Your AI agents are context-starved. We fix that.
Dataken operates the activity-context layer for desktop AI — the first-party record of what real people are actually doing on their computers — and ships it as OLi, the agent that turns that context into help the user never had to ask for.
10% more productive time in 30 days, or you don’t pay.
Talk to our teamThe axis everyone else is missing.
Most context engineering work today is RAG over documents and tools. That gives your agents knowledge of what was written down. It does not give them knowledge of what is happening right now — what the human is doing, how long they have been doing it, what they were doing before, and what they are likely to need next.
That is activity context. It is the substrate a JIT agent needs to generate prompts, surface skills, and act without being asked. And Dataken is the only company with a multi-year, production-grade dataset of it.
What the activity graph makes possible.
Per-tenant skill customization
Copilot cannot write into your customer’s Epic instance. OLi can — because the rules registry is configured per tenant, and the activity graph provides the context that makes the action specific rather than generic.
JIT intervention, not chat
OLi does not wait to be prompted. It sees the work, matches a recognition pattern, and acts. The human does not need to know what to ask for — OLi already knows what they need.
A moat you cannot replicate in a quarter
10 billion+ activity records. 5+ years of continuous operation. 1 million records per day. This is not a feature — it is a dataset that took years to build and cannot be bootstrapped by a new entrant.