Graphic representation of data analysis capabilities, not a direct representation of drone use or actual functions. AvaWatz Inc. has an equity crowdfunding campaign on WeFunder and is conducting an offering pursuant to Section 4(a)(6) of the Securities Act. Click the button above to learn more.
AvaWatz has earned the trust of America’s premier security institutions, with research and development funding from the U.S. Air Force, Navy, Army, Department of Homeland Security and other global security organizations. As a recognized leader in collaborative robotics (“cobot”) technology, AvaWatz has unique expertise at the intersection of two rapidly expanding markets: autonomous systems and artificial intelligence
Leading the AI robotics industry with technology co-developed with leading military organizations, we currently have a robust $16M sales pipeline. Our business model currently consists of subscription services (SaaS) with services focused on three areas of market verticals: Inspection & Maintenance, Surveillance, and Safety (Early Warning).
Our military-grade technology is also available and tested across many commercial industries such as:
- Transportation & Aviation
- Hospitality & Entertainment
- Utility
- Safety & Security
- Healthcare
- Consumer Applications such as Caregivers, Daycares, Schools, etc.
Our groundbreaking solutions, ARWEN, HAYA and DARI represent the height of this vision, employing cutting-edge artificial intelligence to revolutionize security across diverse environments. From urban centers to critical transportation hubs or unmapped, harsh terrain, our technologies relentlessly analyze, predict, and neutralize potential risks before they can materialize into threats. We’re not just reacting to danger; we’re actively shaping a safer world for generations to come.
We are committed to proactive defense and unparalleled adaptability. ARWEN, our advanced computer vision system, serves as an ever-watchful guardian in public spaces, processing vast amounts of visual data to identify anomalies and potential security risks in real-time.