Teams who trusted us to put AI into production.
Four disciplines behind everything we ship — built, governed and verified, kept sovereign to your estate and running on infrastructure you control.
Most agents impress in a demo and stall in production. Ours don't. We design, build and operate fully autonomous systems — orchestration, tool use and human hand-off engineered end to end — grounded by ATX KomplianceAI, which returns citation-backed facts or refuses, never an invented citation.
Security for your AI, and AI for your security. Access control, observability and independent evaluation for every agent you run — oversight that holds from first deployment through retirement, with accuracy, safety and drift proven rather than promised. Enforced by ATX Guardrails, verified by ATX AI Eval.
Your data, your infrastructure, your control. Locally hosted AI built for sovereignty in highly regulated environments and for global languages — end-to-end ownership with language evaluation and voice AI native to your market.
A high inference bill is usually a serving problem, not a model problem. The layer underneath the agents — AI FinOps that attributes spend per call and holds it inside a budget you can actually see, latency traced to the stage that spent it, GPUs programmed for the workload, and memory and model versions that outlive any single deployment. It is also where legacy workflows get modernised onto that layer rather than rebuilt from scratch.
The research institutions we build and publish alongside.
Coming soonWhy ATX
Most AI programmes die between the pilot and the P&L. ATX Labs is built by engineers who ship agent systems into healthcare, legal and public-sector environments — and then keep them running, governed and measurable long after launch.
Core expertise
Hierarchical agent planners GraphRAG + late interaction Ontology-backed graphs GRPO & DPO post-training 4-bit quantised serving Code-mixed Indic ASR Reward models & evals Prompt-injection red-teaming Drift detection Air-gapped inference
Demos stop at the happy path. We build agent systems that run end to end in production — orchestration, tool use, retries, human hand-off — and we own the whole stack, so there is no seam for it to fail at.
Access control, guardrails and full-trace observability on every agent you run. You can see what it did, why it did it and who authorised it — from first deployment through retirement.
Nobody ships software without tests; most teams ship AI without them. Our evaluation harnesses measure accuracy, safety and drift continuously, so behaviour is proven on every release.
On-premise, air-gapped or your own cloud — patient records and case files never have to leave your control. Built for Bharat’s languages, regulation and infrastructure.
Every project is anchored to a number you already report — cycle time, cost per case, resolution accuracy. We agree on the metric before the first line of code, not in the retro.
The AI ecosystem leaders we work with.
In the BFSI sector, AI revolutionizes operations through fraud detection, risk assessment, and personalized financial services. Machine learning algorithms analyze vast amounts of transaction data in real-time, flagging anomalies and potential fraudulent activities swiftly. Moreover, AI-powered chatbots enhance customer service by providing instant support for queries and transactions, improving overall customer satisfaction and retention. With predictive analytics, financial institutions can forecast market trends and optimize investment strategies, ensuring better returns for clients while mitigating risks.
Tell us the outcome you are chasing. We will tell you honestly whether AI is the right lever, and what it would take.
