Velora Labs
Velo Labs provides edge AI and computer vision engineering for mission-critical applications in defense, medical devices, and autonomous systems. The company offers co-development partnerships and end-to-end custom development, with expertise in GPS-denied navigation, sensor fusion, and regulatory-compliant pipelines including FDA-cleared systems. Their engineering team has production experience across NVIDIA Jetson, Qualcomm Snapdragon, and ARM Cortex platforms.
- Artificial Intelligence
- Defense Tech
- Medical Devices
- Healthcare Technology
- Hardware
Funding
Founders
Founder details are not available yet.
Product
Problem
Mission-critical systems in defense, medical, and autonomous applications require computer vision capabilities that must operate reliably in constrained environments where conventional approaches fail. Organizations face challenges with GPS-denied navigation, real-time edge processing on size- and power-limited hardware, and navigating complex regulatory requirements for safety-critical deployments.
Solution
Velora Labs delivers edge AI and computer vision solutions through two engagement models: co-development partnerships and end-to-end custom engineering. The company brings deep technical expertise in GPS-denied navigation, sensor fusion, and edge AI optimization to complement client teams or handle full development from proof-of-concept to production. With a track record of building FDA-cleared surgical imaging systems and defense-grade algorithms, Velora applies rigorous, safety-critical engineering discipline across all projects. Their deployment expertise spans edge, cloud, and hybrid platforms, with hands-on production experience across NVIDIA Jetson, Qualcomm Snapdragon, and ARM Cortex ecosystems.
Target Audience
Primary customers are defense contractors, camera OEMs, medical device teams, and autonomy developers tackling hard computer vision problems at the edge, including robotics companies needing GPS-denied navigation and sensor fusion expertise.
Features
- GPS-denied navigation using visual-inertial odometry and terrain-relative navigation
- Multi-sensor fusion integrating EO/IR, radar, IMU, camera, and LiDAR data for robust perception
- Edge AI optimization for real-time inference on SWaP-constrained platforms
- FDA-cleared track record in surgical imaging with real-time intraoperative processing
- Regulatory pathway expertise covering FDA and defense standards
- Velflow framework for structured computer vision development
- ONVIF-compatible edge deployment for security and surveillance applications
- Patent strategy and prosecution experience in neural network processing