AI Solutions for IoT & Edge Computing
Deploy intelligent edge AI, predictive maintenance models, thermal vision analytics, and real-time sensor processing across connected devices.
Bring autonomous intelligence directly to the edge. Varixen designs IoT & Edge AI architectures—from predictive maintenance models running on microcontrollers to edge vision analytics for connected industrial hardware, smart cities, and robotics.
INDUSTRY OUTCOMES
<10ms
On-Device Inference
100%
Offline Operational Capability
65%
Lower Cloud Bandwidth Costs
Operational friction we eliminate
High Cloud Bandwidth Costs
Streaming raw video and 1000Hz sensor telemetry to cloud servers generates massive bandwidth bills.
Intermittent Connectivity
Remote industrial sites, ships, and agricultural equipment lack reliable high-speed internet.
Unplanned Equipment Downtime
Unexpected machine failures cause millions in lost daily production output.
Specialized capabilities built for AI Solutions for IoT & Edge Computing
On-Device Edge Vision Analytics
Run object detection and safety monitoring directly on NVIDIA Jetson or Raspberry Pi hardware.
Predictive Equipment Maintenance
Analyze vibration, acoustic, and temperature sensors to predict bearing and motor failures.
Smart Building & Energy Optimization
Optimize HVAC, lighting, and power distribution dynamically based on occupancy patterns.
Edge Anomaly Detection for Robotics
Sub-10ms anomaly detection preventing robotic arm collisions and operational jams.
Model Quantization & Pruning
Compress 500MB neural networks into lightweight 5MB TinyML models suitable for ARM chips.
Over-The-Air (OTA) Model Deployment
Securely push updated model weights to thousands of connected IoT devices over-the-air.
Deployment methodology
Edge Sensor Ingestion
Capture Modbus, CAN-bus, MQTT, or RTSP camera feeds into local C++ edge runtime memory.
TinyML / TensorRT Inference
Execute quantized models on local ARM Cortex / NVIDIA Jetson hardware without cloud round-trips.
Local Alert & Actuator Relay
Trigger immediate PLC stop signals or local alarm buzzers in sub-5ms when anomalies are detected.
Compressed Cloud Sync & OTA
Transmit summarized health metrics to central cloud dashboards and receive OTA model weight updates.
Integrations & technologies
Edge Hardware
Frameworks & Compilers
Protocols & IoT
Enterprise success story
The Challenge
Offshore wind turbines experienced gearbox failures with zero cloud internet connectivity available.
The AI Solution
Deployed on-device TinyML vibration analysis models alerting local maintenance teams 3 weeks early.
Frequently asked questions
Can your Edge AI models run without any internet connection?
Yes. Our edge models execute 100% locally on on-device hardware (NVIDIA Jetson, ARM chips), ensuring uninterrupted operational reliability even in total internet blackouts.
How do you update models on thousands of remote IoT devices?
We implement secure Over-The-Air (OTA) MLOps pipelines (using AWS IoT Greengrass or Azure IoT Edge) that package and push compressed model weight updates to remote fleets safely.
EXPLORE OTHER INDUSTRY VERTICALS
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