Product

From hidden signals to deployable lenses.

NeuronLens turns internal model signals into three deployable products: agent oversight, safety monitoring, and targeted model repair.

  • Agent Lens controls agent tool calls from inside the model.
  • Safety Lens detects grounding risk and policy violations before delivery.
  • Model Repair Studio fixes recurring failures with targeted internal repair.

01 — Agent Lens

Agent Lens: internal oversight for tool-using AI

Connect in 2 lines · works with LangChain, CrewAI, Claude Agents, AutoGen, OpenAI Agents, and more

Finds model-internal signals that drive agent behavior

Catches risky tool calls before execution

Detects tool-call hijacking, goal drift, and privilege escalation

Tool omissionWrong tool choiceLoop riskAction mismatchGoal driftPrivilege escalation

02 — Safety Lens

Safety Lens: internal signals for grounding and policy risk

Detects grounding and policy risk while responses form

Catches prompt injection, RAG poisoning, unsafe output, and red-team patterns

Supports block, review, reroute, or steer, with evidence before delivery

Unsafe generationGrounding riskSensitive leakagePrompt injectionRAG poisoningHigh-impact decisions

03 — Model Repair Studio

Repair failures from inside.

When the same failure keeps appearing, Model Repair Studio helps diagnose the internal features behind it and guide targeted repair — without blunt retraining.

01

Failure Slice

Group recurring errors into a focused repair set.

02

Feature Diagnosis

Identify internal features associated with the failure.

03

Targeted Repair

Guide adaptation toward the failure-driving signals.

04

Before / After Evidence

Measure whether the repair fixed failures while preserving what already worked.

Fix the failure mode, not the whole model.

Start with one workflow. Build reusable lenses.

NeuronLens is looking for design partners deploying high-stakes AI systems where surface monitoring is not enough.