Model-Internal Intelligence
Look inside AI.
Unlock hidden signals.
NeuronLens discovers internal concepts and turns them into deployable products for agent oversight, safety, and targeted model repair.
Not just what models say — what forms inside them.
The Problem
The surface shows symptoms. The inside holds answers.
Prompts, outputs, and traces capture what a model said. They rarely surface the internal signals that caused the behavior — or the latent knowledge waiting to be discovered.
Outputs are shallow
Final answers hide the concepts that shaped them.
Failures stay one-off
Teams patch incidents instead of creating reusable controls.
Signals stay trapped
Useful model knowledge remains inside the model.
How It Works
Discover. Control. Design.
Discover
Find internal features, concepts, and hidden signals
Every discovery becomes evidence you can act on, explain, and trust.
Control
Monitor and intervene during runtime
Internal signals become policy gates before failure fires.
Design
Repair and design models through internal evidence
Target the source behavior, not just the output symptom.
Products
Product Verticals
Agent Lens
Internal oversight for tool-using AI — catch risky actions before they fire.
Safety Lens
Detect grounding risk, prompt injection, and unsafe output from inside the model.
Model Repair Studio
Fix recurring model failures with targeted internal repair.
Powered by a research engine for activation analysis, sparse features, probes, and causal validation.
Our Research
Technical Explorations
Deep dives into the mechanics of neural representations.
Blog
From the Team
Essays, opinions, and updates on interpretability, AI safety, and what we're building.
Get in touch
Reach out to start a conversation with our team.