Product
From hidden signals to deployable lenses.
NeuronLens turns internal model signals into four product layers: runtime control, discovery, domain intelligence, and targeted repair.
- Runtime Lens controls what happens live.
- Concept Studio discovers what is inside.
- Domain Lenses apply internal signals to high-stakes domains.
- Model Design Studio repairs what repeatedly fails.
One platform. Four product layers.
Runtime Lens
Turn internal signals into live controls for safety and agent workflows.
Concept Studio
Discover, inspect, and operationalize internal model concepts.
Domain Lenses
Apply model-internal intelligence to high-stakes domains.
Model Design Studio
Fix recurring model failures with targeted internal repair.
01 — Runtime Lens
Runtime Lens: beyond logs, inside the model
- Reads activation signals inside the model, not just outputs
- Finds root causes of failures, not just symptoms
- Acts before the action fires: allow, block, or reroute
Runtime Lens · 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
Runtime Lens · 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
02 — Concept Studio
Discover what the model has learned.
Concept Studio is the discovery layer of NeuronLens. It helps teams search, inspect, and test internal concepts before turning them into runtime controls, repairs, or domain lenses.
Concept Search
Find internal concepts linked to behaviors, risks, domains, or failure modes.
Activation Checks
Create conditional checks when specific internal signals activate.
Search-and-Steer
Experiment with how internal concepts influence model behavior.
Lens Export
Turn useful concepts into Runtime Lens controls, Model Design Studio repairs, or Domain Lenses.
concept_studio
Search
Results
03 — Domain Lenses
Apply internal signals to high-stakes domains.
Domain Lenses package validated internal signals into specialized products for workflows where hidden failure modes, domain concepts, and decision evidence matter.
Trading / Risk Lens
Track internal concepts behind market stress, guidance uncertainty, liquidity risk, event behavior, and model drift.
Credit Lens
Surface borrower-risk concepts, evidence gaps, and rationale mismatch in credit workflows.
Cyber Lens
Detect high-risk action intent, missing evidence, and escalation patterns in security workflows.
Science / Healthcare Lens
Track uncertainty, grounding gaps, and domain-specific failure signals in scientific or clinical workflows.
Domain Lenses are not separate tools. They are specialized products built from the same internal signal engine.
04 — Model Design Studio
Repair failures from inside.
When the same failure keeps appearing, Model Design Studio helps diagnose the internal features behind it and guide targeted repair — without blunt retraining.
Failure Slice
Group recurring errors into a focused repair set.
Feature Diagnosis
Identify internal features associated with the failure.
Targeted Repair
Guide adaptation toward the failure-driving signals.
Before / After Evidence
Measure whether the repair fixed failures while preserving what already worked.
Fix the failure mode, not the whole model.
One loop. Four product layers.
Control
Runtime Lens
Discover
Concept Studio
Apply
Domain Lenses
Repair
Model Design Studio
The same research engine powers all four: activation analysis, sparse features, probes, and causal validation.
Start with one workflow. Build reusable lenses.
NeuronLens is looking for design partners deploying high-stakes AI systems where surface monitoring is not enough.