Intuitra

The idea

Most “knowledge” tooling forces a trade-off: rules-based chatbots are cheap but brittle and text-only; conversational bots answer general questions but can’t author rich content or automate work; and bureau-only platforms lock you out of creating your own material. Intuitra was designed to collapse that trade-off — a single platform that surfaces knowledge through RAG-ML across every channel, lets teams author their own rich content, and turns customer intent into measurable action.

What it does

• RAG-ML chat for customers, agents and engineers — natural-language answers grounded in the organisation’s own content.
• Advanced authoring CMS — articles, interactive guides, troubleshooters, checklists and workflows, created in-house rather than via a bureau.
• Multi-format ingestion — pull content from web, PDF, Word, CSV and Excel into a governed knowledge base.
• Voice-of-Customer analytics — intent vs. KPIs, gap analysis and resolution, ML-generated content to close those gaps.
• Codeless workflow automation and a single source of truth that manages the knowledge-to-channel relationship.

The architecture

Intuitra is a multi-service .NET platform with clean separation between the core domain, infrastructure, an ingestion worker pipeline and a web API — feeding a set of portals for different audiences (agent, client, supplier, support). Setup is deterministic and idempotent: new tenants are provisioned through layered packs (core, locale, industry, demo, validation), each with health checks, so every client lands on a working, pre-configured tenant.

• RAG-ML retrieval
• Vectorised knowledge store
• Idempotent tenant provisioning
• Multi-portal delivery
• Omni-channel surfacing

Why it’s here

Intuitra is the proof behind platform architecture: clean service boundaries, idempotent multi-tenant provisioning and multi-channel delivery, engineered to scale and built to be operated — a genuinely ML-heavy system with the analytics to prove it’s working.