Robotics product intelligence
Understand how robots are used in the field. Improve your product. Predict failures before they happen.
Patrol mode usage after FW 2.4
Motor drift detected before breakdown
robovis> analyze fleet --period 30d
Voice recognition: 66% abandon rate after 3.2 retries.
5 robots used as surveillance cameras 22:00-06:00.
Recommend: auto-fallback touch UI + night mode.
Problem
Robotics teams lack Mixpanel-level visibility. Operators only discover failures when a robot is already down.
Which features drive adoption? Where do users abandon? Which environments create friction?
Which robot is about to fail? What should maintenance do this week? Which threshold needs action now?
How do you get AI-driven insight without sending sensitive robot data to the cloud?
Two products
RoboVis gives manufacturers product intelligence and gives operators predictive maintenance.
PRODUCT INTELLIGENCE
Understand adoption, journeys, friction and emerging usage to improve the robot itself.
PREDICTIVE MAINTENANCE
Know when a robot will fail before it does. Reduce downtime and protect fleet operations.
How it works
Compact summaries on the robot. Structured intelligence in Central. Local LLM insight on top.
A Rust runtime extracts features, detects anomalies and tracks usage in real time on the robot.
Only compact reports are uploaded and stored. No raw continuous stream required.
Ollama turns operational and product signals into recommendations, predictions and summaries.
Key features
Know which robot capabilities are loved, ignored, or constantly overridden.
Track session flows, repeated paths and abandonment moments.
Identify retries, failures and operator workarounds automatically.
Compare usage across sites, firmware versions and customer segments.
All insight generation runs locally with no cloud dependency.
Surface drift, pre-anomaly context and imminent failure risk before downtime.
Security
No internet required at runtime. Local LLM, local DB, local deployment.
Each robot can authenticate with secure mutual TLS when transport is enabled.
Aggregated metrics, no raw sensitive payloads by default, human validation for config push.
Customers decide what is shared with the manufacturer: none, aggregated or full.
Integration
Sensor adapters let RoboVis ingest IMU, encoders, battery, proximity, touch, audio and more.
Request a demo
Landing page, constructeur dashboard, client dashboard, all on your infrastructure.