Build an evidence graph
Connect requirements, decisions, test outcomes, and supplier inputs while preserving where each claim came from.
Decision intelligence for hardware teams
Make hardware decisions traceable.
NanoHN turns scattered technical evidence into clear decisions, risks, and next steps.
Built for the evidence between an idea and a production-ready product.
SpecificationsTest reportsSupplier documentsEngineering discussions
Hardware knowledge is everywhere. Decisions should not be.
Critical context gets buried across documents, inboxes, meetings, and revision histories. NanoHN is being designed to connect that evidence without hiding the reasoning behind the answer.
Requirements
Test results
Supplier notes
Review comments
Reason across the evidence
With source-level references
Decision record
Recommendation
Open risks
Next actions
One reasoning layer across the product cycle.
The concept focuses on four high-friction moments where teams need context, comparison, and accountability.
Review change impact
Ask what a new constraint changes, which assumptions it challenges, and what the team needs to validate next.
Prepare decisions
Structure options, tradeoffs, unresolved risks, and the evidence needed for an informed review.
Carry context forward
Create durable decision records so later teams can understand what changed, why it changed, and what remains uncertain.
Why Claude
Complex products need reasoning that stays grounded.
We plan to use Claude to analyze long, mixed technical contexts, compare competing constraints, and produce structured outputs that link back to source material.
Long-context synthesis
Multi-step analysis
Structured decision support
Human review by design
Designed for consequential work.
NanoHN is an early-stage concept. These principles define the product we intend to build.
Show the evidence.
Recommendations should be inspectable, linked to source material, and clear about uncertainty.
Keep humans in control.
The system supports judgment. It does not silently make production or safety decisions.
Reduce the coordination tax.
Automate the work of collecting context so specialists can spend more time evaluating it.
Help shape a better decision workflow.
We are speaking with hardware product, quality, and engineering teams about how complex decisions are made today.
Request access
Early conversations only. No product availability or launch date is implied.