Nous AI Technologies
Book a briefing

Governed AI at enterprise scale — delivered as reusable services.

Nous-Tech AI Service Mesh operationalizes models, RAG, tools, and agentic workflows with identity, policy gates, auditability, and cost controls across teams and clouds.

Nous (UK: /naʊs/, US: /nuːs/), from Ancient Greek: νοῦς, is a concept from classical philosophy, sometimes equated to intellect or intelligence, for the faculty of the human mind necessary for understanding what is true or real.

Our mission is to bring that same clarity to enterprise AI by delivering governed, observable, and trustworthy AI systems that scale safely across teams and clouds.

What you get
  • • Identity & policy gates for tools and data access
  • • Observability for quality, drift, and cost attribution
  • • Reusable services: model APIs, RAG APIs, tool APIs, agent APIs
Executive summary

Agentic AI defines how autonomous systems plan and act. The AI Service Mesh defines how AI is deployed, governed, observed, and scaled safely across the enterprise — with agentic workflows operating as first-class consumers on top of the mesh.

Designed for AWS/EKS + enterprise IAM + data boundary enforcement.

Governance & policy gates

Enforce identity, permissions, data boundaries, and approval steps for high-risk tool actions.

Observability & cost attribution

Trace requests end-to-end, evaluate quality and drift, and attribute spend by team/app/agent.

Reusable AI services

Standardize consumption: model APIs, RAG APIs, tool APIs, and agent APIs with contracts.

How it works

A practical operating model: register capabilities, govern access, route intelligently, and observe outcomes.

1) Register services — models, RAG pipelines, tools, and agent workflows exposed as versioned APIs
2) Enforce controls — identity, allow-lists, budgets, and human-in-the-loop policies applied
3) Route & scale — approved models/deployments with quotas and resiliency
4) Observe & improve — quality, drift, cost, and audit trails drive continuous hardening