Instead of a consulting team doing the hard work by hand, our Knowledge Engine does the heavy lifting. Your team stays in control and approves every step.
weeks to your first domain, live
engine stages, each removing a bottleneck
of decisions approved by your team
Cloud warehouses Transactional databases Operational systems Files & documents
Discovery
Definition
Relationship
Pipeline
Wiring
→ Your approved knowledge layer, live
Microsoft Copilot AWS Bedrock Google Gemini Anthropic Claude
Maps what data you have and where it lives.
Proposes what your entities and metrics mean.
Drafts how your data connects as a graph.
Generates pipeline config to keep the layer fed.
Connects your layer to Copilot, Bedrock, Gemini, Claude.
AI is only as good as the data and rules behind it. Everything we build is meant to make that foundation stronger — no matter which platform you use.
We map out what your data and business terms actually mean before building anything on top.
We turn raw data access into simple, well-defined building blocks that can be reused, not rebuilt each time.
We add clear rules so AI behaves consistently and predictably — as reliable as your trusted reports.
For each new customer, the engine starts from a proven pattern instead of a blank page.
Pre-built scan patterns for common systems — Salesforce, SAP, Snowflake, Workday, SQL Server, SharePoint. Connects on day one without custom connector work.
Pre-loaded entity and metric definitions for Healthcare, Retail, Finance, and Manufacturing. Starts from 70% right — your team edits the remaining 30%, not all of it.
Pre-built graph structures for common domains — Customer-Order-Product, Patient-Provider-Claim, SKU-Store-Channel. Proposes from a proven pattern, not from zero.
Pre-built connection configs for Copilot, Bedrock, Gemini, and Claude. Generates the right output for whichever platform the customer uses.