Decide what the device handles
Anomaly detection, filtering, and classification often belong on the hardware. Less bandwidth, lower latency, and the fleet keeps working when the network does not.


Bridge the physical and digital worlds with our comprehensive technical capabilities. From custom firmware and embedded development to sensor integration, computer vision, and cloud-native AI on AWS, we deliver intelligent solutions that capture, process, and act on real-world data in real-time.
Our team possesses the expertise to seamlessly integrate your existing systems and infrastructure with an IoT system. We ensure secure and reliable communication between devices, enabling the efficient collection and analysis of valuable data.
Scalability, security, reliability, and maintainability are definitely required when designing your IoT solution. Our experienced architects create a robust and future-proofed architecture that can adapt to your organization's growth and evolving needs.
Focus on innovation, not security headaches. Our team has delivered end-to-end IoT security and compliance, from device authentication and encryption to network security and regulatory adherence many times.
Our commitment to quality extends beyond development. We implement a comprehensive test automation strategy to ensure the functionality, performance, and security of your IoT solution throughout its lifecycle.
Maximize the impact of your cameras with our expertise in real-time video solutions. We handle everything from WebRTC implementation to multi-device optimization and AI-powered insights, empowering you to deliver exceptional streaming experiences that drive results.
FreeRTOS
MQTT
AWS IoT Core
AWS Greengrass
ECS
Lambda
AWS S3
AWS RDS
AWS DynamoDB
WebRTC
HOW WE WORK WITH AI
Connected devices generate more data than anyone wants to ship or store. We decide what gets processed on the device and what earns a trip to the cloud.
Anomaly detection, filtering, and classification often belong on the hardware. Less bandwidth, lower latency, and the fleet keeps working when the network does not.
Raw telemetry is expensive at fleet scale. We push aggregation and event detection to the edge so the cloud receives signal rather than volume.
A model on a device is firmware. We ship staged rollouts, rollback, and per-fleet versioning, because a bad update across thousands of units is not recoverable by hand.
Software that reaches globally.