Predictive monitoring in operationFleet AI OS is a predictive safety operating system for electric and purpose-built vehicle fleets. Proven over 4.5 million accident-free kilometers.
CAMVER began by operating its own fleet of electric and purpose-built vehicles. Managing 145 vehicles across 4.5 million kilometers over six years, we ran into the limits of conventional fleet systems every day: they tracked location and raised alarms only after something had already gone wrong.
Fleet AI OS was built to close that gap. Every model, every threshold, and every interface decision comes from six years of real operational experience — not from a laboratory. Today CAMVER delivers that intelligence as a cloud platform for organizations responsible for mobility safety.
CAMVER Inc. · Founded December 2019 · Seoul, Republic of Korea
CAMVER-operated EV & PBV fleetA plug-in OBD2 telematics device streams vehicle-bus and GNSS data over LTE, alongside onboard IoT sensors and in-vehicle cameras.
Plug-in OBD2 telematics deviceOur proprietary AI engine interprets twelve synchronized sensor channels as one behavioral model, detecting the subtle deviations that precede failures such as battery thermal runaway.
Fleet AI OS — risk monitorEverything becomes a single 0–100 Fleet Risk Index. Automated alerts fire above 70; above 85 the vehicle is flagged at the highest severity for immediate response — hazard judgment in 0.18 seconds.
Instead of hundreds of raw parameters across multiple screens, Fleet AI OS presents one intuitive 0–100 index with color-coded severity — so a small team can supervise hundreds of vehicles at a glance.
From corporate welfare vehicles to public service fleets, Fleet AI OS applies the same predictive safety layer wherever mobility operations need to be accountable.
Integrated management of employee welfare vehicles — reservations, customer service, and maintenance in one system.
Standardized operation of worker shelters, public PBVs, and special-purpose vehicles.
Idle purpose-built vehicles turned into safely shareable, monitored assets.
Human experience converted into data, then into a safer mobility experience.
Garage, car wash, charging, inspection, and supply management — fully digitized.
Campsites, attractions, and local content connected through mobility data.
Multi-layered AI models, combined with AI vision cross-verification of flame, smoke, and abnormal motion, learn each vehicle's evolving behavior — achieving 100% KTCC-certified fire-anomaly accuracy with a 0.18-second hazard judgment time and 99.925% platform uptime.
The engine learns from fleets CAMVER operates itself: 145 vehicles, 4.5 million accident-free kilometers, 90,000 users, and 30,000 trips over six years — intelligence no laboratory dataset can reproduce.
Prediction, decision support, automated alerts, and remote vehicle control in one workflow — 0.81-second actuation response at 99.94% accuracy.
| Fire-anomaly detection accuracy | 100% (KTCC-certified) |
| Hazard judgment time | 0.18 seconds |
| Remote-control response | 0.81 seconds |
| Remote actuation accuracy | 99.94% |
| Platform uptime | 99.925% |
| Platform error rate | 0% |
CAMVER announced Fleet AI OS, a predictive safety platform designed to identify EV battery hazards before they happen. The launch release introduces an integrated approach to vehicle data, risk prediction and earlier intervention.
Read on ABC12
The same launch press release was published on the following six U.S. news sites.
Over 20 years in IT platform development and mobility business, with 500+ applications and platforms brought to market. Led CAMVER's fleet operations, AI safety-control system design, and regulatory sandbox program. M.A., Hongik University.
A team of 8, with 3 AI engineers joining in 2026.
Tell us about your fleet and we'll show you what Fleet AI OS sees before an incident happens.
CAMVER Inc.
Seoul, Republic of Korea
camver2020@naver.com
