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About

An AI lab with an engineering studio attached.

Ionate builds reinforcement learning systems and autonomous agents, and the web, mobile, cloud and data engineering around them. One team takes a problem from a whiteboard to software your people run every day.

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Approach

Most AI is trained once and frozen. We build the other kind: a system that learns from its environment, adapts when the world shifts, and ships as real software your team can run.

Two halves, one team

A lab and a studio.

The lab

Intelligence that learns

We design environments, shape rewards and train policies; we build agents that plan, call tools and coordinate. The work is research-grade, but it is always pointed at a real decision in your business.

Reinforcement learning →

The studio

Software that ships

Models are a small part of a working system. We build the rest of it to the same standard: products, pipelines, infrastructure and the code that runs on devices.

Technology solutions →

01 / 03 · Principle

LEARN

Policies trained on your environment, not on a benchmark.

02 / 03 · Principle

ADAPT

Systems that keep improving after launch, under guardrails.

03 / 03 · Principle

SHIP

Production software on web, mobile, cloud and edge.

How we work

Commitments, not slogans.

  • 01

    Environment first

    Before any model, we model your world: its state, its actions and its failure modes. Most of the hard thinking happens here.

  • 02

    Measured, not vibed

    Every system ships with evaluations built from your real cases. Quality is a number you can watch, not a feeling after a demo.

  • 03

    Guardrails by design

    We decide with you where software acts alone, where it asks and where it stops. Permissions are explicit and every action is logged.

  • 04

    Handover is part of the job

    You get the code, the infrastructure as code, the runbooks and the training to run it all without us.

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