NDITIVE provides an AI‑powered, portable multi‑gas sensing platform that continuously monitors over ten industrial gases with sub‑3‑second anomaly detection and 95%+ accuracy. The device combines a patented Matrix‑SAW™ sensor array, edge AI analytics, and battery‑free energy harvesting to deliver real‑time alerts via long‑range communication, enabling safety and operations teams in heavy industry to prevent leaks and reduce downtime.
Funding
Funding not disclosed
Founders
Product
Problem
Industrial facilities suffer significant financial losses due to undetected gas leaks, which can cause product loss, unplanned shutdowns, health liabilities, and regulatory penalties. Existing gas monitoring systems are often outdated, lack accuracy, and provide only reactive alarms rather than proactive insight.
Solution
NDITIVE offers a portable, AI-powered multi-gas sensing platform that continuously monitors up to ten gases—including methane, carbon dioxide, hydrogen, oxygen, carbon monoxide, hydrogen sulfide, sulfur dioxide, VOCs, and ammonia—with real-time anomaly detection under three seconds and over 95% accuracy. The device integrates a patented Matrix‑SAW™ sensor array, edge AI analytics that learn environmental trends and predict threats locally, and long‑range communication for immediate alerts. Its ultra‑low‑power, battery‑free design harvests vibration and solar energy, enabling deployment as a wearable, drone‑mounted, or fixed unit without frequent maintenance. By delivering proactive intelligence rather than simple alarms, the platform helps operators make faster, safer decisions to prevent leaks and reduce downtime.
Target Audience
Primary customers are safety and operations teams in heavy‑industry sectors such as oil & gas, petrochemical, mining, and manufacturing that require continuous, high‑accuracy gas monitoring for leak prevention and regulatory compliance.
Features
- Matrix‑SAW™ multi‑gas sensor capable of simultaneous detection of 10+ gases (CH₄, CO₂, H₂, O₂, CO, H₂S, SO₂, VOCs, NH₃, etc.)
- Edge AI engine that performs on‑device trend analysis and predictive anomaly detection with < 3 s latency
- 95%+ detection accuracy across all target gases
- Battery‑free operation using hybrid vibration and solar energy harvesting for extended deployment
- Compact form factor suitable for wearable, drone‑mountable, or fixed installations
- Long‑range wireless communication for real‑time data transmission and remote monitoring