SaaS · Product intelligence Narratize
Enterprise RAG for institutional knowledge
At a glance
The brief, up front.
Expert insight goes undocumented, and the documentation that exists is inconsistent and hard to find.
Cerebrum, a bespoke enterprise RAG system, plus narrative generation, knowledge hubs, and portfolio controls with audit logging.
The challenge
What stood in the way.
Innovation-driven organizations, particularly in scientific, technical, and R&D-heavy industries, struggle to capture and scale what they know. Experts produce insights that never get documented; documentation, when it exists, is inconsistent and inaccessible. Narratize saw the opportunity to solve this with AI, and needed an engineering partner who could build a production-grade platform from the ground up with the security, scalability, and performance enterprise customers demand.
The system we shipped.
We built Cerebrum, a bespoke enterprise-grade RAG system designed for Narratize's knowledge management use case, alongside the full Narratize platform: AI-guided narrative generation using proprietary frameworks, team knowledge hubs with collaboration and citation traceability, and enterprise portfolio management with granular role-based access controls and audit logging.
The architecture is built for enterprise scale: microservices on AWS ECS, event-driven via EventBridge, per-organization data isolation, private VPC networking, and comprehensive monitoring.
What was delivered
Outcomes you can point to.
- Cerebrum: bespoke enterprise RAG with deep knowledge management capabilities
- AI-guided narrative generation with full citation traceability
- Enterprise portfolio management with granular RBAC and audit logging
- Microservices architecture with per-org data isolation and private VPC
Stack
What it runs on.
Your story starts here
Tell us what you're building.
We'll tell you how we'd approach it, and why.