AI Vertical · MMT CoE

MMT Cognify

A multi-model RAG and agentic automation platform for enterprises.

IN DEVELOPMENT

Part of the MMT Center of Excellence. Early access available to design-partner customers.

What we’re building.

Problem

Enterprises are trapped between expensive hosted AI APIs and under-resourced self-hosted efforts.

Swapping models means rewriting prompts and pipelines.

RAG systems built in-house leak PII and lack proper audit trails.

Agentic workflows are brittle proofs-of-concept rather than production systems.

Solution — MMT Cognify

Multi-model abstraction: Claude, GPT, Gemini, and local Ollama/Llama behind one API.

RAG pipelines with PgVector or Weaviate, automatic chunking and embedding strategies.

Agentic workflow engine with tool calling, retries, and structured output validation.

Enterprise-grade: RBAC, full audit trail, PII redaction, air-gapped deployment option.

Claude, GPT, Gemini, Ollama behind one API. Drop-in switching with no prompt rewrites.

PgVector or Weaviate, hybrid search, automatic chunking and embedding strategies.

Tool calling, retries, and structured-output validation as first-class primitives.

RBAC, full audit trail, automatic PII redaction at ingestion and inference.

Full air-gap supported via on-prem Ollama and local vector store.

Per-call token spend, latency distribution, and quality metrics by model and route.

Context-grounded Q&A across runbooks, wikis, and ticket systems with PII redacted at the boundary.

Agentic workflows for tier-1 triage, response drafting, and CRM updates with full audit trails.

Multi-model RAG over filings, papers, and proprietary datasets with citations baked in.