We design Vision AI platforms that bring real-time perception, inference, and intelligence to embedded and edge environments — from silicon to deployment.
Seyonova ET is a deep-tech company architecting end-to-end perception platforms — uniting image sensing, edge compute, and embedded software into systems built for low-latency, real-time AI vision.
Our hardware heritage from VM Technologies gives us a rare moat: the ability to design across silicon, firmware, and AI models — not assemble them from someone else's parts.
Sensor → ISP → AI → firmware → deployment, designed in-house.
Compact, low-power AI engineered to run on the device itself.
Built around intelligent video analytics and real-time perception.
Reference systems engineered for scalable field deployment.
To build trustworthy, scalable Vision AI systems that bring real-time perception to every edge device — positioning India as a leader in sovereign, embedded AI infrastructure.
To engineer end-to-end edge vision platforms — from image sensor to AI inference — optimized for low latency, reliability, and intelligent video analytics in industrial, defence, and autonomous environments.
Round-trips to the cloud delay time-critical detection and decisions.
Streaming continuous HD/4K video saturates networks at scale.
Connectivity loss disrupts analytics in remote or mobile deployments.
Transmitting raw footage offsite raises security and compliance risk.
A designed, end-to-end Vision AI system that moves perception to the edge — capturing, processing, and interpreting visual data in real time, on the device. One cohesive reference architecture engineered for scalable deployment.
4K sensing with AI-grade fidelity, captured at the source.
Accelerated inference on embedded silicon, no offload required.
Detection, tracking & classification, on-stream.
Coordinated analytics across full camera arrays.
Models tuned precisely for power & thermal limits.
Low-latency perception, resolved at the sensor.
No encoding required — the raw analytics path preserves full image fidelity for the AI model.
Direct sensor-to-inference path ensures the fastest route from capture to decision.
Processing uncompressed data lets models detect features lost in encoded streams.
Local AI keeps perception running independent of network connectivity.
Built around NVIDIA Jetson-class compute — selected per deployment by required TOPS, camera count, and analytics complexity.
A compact edge compute platform engineered to run vision and language AI models locally — built for drones, robotics, and field deployments where cloud connectivity is unavailable or unacceptable.
Vision, language, and translation models run simultaneously on a single device — fusing perception with reasoning in one inference pass, closing the autonomy loop locally.
Detection, tracking & scene understanding.
28–30 msReasoning & command interpretation.
10–12 msMultilingual command processing.
Real-time15–35× faster — closes the autonomy loop on-device.
Sensor selection prioritizes AI-grade clarity, low-light performance, and long product lifecycle — sourced from established tier-1 manufacturers for supply-chain assurance.
Precision Optics — Industrial machine-vision lenses · Fixed & varifocal · Low-distortion glass
Driver integration and tuning for AE, AWB, and noise reduction.
High-performance GStreamer and RTSP streaming implementation.
Optimized deployment of inference models onto edge compute.
ONVIF compliance and custom web UI for device management.
Secure over-the-air mechanisms for full lifecycle management.
Real-time diagnostics and proactive system health tracking.
A disciplined progression ensuring quality and performance at every milestone.
Sensor selection and evaluation
Pipeline & image tuning
Model deployment & optimization
Custom PCB & enclosure
Prototype & field testing
Production release
Intelligent threat detection, perimeter monitoring & defence-grade analytics.
Automated quality control, defect detection & process vision.
On-board vision for autonomous navigation & manipulation.
Low-latency payload analytics for surveillance & mapping.
Traffic, crowd & city-scale monitoring at the edge.
Driver-grade sensing with GMSL multi-camera reliability.
~250 active companies · clear pain · short sales cycle · path to defence & industrial
Existing edge AI hardware ships as developer kits — carrier boards that still require external compute, integration, and software to reach the field. Our platform is designed to close that gap.
Quantisation, scheduling & OTA tuned for multi-model concurrency.
Thermal, power & silicon-level integration — not a carrier board.
Production-grade for drones & robotics out of the box.
Vision AI Systems · Edge Intelligence · Embedded Perception
+91 87785 74689