IoT circuit board with sensors and embedded components
Cognitive IoT Platform for Sensor & Device Companies

Turn your sensors into
intelligent products.

You build the hardware. We add the brain. Akran IQ gives electronics and embedded device companies a ready-made platform to connect sensors to cloud, run edge AI inference, and ship smart products to market faster.

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Protocols Supported

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Edge Inference Latency

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Cloud Cost Reduction

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Weeks to Production

Everything between your sensor and a smart product

You design the electronics. We provide the firmware, cloud platform, AI models, and managed infrastructure to turn your hardware into an intelligent connected product.

Firmware & Edge SDK

Drop-in firmware libraries for ESP32, STM32, Raspberry Pi, and custom ARM boards. Connect your sensors to cloud in hours, not months.

On-Device AI Models

We train and deploy TinyML models on your hardware for anomaly detection, predictive maintenance, and pattern classification at the edge.

Cloud Platform & APIs

Managed cloud on AWS or Azure with MQTT ingestion, REST APIs, time-series storage, and real-time dashboards. Your devices connect, we handle the rest.

Security & Compliance

Mutual TLS, secure boot, signed OTA updates, and EU Cyber Resilience Act readiness built into every deployment.

Managed Operations

We run the platform so you can focus on building hardware. Firmware updates, device health monitoring, cloud scaling, all handled.

Who we build for

Whether you make sensors, run factories, or operate EV fleets, we provide the software and AI layer that turns your hardware into an intelligent system.

Sensor & Device Manufacturers

Sensor & Device Manufacturers

You make sensors, meters, or embedded devices. Your customers are asking for cloud connectivity, dashboards, and AI features. We add the intelligence layer so you ship a smart product, not just hardware.

What we deliver:

  • Firmware SDK for ESP32, STM32, ARM Cortex, and custom silicon
  • MQTT, Modbus, CAN bus, and RS485 protocol bridges
  • On-device ML models for anomaly detection and classification
  • White-label cloud dashboard for your end customers
  • EU Cyber Resilience Act compliance and secure OTA updates
Sensor Integration Details
Factory & Plant Operators

Factory & Plant Operators

You run a factory or process plant. You have legacy machines, analog sensors, and RS485 devices. You need real-time visibility, predictive maintenance, and energy monitoring without ripping out your existing infrastructure.

What we deliver:

  • Retrofit legacy RS485 and Modbus sensors with MQTT bridges
  • AI-powered predictive maintenance for pumps, motors, and compressors
  • Real-time OEE dashboards with downtime tracking
  • Energy monitoring and BEE/CPCB compliance reporting
  • Edge AI inference for quality inspection and anomaly detection
Industrial IoT Details
EV OEMs & Fleet Operators

EV OEMs & Fleet Operators

You build or operate electric vehicles. You need telematics beyond GPS: battery health monitoring, self-diagnostic AI, and predictive maintenance to cut warranty costs and improve uptime.

What we deliver:

  • CAN bus integration for BMS, motor controller, and brake data
  • Self-diagnostic AI for motor temperature and battery cell imbalance
  • Real-time fleet dashboard with SoC, health scores, and geofencing
  • Smart charging schedules to reduce electricity costs
  • Predictive warranty alerts that prevent costly replacements
EV Telematics Details

The platform your devices deserve

Stop building cloud infrastructure from scratch. Plug your sensors into Akran IQ and get device management, analytics, AI, and dashboards out of the box.

Device Management

Zero-touch provisioning, OTA firmware updates, and remote configuration for millions of devices. Supports custom hardware, off-the-shelf sensors, and gateways.

Any device, any scale

Real-Time Analytics

Sub-second dashboards for sensor telemetry, device health, and fleet-wide trends. White-label ready for your customers.

< 200ms latency

Cloud + Edge Hybrid

Run AI models at the edge for instant decisions. Sync summaries to AWS IoT Core or Azure IoT Hub for fleet intelligence.

Edge AI + Cloud

Predictive Maintenance

On-device ML models for vibration analysis, thermal profiling, and remaining life estimation. Trained on your specific equipment.

2-6 week early warning

Multi-Channel Alerts

Configurable rules engine with SMS, WhatsApp, email, and webhook notifications. Auto-escalation for unacknowledged events.

SMS + WhatsApp + Email

Multi-Protocol Support

MQTT, CAN bus, RS485/Modbus, OPC UA, LoRaWAN, and OBD-II. Connect legacy machines alongside modern sensors on one platform.

6+ protocols native

From bare sensor to smart product in weeks

No 6-month development cycles. No hiring a cloud team. Here is how a typical engagement works.

01

Share your hardware specs

Tell us what sensors or devices you build, which protocols they use, and what intelligence you want to add. We assess and propose.

02

We integrate and deploy

We write the firmware, set up cloud infrastructure, train AI models for your use case, and get your first devices connected. Typical timeline: 3 to 4 weeks.

03

You ship smart products

Your devices are now intelligent. Your customers get dashboards and alerts. We handle updates, scaling, and operations so you focus on building hardware.

Ready to make your sensors intelligent?

Talk to Our Engineers