The environments your models learn in.
Ananta Systems designs, builds and validates RL environments, tasks and graders for AI labs and AI-first companies. We also source the licensed data and set up the infrastructure to run them.
What we do
We cover everything from task design to a verified, difficulty-calibrated dataset of environments that is ready for training.
RL environment engineering
Sandboxed, reproducible, containerised environments for coding, DevOps/SRE, tool use, browser and computer use, and enterprise workflows.
Tasks, verifiers & rewards
Programmatic graders, rubric scoring and milestone-based partial credit. Every grader is reviewed for reward hacking and shortcut solutions.
Difficulty calibration & QA
We run rollouts against frontier models and harden tasks until pass rates fall in your target band. Each task ships with a reference solution and a QC report.
Data sourcing & licensing
Expert-created and licensed datasets with documented provenance, consent and licence terms, sourced to your spec.
Programme & deal management
One accountable partner for scoping, contracting, managing expert networks, SLAs and weekly delivery, so your team stays focused on training.
Training infrastructureComing soon
Rollout orchestration, evaluation harnesses and GPU capacity, set up and run for teams that need RL infrastructure without hiring a platform team.
How we work
We start small, prove the quality bar, then scale delivery.
Scope
We agree on the target capability, environment format, grader design and difficulty band, then write a spec and a few sample tasks for your sign-off.
Pilot
A fixed-price batch of environments, delivered with rollout results, pass-rate distributions and a QC audit, so you can judge the quality on real data.
Scale
A dedicated pod of engineers and domain experts with weekly delivery, tracked against the throughput and quality metrics agreed in the pilot.
Domains we build for
Environments where the models are still weak and the answers can be checked.
Why Ananta
Built by engineers who write, review and harden RL tasks every day.
Practitioners, not a labelling shop
Our team works on environment design, grader engineering and rollout analysis, not just annotation.
Verified before it ships
Every task is delivered with frontier-model rollouts, a reference solution and a grader audit, so you know what you're getting.
Secure by default
NDAs as standard, isolated build environments, and no reuse of your data or tasks across clients.
India-based, globally aligned
Our team is in New Delhi and works hours that overlap with US and European teams, at a cost that makes scaling up practical.
Tell us what you're training.
Send us the capability you want to improve. Within two business days we'll reply with a scoped pilot proposal and sample tasks.