---
title: README
emoji: 👁
colorFrom: red
colorTo: green
sdk: static
pinned: false
short_description: Clean feedback and promotion gates for AI agents.
---

# Verifiable Labs

Verifiable Labs builds clean feedback and promotion gates for increasingly general AI agents.

We develop infrastructure for evaluating agent improvements, checking whether those improvements transfer to unseen/OOD/adversarial situations, and producing synthetic/redacted evidence artifacts for promotion decisions.

## Public resources

- GitHub: https://github.com/verifiablelabs
- PyPI: https://pypi.org/project/vlabs-sdk/0.0.2/
- Install: `pip install "vlabs-sdk==0.0.2"`
- Dataset: https://huggingface.co/datasets/verifiablelabs/vlabs-clean-gate-evidence
- W&B: https://wandb.ai/verifiable-labs/clean-generalization-gate

## Evidence policy

Public evidence is synthetic/redacted and is not a training dataset.

It does not include customer data, hidden evals, gold answers, raw traces, private traps, private engine internals, secrets, or provider keys.

## Formal scope

Selected mathematical properties behind the contamination-resistant promotion gate are machine-verified in Lean 4. The implementation is property-tested against the formal specification.