← All companies

Noumad

Noumad builds formally verified reinforcement-learning environments for post-training AI agents on unsolved problems in long-horizon machine learning, computational science, robotics and cybersecurity.

Company website ↗

Source profile checked Oct 13, 2026 · snapshot exported Nov 4, 2026. Importing has not reverified these facts. Original sourced profile ↗

What they do

Delivery formats

Checked Oct 13, 2026
Not found publicly
See sources (0)

No public source was supplied for this value.

Original fact status: not_listed. Check date is separate from import time.

Data handling and security

Data sources

Checked Oct 9, 2026
Synthetic / generated
See sources (2)

NaturalnessGym Specifications ↗

SecureAssemblyGym Specifications ↗

Synthetic / generated
The data is a computation from a known physical model, not a fit to a collected dataset and not a model's imitation of one.
Evidence source ↗
Synthetic / generated
SecureAssemblyGym uses a simulated seven-degree-of-freedom fixed-base arm
Evidence source ↗

Original fact status: listed. Check date is separate from import time.

Confidentiality practices

Checked Oct 9, 2026
For reward integrity, Noumad says it uses strict environment isolation and keeps hidden test cases and evaluator secrets out of the agent's authoring environment; no customer-data or IP protections are stated.
See sources (2)

Safety And Alignment ↗

SecureAssemblyGym Specifications ↗

This pairs with strict environment isolation to provide robust security.

Original fact status: listed. Check date is separate from import time.

Company information