RL Environments-as-a-Service

Train enterprise agents

Train enterprise agents

Train enterprise agents

where work actually happens

where work actually happens

where work actually happens

Deliver RL environments that mirror real enterprise work with real-world data, function-specific workflows, and SME-grounded tasks and rubrics.

The hidden infrastructure behind world-class AI models

The hidden infrastructure behind world-class AI models

The hidden infrastructure behind world-class AI models

What we provide

Six things that make an environment real

Six things that make an environment real

Most RL environments simulate one or two of these​. We deliver all six, and together they're hard for any players to replicate end to end.

01

Real anonymized enterprise data layer

Coherent, real company data that agrees across every connector, not synthetic.

02

SME-grounded workflows

Authored and validated by the experts who actually do the work.

03

Safe connector replicas

Production-grade tool surfaces, resettable and observable, with zero production risk.

04

Verifier-ready training signals

Every run produces a measurable, auditable reward.

05

Failure-mode analysis

Every failed run is root-caused to a taxonomy leaf so you learn why a model failed, not just that it did.

06

Frontier-difficulty tasks

Long-horizon, multi-step work that demands adaptive error recovery and context spread across many systems where today's models still break.

Environments

Environments we've built

Environments we've built

Mirroring the real systems, data, and tasks of a specific domain

Mirroring the real systems, data, and tasks of a specific domain

Blog

Customer Stories

Proven results

with leading AI teams.

See how organizations use Centific’s data and expert services to build, deploy, and scale production-ready AI.

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