OrbitByte Labs bridges smart edge devices with neural networks to deliver real-time telemetry, predictive analytics, and autonomous enterprise orchestration.
A unified stack designed for massive device concurrency and sub-millisecond AI decision loops.
Lightweight containerized agents deployed on microcontrollers and embedded linux gateways for instant local processing.
Self-healing, zero-trust MQTT & CoAP data pipelines ensuring continuous connectivity even in intermittent environments.
Centralized AI orchestration that ingests high-frequency telemetry to trigger automated operational responses.
Toggle sensor telemetry modes below and observe the AI inference engine adapt in real-time.
Engineered to handle critical enterprise workloads with modular scalability.
Execute quantized machine learning models directly on ARM/RISC-V edge hardware with zero cloud latency dependencies.
Resilient node-to-node topology that guarantees data delivery over cellular, LoRaWAN, and industrial ethernet networks.
High-throughput time-series ingestion capable of processing billions of sensor data points daily with instant query speeds.
End-to-end bespoke enterprise software built to automate legacy industrial machinery and smart grid setups.
Adjust your deployment parameters to calculate expected edge performance metrics.
"OrbitByte Labs cut our unplanned downtime by 42% in the first quarter through their edge-based vibration telemetry models."
"Managing 50,000 solar nodes became seamless. Their mesh network handles intermittent cellular connection without dropping a single packet."
"The zero-trust edge kernel allowed us to meet strict HIPAA regulations while analyzing real-time patient telemetry on device."
Connect with our AI & IoT solution architects to discuss your infrastructure needs.