Agents that know what your business knows. Institutional memory, queryable.
Out of the box, AI agents only know what's in their prompt. Your business knows much more: years of past projects, a thousand emails about how a process actually works, a folder of policies, a wiki nobody fully reads, the hard-won judgments of your most experienced staff.
Without knowledge infrastructure, every agent is a novice. It can write fluently but it doesn't know your context. It will be confidently wrong about things your team would catch instantly.
We build the layer that makes your data accessible to agents. Pipelines that ingest your documents, vector stores that let agents search semantically, knowledge graphs that capture relationships. Your data becomes the sheet music your agents perform from.
Where institutional knowledge lives today, and where it's getting lost. Policies, projects, emails, decisions.
Documents, emails, tickets, transcripts, structured data, processed and indexed. Automated and maintained.
Vector stores, hybrid search, knowledge graphs. Sized and tuned for your data shape and query patterns.
How the knowledge stays current, how stale data gets pruned, how quality is monitored over time.
Knowledge Infrastructure is the foundation laid in Compose, and it's maintained continuously through Perform. New agents come online with access to it; existing agents get smarter as it grows.
Pairs with: Agent Design & Deployment (the agents that consume the knowledge) and Integration & Connectivity (the systems data flows from).
A professional services firm had 12 years of project files: contracts, scopes, deliverables, lessons learned. Buried in folders. We built a knowledge layer that pulls from all of it. New project quotes that took 3 days now take 40 minutes, and they reference precedents the senior partners forgot existed.
90 minutes. No obligation. Walk away with a clear view of where your institutional knowledge is and how agents could use it.
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