A Physical AI startup delivers deep‑tech cyber‑physical solutions that blend digital engineering, embedded systems, and sustainability. Its platform provides energy and carbon‑footprint optimization, predictive maintenance, and prescriptive servitization, while leveraging agentic AI, machine vision, and SLAM for spatial intelligence applications.
Funding
Funding not disclosed
Founders
Product
Problem
Industrial and commercial operations often lack integrated, real‑time intelligence to optimize energy use, predict equipment failures, and ensure safety, leading to higher costs, increased carbon emissions, and operational downtime.
Solution
Omnimac provides a physical‑AI platform that combines digital engineering, embedded systems, and advanced sensing to deliver cyber‑physical intelligence for industrial environments. The platform fuses data from radar, lidar, sonar, X‑ray, thermal and other sensors, applying agentic AI, machine vision, and SLAM to generate spatial awareness and actionable insights. Energy consumption, production efficiency, and carbon footprints are continuously optimized through predictive maintenance algorithms and prescriptive servitization recommendations. Hardware‑accelerated FPGA modules enable fast cryptographic and logic processing for secure, low‑latency decision making. The same technology stack supports autonomous robots, drones, and anti‑drone systems for enhanced operational safety and security.
Target Audience
Primary customers are manufacturers, energy producers, logistics firms, and infrastructure operators that require advanced sensing, AI‑driven optimization, and secure autonomous systems for their facilities and field operations.
Features
- Multi‑sensor fusion (radar, lidar, sonar, X‑ray, thermal) for robust perception and spatial intelligence
- Agentic AI combined with machine vision and SLAM to create real‑time 3D mapping and context‑aware analytics
- FPGA‑based hardware acceleration for cryptographic functions and high‑throughput logic processing
- Predictive maintenance models that forecast equipment failures and recommend corrective actions
- Energy, production, and carbon‑footprint optimization tools that deliver prescriptive recommendations for sustainability
- Integrated autonomous robot and drone applications for inspection, material handling, and operational automation
- Counter‑UAS (anti‑drone) capabilities for airspace security and threat mitigation