Process digital twin
A deterministic, replayable model of the ERP and close cycle.
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.
Part of the Closora close
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.
A deterministic, replayable model of the ERP and close cycle.
Agents improve on outcome reward: correct close, minimal exceptions.
Rare exceptions — fraud, intercompany, FX edge cases — generated and stored.
No agent change ships until it passes the twin.
Twinn receives its inputs from your ERP, banks, or document stores in real time.
Owned, fine-tuned models make a structured, tool-callable decision with rationale.
An independent verifier gates the action against policy before anything is written.
The outcome and its provenance land in the immutable audit timeline.
| Simulation | NVIDIA Omniverse |
|---|---|
| RL | Isaac Lab |
| Training | DGX H200 / GB200 |
| Output | Validated agent policies |
Twinn handles pre-production agent validation end to end, escalating only true exceptions.
Twinn handles safety evidence for auditors end to end, escalating only true exceptions.
Twinn handles exception scenario stress-testing end to end, escalating only true exceptions.
Twinn included with the Growth platform.
Private fine-tune of Twinn on your corpus.
The fine-tuned GAAP-reasoning and independent verifier engine behind every decision.
View product →GPU-served, layout-aware extraction for invoices, POs, and remittances.
View product →We'll run it in shadow mode against a recent period so you can compare.