We believe every business will become an AI company over time, deploying AI across most workflows. Shared company context is the first step to make this vision come to life
We help enterprises set up a context layer that AI can read and deploy AI agents & systems on top
AI that pays back needs to know how your business runs, and most of that is never written down. We capture and encode it in one context layer, the foundation for every AI deployment
Our AI context engine draws on your systems, your documents, and your people to create your company’s unique context layer that AI can read. It also shows where to deploy AI first
A context layer is only useful while it is accurate, and your business changes every week. Our Context Platform keeps it current, so every AI agent and assistant works from the same foundation
It connects to the systems you already use, flags what has gone out of date, and lets your people approve each update. Access & permissions ensure the right context is shared with the right AI agents
With your context layer in place, our deployment strategists and forward deployed engineers work with you to design, build, and ship AI agents and systems on top of it
Each one starts from your context, follows your permissions, and runs in your existing systems. We measure it against the baseline and stay until the new way of working sticks
A single source that powers every AI deployment
General AI chatbots that don’t know your organisation
AI assistants that know you and how you work
Agentic AI deployments that complete work
Custom AI software built around your workflows
Faster information retrieval
Every employee gets specific answers from your own documents and systems, increasing organisational speed and decision making
AI agents that can complete work
Agents finish whole tasks and workflows, following your permissions and in your existing technology systems
Your own software factory
Your organisation can build AI systems that are 1-of-1, with each build starting from what your business knows and needs
Faster decision-making and information retrieval at organisational scale
The first use case the context layer unlocks is the ability to find & share critical business information across teams in seconds. Less time chasing information, more time focusing on business outcomes
Less time gathering context, more time in front of customers
Less time reconstructing past decisions, more time building
Faster answers, drawn from current policy every time
New joiners productive sooner, with fewer repeat questions
One voice across every channel, without rewriting every draft
Answers from one source, and policy applied every time
Less time searching, more time deciding
Sales example: A 300-person logistics firm fills in your web form
Pick a team. Send the same request to AI on its own and to AI with your context layer, while an agent picks up the same work by itself
