An AI lab with an engineering studio attached.
We build custom reinforcement learning systems and autonomous AI agents, and the full-stack engineering to put them in production: web, mobile, cloud and data.
Most AI is trained once and frozen. We build the other kind: systems that learn from their environment, adapt when the world shifts, and ship as real software your team can run.
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| Custom Reinforcement Learning | We design the environment, shape the reward and train policies that make decisions in your domain, then prove they hold up outside the simulator. |
| AI Agents & Automation | Autonomous agents that plan, call tools and coordinate with each other, built with evaluations and human checkpoints so you can trust what they do. |
| Technology Solutions & Engineering | The full stack around the intelligence: products, data pipelines, ML infrastructure and the systems work that keeps it all running. |
Solutions: Frontend & Web Design · Web platforms · Mobile apps · Data & ML infrastructure · Cloud & DevOps · Embedded & IoT · Integrations & APIs
Every demo on our site runs a real algorithm live in your browser. Nothing is a recording.
- Watch an agent learn: tabular Q-learning and SARSA on a grid you can redraw.
- Watch a network learn: a neural network training on data you shape.
- Watch a robot map a room: simulated lidar, occupancy-grid mapping, frontier exploration and A* planning.
- Teach a phone a gesture: a small neural network trained on your device, including int8 quantisation.
- Train a recommender, live: matrix factorisation, compared against a popularity baseline.
- Find the root cause of an alert storm: learned baselines and dependency-graph ranking.
- Map two APIs automatically: field matching, generated adapters and contract tests.
- Pull a palette out of any picture: k-means in OKLab, with WCAG contrast checks.
- Discover: map the decision you want automated, the data you have and the constraints that cannot move.
- Model the environment: build a simulator or digital twin and validate it against reality.
- Train and iterate: reward design, algorithm selection and fast training loops, until behaviour matches intent.
- Evaluate: held-out scenarios, stress tests and adversarial cases. Nothing ships on a single good curve.
- Deploy and monitor: ship behind guardrails, monitor drift and set up retraining so the system keeps learning.
Our principles:
- Environment first. We model your world before we build any model.
- Measured, not vibed. Every system ships with evaluations built from your real cases.
- Guardrails by design. Permissions are explicit and every action is logged.
- Handover is part of the job. You get the code, the infrastructure as code, the runbooks and the training.
Tell us what you are trying to automate, optimise or learn. We reply to every serious enquiry within two working days.
ionatetechnologies.com/contact · devaansh@ionatetechnologies.com · sambhav@ionatetechnologies.com
