A multi-tenant SaaS API + worker system + React dashboard designed to get data into Cognee cleanly and get graph-aware answers back out fast.
Cognee Graph RAG
Uses official @cognee/cognee-ts client to build and query semantic knowledge graphs.
Ingestion Pipelines
Asynchronous intake enqueues BullMQ jobs to add, cognify, and poll dataset status.
Tenant Dataset Isolation
Strictly scopes queries and datasets by Tenant UUID to guarantee privacy.
Groq Inference
Fast LLM inference for chat completions, brief generation, and churn classification.
Power neural solutions.
We ship production-grade AI: from prototype to platform. Every engagement includes architecture, deployment, telemetry and a runbook for your team.
Three phases to production.
A predictable path from a fuzzy problem to a running system. Every phase has a deliverable and a decision gate.
Accept raw text payload, create pending ClientInteraction record, and enqueue BullMQ job.
Worker picks up job, calls Cognee add() and cognify(), and polls status until completion.
Query Cognee graph context, pass to Groq, and write InsightEvents for CSM attention.
Built for the scale.
Optimized for performance
Real-time telemetry, adaptive routing and warm inference paths. Every millisecond accounted for, every request traceable.
Engineered for autonomy
Systems that self-heal, self-scale and self-report. Deploy once, iterate through observation.
