Unorganized Machines Tools & research

We verify that AI training is actually right.

Check your GPUs, test coding agents against real code behaviour, and examine the proof of how a model was trained.

Both releases are available by request on Hugging Face.

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Things you can put to the test.

All products

Live

Card-check

A seconds-long check of your GPU’s training arithmetic, bit for bit.

One fixed step. A reference for your configuration. A result you can compare.

Try it

Live · Free sample

Reed

500 verified records of what real code changes actually did.

The before, the after, and the environment that lets you check them yourself.

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Research

Training receipts

Cryptographic proof of training, one recorded step at a time.

Exact integer rules. Linked receipts. A research record you can inspect.

See the proof

A result, in plain sight

The same step.
The same bytes.

Card-check compares a fixed training step against the reference for your card and software. This H100 produced a match.

What a match means
Fig. 01 / Card-checkRecorded output
Card-check on NVIDIA H100 PCIe. Driver 580.126.09, PyTorch 2.13.0+cu130. Result: MATCH.
Real output from the published Card-check example, typeset here. Original line

Built by Advaith Gunna

Unorganized Machines, Inc.

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