TurbineOne is a San Francisco-based developer of a defense technology management platform. The company's platform offers "federated learning across drones" (known as "Drone Dreaming"), sensor fusion development, video communication, and machine learning. These solutions work to increase the resources available to a drone without requiring additional storage, weight, or deployment infrastructure.
Drone dreaming and federated networks
TurbineOne's Drone Dreaming delivers federated learning across drones, improving the drones performance on each mission. It provides this functionality in environments where Internet connectivity is unavailable or limited. When a drone is at rest, Drone Dreaming takes advantage of its on-board processing power to handle intensive data-processing tasks. This is based on multi-node command and control, ad hoc wireless mesh-network, data engineering, and machine learning technologies and models.
Sensor Fusion and Development
TurbineOne's Sensor Fusion and Development works to create new capabilities with low startup cost and with a rapid prototyping process. It has designed and developed communication protocols, materials simulations, and networks and machine learning compute solutions for robotics, smart buildings, and autonomous vehicles.
Secure Web and Video Communications
TurbineOne has worked to develop a Secure Communications solution offering a hardened video-conference capability with reduced communications vulnerability. TurbineOne's software claims to verify all hardware and software of a communication device to ensure its security and encryption. And through its system, each member of the communication is intended to be vetted in a human process.
Data and Machine Learning
TurbineOne's Data and Machine Learning solution works on statistical model building and predictive technology. This solution offers alert generation, custom categorization, and secure redaction through large data acquisition streams and technologies and works to build the feeds into data science models. Their capability areas include:
- Massive-scale data tagging and labelling
- Digital automation
- Dynamic model tuning
- Object detection
- Natural language processing
- Predictive models
- Generative models
Co-founder and CEO
Co-founder and CTO
Co-founder and COO