Sensing the Unseen,
Empowered by AI.
Improving edge AI performance through multimodal signal fusion, enabling applications across smart cockpits, autonomous vehicles, smart city governance, and industrial domains.
Improving edge AI performance through multimodal signal fusion, enabling applications across smart cockpits, autonomous vehicles, smart city governance, and industrial domains.
We design edge AI chips that bring acoustic intelligence to vehicles, trains, factories, and public spaces. Our technology processes sound, vision, and environmental data in real-time—no cloud required.
Custom silicon that runs AI models locally—under 10W power, sub-10ms latency. No internet needed.
Fuses sound, vision, and sensor data into one intelligent system. Sees, hears, and understands context.
Delivers real-time processing—no cloud dependency, no latency, maximum efficiency.
Our multi-modal AI solutions deliver measurable impact across automotive, transportation, industrial, and public safety applications.
Tailoring the cabin experience through intelligent sensing and active noise control to ensure ultimate occupant comfort.
Integrated AI inference and control in a single SoC, supporting multi-modal sensor fusion for real-time decision-making.
Deploy AI chips and acoustic devices for real-time abnormal sound detection, enabling proactive maintenance.
AI-driven active noise cancellation targets wheel-rail friction and structural resonance for superior passenger experience.
Multi-modal AI fusion identifies earthquakes, gas leaks, explosions, or abnormal crowd movements in real-time.
Bridging industry expertise with academic research to drive continuous innovation.
Discover how SteadyBeat’s multi-modal AI solutions can solve your most challenging problems.