AI-Native by Design: The Platform Behind Our Products
· One min read
Nine products, one foundation. Here's the shared, AI-native architecture that lets us ship quickly without sacrificing reliability or safety.
Four layers, every product
- Orchestration — model-agnostic planning and execution with LLMs and autonomous agents that hand off, call tools, and keep a human in the loop.
- Knowledge & retrieval — RAG over vector search keeps answers grounded in your data.
- Guardrails & observability — validation, policy checks, and full traceability of every material decision.
- Delivery — cloud services, embeddable widgets, or portable bundles that run air-gapped for regulated environments.
Cost is an engineering problem
Running a frontier model for every task is wasteful. So we built CogniRank — a gateway that routes each request to the cheapest model that still clears the quality bar, cutting routine spend by 60–90%. Responsible use of compute is part of responsible AI.
Grounded, transparent, human-in-the-loop
These aren't slogans — they're constraints in the architecture. Read more in our Responsible AI commitments, or dig into the Platform docs.
— The MetaVector engineering team