Simulation + RL

Twinn

Twinn is the safe training ground — a replayable simulation of your ERP and close process where agents learn via reinforcement learning and every release is regression-tested against thousands of scenarios.

5 lettersSimulation + RLOwned model · GPU-accelerated

Part of the Closora close

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Overview

What Twinn does

Twinn is the safe training ground — a replayable simulation of your ERP and close process where agents learn via reinforcement learning and every release is regression-tested against thousands of scenarios.

Every product in the suite shares memory, audit trail, and the verifier — composing one autonomous close function from owned models.

At a glance

  • Pre-production agent validation
  • Safety evidence for auditors
  • Exception scenario stress-testing
Key features

Why teams deploy Twinn

How it works

Inside the workflow

Ingest

Twinn receives its inputs from your ERP, banks, or document stores in real time.

Reason

Owned, fine-tuned models make a structured, tool-callable decision with rationale.

Verify

An independent verifier gates the action against policy before anything is written.

Record

The outcome and its provenance land in the immutable audit timeline.

Specifications

Built on the NVIDIA stack

Twinn specifications
SimulationNVIDIA Omniverse
RLIsaac Lab
TrainingDGX H200 / GB200
OutputValidated agent policies
Inside the product

A look at the surface

Live view
Exception detail
Audit trail
Use cases

Where it earns its keep

Growth
$2k–$10k /mo

Twinn included with the Growth platform.

  • Unlimited agents
  • Shared audit trail
  • SSO + audit log
  • Shadow onboarding
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Related products

Pairs well with

FAQ

Twinn questions

Yes — packaged as a NIM microservice for VPC or air-gapped deployment.

Yes — each product is self-contained and can start on a single workflow without the rest of the suite.

Against a labeled benchmark with verifier catch-rate reported transparently.
Ready when you are

See Twinn on your data.

We'll run it in shadow mode against a recent period so you can compare.