The company builds AI‑powered drones capable of both aerial flight and underwater operation, enabling autonomous exploration and data collection in diverse environments. It also develops a 1U CubeSat platform slated for launch by 2027, designed to run commercial AI workloads in orbit, extending edge‑AI capabilities to space.
Funding
Funding not disclosed
Founders
Product
Problem
Collecting high‑resolution sensor data in hard‑to‑reach aerial and underwater environments often requires separate platforms, manual operation, and extensive post‑processing, limiting the speed and cost‑effectiveness of monitoring and research missions. Similarly, deploying AI workloads in orbit currently relies on large, expensive satellites, restricting edge‑AI capabilities for commercial and scientific users.
Solution
Trontechlabs offers an integrated AI‑driven drone capable of seamless transition between flight and submerged operation, enabling autonomous, real‑time data acquisition across air and water domains. The drone’s onboard AI processes sensor inputs on the edge, reducing bandwidth needs and delivering actionable insights instantly. In parallel, the company is developing a 1U CubeSat platform scheduled for launch in 2027 that runs commercial AI applications in orbit, extending edge‑AI processing to space‑based assets. Together, these systems provide end‑to‑end, AI‑enabled sensing and analytics for remote monitoring, scientific exploration, and commercial use cases without the need for multiple specialized vehicles.
Target Audience
Primary customers include environmental monitoring agencies, marine and aerospace research institutions, and commercial enterprises that require autonomous, AI‑enhanced data collection across aerial, underwater, and space environments.
Features
- Dual‑mode air and underwater propulsion with a single airframe for versatile deployment
- Onboard AI inference engine for real‑time object detection, mapping, and anomaly identification
- Integrated multi‑spectral cameras, sonar, and environmental sensors for comprehensive data capture
- Autonomous mission planning and obstacle avoidance using machine‑learning navigation algorithms
- 1U CubeSat architecture designed to host commercial AI workloads, supporting inference and model updates in orbit
- Space‑qualified radiation‑hardened compute module compatible with standard CubeSat bus interfaces
- Cloud‑connected data pipeline that streams processed insights from both drone and satellite to user dashboards