HAIVEMIND provides AI‑enabled sensor solutions that turn MOX gas sensors into calibrated, VDA‑270‑compliant electronic noses for rapid VOC detection, delivering objective pass/fail results and audit trails in under five minutes. Their modular platform also includes temperature, humidity, light, motion, vibration, particle, pressure, distance, and electrical sensors, enabling real‑time inline quality assurance for automotive OEMs, Tier‑1 suppliers, and other manufacturers.
Funding
Funding not disclosed
Founders
Product
Problem
Manufacturers rely on manual, subjective odor panels and slow laboratory analyses to assess VOC-related quality issues, leading to inconsistent results, long release delays, high testing costs, and an inability to integrate quality checks into production lines.
Solution
Haivemind offers an AI‑enabled “electronic nose” platform that transforms low‑cost MOX gas sensors into calibrated, VDA‑270‑compliant odor detectors. The patented SensorTrainer automatically trains sensors with machine‑learning optimized heating cycles, delivering repeatable VOC measurements in under five minutes. Results are provided as objective pass/fail decisions, trend data, and full audit trails, enabling real‑time inline quality assurance. The system scales from handheld units for on‑site testing to multi‑sensor boards for continuous monitoring, covering a broad portfolio of temperature, humidity, light, motion, vibration, particle, pressure, distance, and electrical parameters. Integration with existing production workflows is supported through edge AI processing and standardized data interfaces.
Target Audience
Primary customers are automotive OEMs, Tier‑1 suppliers, and manufacturers of consumer goods (e.g., plastics, toys, cosmetics) that require fast, objective VOC quality control and inline sensor integration.
Features
- AI‑driven training of MOX gas sensors for rapid, repeatable VOC detection (<5 min result time)
- Parallel processing of up to 25 samples with VDA‑270‑compliant audit trails
- Portable handheld trainer and modular sensor boards for on‑site or inline deployment
- Edge AI processing on custom PCB for real‑time analysis without cloud latency
- Scalable multi‑sensor portfolio (temperature, humidity, light, motion, vibration, particle, pressure, distance, voltage/current)
- Flexible integration via standard APIs and configurable data pipelines
- Patent‑pending technology (EP 4617659 A1) ensuring proprietary sensor‑AI methods