AI & Automation

AgentOS

Build. Deploy. Govern. Scale.

The problem

AI agents are straightforward to prototype and difficult to operate. Getting them into production means solving orchestration, governance, human oversight, and integration — usually rebuilt from scratch for every use case.

AgentOS lets organisations rapidly build, deploy, orchestrate, and govern intelligent AI agents at scale — combining multi-agent orchestration, autonomous decision-making, human oversight, and enterprise integration in one platform.

AgentOS — pipeline run #2703
  • Format Detection Agentdone
  • Schema Intelligence Agentdone
  • Validation Agentrunning
  • Human Governance Agentwaiting
  • Orchestration Agentidle
Low-confidence result routed for reviewHuman in the loop
Representative interface, drawn as code.

Measured

  • 80%

    Less AI development effort

What it does

  1. Knowledge Agent

    Manages memory and context across tasks.

  2. Format Detection Agent

    Identifies data structures automatically.

  3. Schema Intelligence Agent

    Maps incoming data to business models.

  4. Human Governance Agent

    Handles approval and oversight checkpoints.

  5. Validation Agent

    Performs quality and compliance checks.

  6. Orchestration Agent

    Coordinates workflows across the other agents.

Business outcomes

  1. Up to 80% less AI development effort

    Reusable templates replace bespoke build-out.

  2. Faster deployment

    Reusable templates shorten time to production.

  3. Model flexibility

    Supports OpenAI, Gemini, Claude, and open-source models.

  4. RAG-powered knowledge management

    Grounded retrieval built into the platform.

  5. Cloud-agnostic, API-first

    Deploys against your existing cloud and systems.

AgentOS in action

We will walk you through it against a problem you actually have, and tell you plainly whether it fits.

Request a walkthrough