An open-source toolkit for mechanistic interpretability in large language models.
Product memo
Provides the reproducibility and runtime layer for mechanistic interpretability in LLMs. It offers production-grade probes for detecting hallucinations and agent failures, alongside anti-Goodhart resistant standards. The platform makes interpretability methods inspectable, re-runnable, and citable, extending frontier lab infrastructure with a product layer.
For who
AI researchers and developers
Solves what
Mechanistic interpretability for LLMs, including probes for hallucination and agent failures.
- Reproducibility and runtime layer
- Production-grade probes
- Anti-Goodhart standards
In their own words
Probes that ship. Standards that survive.
The reproducibility and runtime layer for mechanistic interpretability.
Commercial cues
Model
free only
Free tier
Yes
Trial
No
Pricing Strategy
OpenInterpretability offers a free Atlas + Zenodo DOIs for results tier, with Enterprise handled through custom pricing.
- • Custom enterprise products address advanced needs for larger organizations.
- • Open-source distribution builds community and establishes a market standard.
- • Free Atlas + Zenodo DOIs for results tier lowers testing friction.
Operator context
Operating setup
Founded
May 2026
Platform
Web app
Audience
Developers
Social footprint
Builder Strategy
- Strategy Type
- Open Source Commercial
- Stage
- Pre Revenue
- Effort
- Small Team
About OpenInterpretability Expand
OpenInterpretability provides a crucial reproducibility and runtime layer for mechanistic interpretability in large language models. It targets AI researchers and developers who need to inspect, re-run, and cite interpretability methods.
The platform offers production-grade probes, such as FabricationGuard and agent-probe-guard, to detect hallucinations and agent failures, alongside anti-Goodhart resistant standards. This open-source approach, combined with custom enterprise products, aims to establish a standard for evaluating and understanding LLMs in a rapidly evolving field.