on the platform, work items, agents and your people in one space.
Read this before you compare us
We ship product, not advice.
Not a consultancy
We ship product, not decks. The platform is the deliverable.
Not a body shop
Senior engineers and operators only, in pods, time-boxed.
Not a black box
Built on your infrastructure, your data sovereign, your team running it from day one.
Where agents land
Start with any function.
Three are productised as Collections today, live product, not slideware. The rest get built in deployment, on the same platform.
Built in deploymentEnterprise
Operations
Agents across scheduling, logistics and process, built in deployment.
Legal & Risk
Contracts, compliance and risk watched continuously, built in deployment.
People
Onboarding, knowledge and the employee surface, built in deployment.
Built for government and education too. Sovereign AI for public institutions →
Sovereignty
Your data is the moat. Ours never to touch.
Inference-only by architecture: your data never trains anyone's models, never leaves your control, never builds someone else's product.
- Your cloud or your tenancy
- Encryption in transit and at rest
- Human-in-the-loop governance
- Full audit trail and oversight
Everything your agents learn compounds into your operating intelligence, and stays inside your walls.
Read the security architectureEcosystem partners
- MTX
- Atturra
The pack your risk team will ask for.
Deployed in your cloud. Inference-only, your data is never training data. ISO 27001 certified. The controls map, data-flow diagrams and sub-processor list.
PDF · 4 pages
Organisational intelligence
We don’t leave you with software. We leave you with an organisation that compounds.
Each function added makes every other function smarter. The memory is yours, held inside your tenant, never co-mingled, never trained on. How it compounds →
Bring monō inside.
A working session, then working capability, weeks, not quarters.