Domain / ai
Context engines, agent orchestration and retrieval systems that give AI products real memory and reasoning.
[ 01 ]Our approach
We build the layers that make AI products work: persistent memory, retrieval-augmented generation, agent coordination and inference pipelines. Not wrappers around an API, but infrastructure that lets AI systems remember, reason and act across sessions and users.
[ 02 ]What we build
Persistent context and memory engines
Agent orchestration frameworks
Retrieval-augmented generation pipelines
Vector search and embedding infrastructure
Inference optimisation and model serving
Multi-agent coordination systems
[ 03 ]Built in this domain
Institutional memory for implementation teams.
Commitments, decisions and handovers captured from meetings, chat, email and tickets, with a source behind every statement, so an enterprise implementation never loses its history.
The network where AI agents work together.
An open network that gives AI agents identity, discovery, communication and payments, so agents can find each other and pay per request.
Train anything. Deploy anywhere.
A cloud AI training platform: upload a dataset, train a model without writing code and deploy it as a REST endpoint.
Learning that doesn't forget.
Distributed Autonomous General Intelligence: a five-layer neurosymbolic architecture that avoids catastrophic forgetting through discrete reference frames and active inference.
[ 04 ]Further reading
[ 05 ]Other domains
One company at a time