- Serving Clients Globally
- +91 9599388970 (India)
- info@rannlab.com
Build intelligent IoT systems with AI-powered edge computing. From smart devices to industrial IoT, predictive maintenance, and real-time analytics, we create connected solutions that learn and adapt. Expert in AWS IoT, Azure IoT, TensorFlow Lite, and edge AI deployment.
Deploy AI models on edge devices with TensorFlow Lite, ONNX, and custom optimizations. Real-time inference without cloud dependency.
MQTT, CoAP, LoRaWAN, Zigbee, BLE, and custom protocols. Connect any device to any platform with reliable communication.
End-to-end encryption, secure boot, OTA updates, and device authentication. Protect against cyber threats and unauthorized access.
Process sensor data in real-time with stream processing, anomaly detection, and predictive analytics. Make decisions in milliseconds.
AI-powered failure prediction, condition monitoring, and automated alerts. Reduce downtime by 40% and maintenance costs by 30%.
Handle millions of devices with cloud-native IoT platforms. Auto-scaling, load balancing, and global distribution.
Manufacturing plant experienced frequent equipment failures causing $2M annual downtime costs.
Reduction in unplanned downtime
Lower maintenance costs
Failure prediction accuracy
ROI achievement timeline
Full-time IoT engineers and AI specialists
Well-defined IoT projects with clear deliverables
Strategic guidance on IoT architecture
IoT (Internet of Things) covers consumer devices like smart homes. IIoT (Industrial IoT) focuses on manufacturing, energy, and industrial applications with higher reliability, security, and real-time requirements.
We implement device authentication (X.509 certificates), end-to-end encryption (TLS), secure boot, OTA updates, and regular security audits. All data is encrypted in transit and at rest.
Yes, we deploy optimized AI models using TensorFlow Lite, ONNX Runtime, and quantization techniques. Models run on devices like Raspberry Pi, ESP32, and NVIDIA Jetson with real-time inference.
Simple IoT device ($30K-$60K), Industrial IoT system ($100K-$250K), Enterprise IoT platform ($250K-$500K+). Costs include hardware, firmware, cloud platform, and AI models.
Proof of concept (6-8 weeks), Production device (12-16 weeks), Enterprise IoT platform (20-28 weeks). Timeline includes hardware design, firmware, cloud platform, and testing.
Every solution RannLab delivers is developed under a rigorous Secure Software Development Lifecycle (SDLC) — with mandatory code quality gates, AI code governance, security reviews at every phase, and zero-tolerance policies for critical vulnerabilities. This is not a checklist — it is the standard by which all our software is built.
Threat modelling, SAST/DAST scanning, and security reviews built into every sprint.
Automated quality gates block deployments that fail coverage, complexity, or duplication thresholds.
All AI-assisted code is reviewed, tested, and validated before it enters the codebase.
Every change is tracked, reviewed, and deployed through automated, auditable pipelines.
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