Impact Through Technical Innovation
Providing Disruptive Advances in Wireless, Cybersecurity and Artificial Intelligence
Trabus Technologies is a minority-owned, service-disabled veteran-owned small business (SDVOSB) headquartered in San Diego, California. We have been providing key solutions and unparalleled value to the federal government and the private sector since 2010 and have been recognized in the “Inc. 5000” the last six years in a row as one of the 5,000 fastest-growing privately held small companies in the United States.
Our capabilities are widely diversified. From the development of a spectrally-efficient peer-to-peer (SEPP) technology that could revolutionize the wireless industry to engineering support to armed services, TRABUS is committed to solving real-world problems through technical innovation.
- Signal Processing
- Wireless Vulnerability Analysis
- Wireless Networking
- Predictive Analytics
- Resource Optimization
- Enhanced Signal Processing
- Systems Security Engineering
- Cross Domain Solutions
- Assessment & Authorization
- Cyber Experimentation & Demonstration
- Engineering Services
- Program Management & Acquisition Support
- Technical Consulting
The solution for all your industry needs.
A spectrally-efficient peer-to-peer (SEPP) technology that will revolutionize the wireless industry. This innovative technology allows for instant deployment of a communications network that enables simultaneous wireless conversations without reliance on cell towers or wireless infrastructure.
Many small to mid-size companies are not prepared to handle a cyber breach. Our commercial cybersecurity solutions offer a systematic approach to cybersecurity that applies nationally and internationally recognized frameworks to help you protect your systems and networks from cyber threats.
A state-of-the-art information-sharing solution developed for the U.S. inland waterways. Using predictive analytics tools, machine learning and data visualization, the River Information Services Enterprise (RISE) is transforming the river industry into a culture of data-driven decision-making.