Services
Internet of things
Enterprise software engineering across frontend, backend, and full-stack systems—built for scalability, security, and long-term maintainability.
IoT Development for Startups
Build smart, connected products with scalable IoT platforms designed for rapid innovation and growth.
We help startups move from prototype to production-ready IoT systems—secure, scalable, and data-driven from day one.
Startup IoT Service
IoT MVP & Prototype Development
- Validate connected product ideas quickly
- Sensor integration and device connectivity
- Rapid prototyping and PoC development
- Cloud-ready architecture
Technology Stack:
- Embedded C/C++
- Python
- MQTT
- HTTP
- AWS IoT / Azure IoT / GCP IoT
- Node.js
- React
Device Connectivity & Firmware Integration
- Reliable device-to-cloud communication
- Firmware integration and device provisioning
- Secure device onboarding
- Real-time data ingestion
Technology Stack:
- ESP32
- Raspberry Pi
- Embedded C
- Python
- MQTT
- CoAP
- REST
IoT Platform & Dashboard Development
- Visualize and manage IoT data
- Real-time dashboards
- Device management portals
- Alerts and monitoring
Technology Stack:
- React
- Next.js
- Node.js
- Python
- Time-series databases (InfluxDB)
Scalable IoT Architecture for Growth
- Prepare for scale and production
- Multi-device scalability
- Cloud-native backend
- Secure data pipelines
Technology Stack:
- AWS
- Azure
- GCP
- Docker
- Serverless
- PostgreSQL
- Redis
Startup IoT Use Cases
- Smart consumer devices
- Health-tech wearables
- Environmental monitoring solutions
- Smart home and automation products
Why Startups Choose Us
- Faster product validation
- Production-ready IoT foundations
- Cost-efficient scaling strategies
- Cloud and hardware expertise under one roof
Enterprise IoT Solutions
Secure, scalable, and resilient IoT systems built for large-scale, mission-critical environments.
We design and implement enterprise-grade IoT platforms that enable operational efficiency, predictive insights, and data-driven decision-making.
Enterprise IoT Service
Enterprise IoT Architecture & Strategy
- Build IoT systems that scale and comply
- End-to-end IoT architecture design
- Multi-region and high-availability setups
- Compliance and governance alignment
Technology Stack:
- AWS IoT Core
- Azure IoT Hub
- Kafka
- Event Streaming
- Enterprise Cloud Platforms
Industrial IoT (IIoT) Systems
- Optimize industrial operations
- Machine and sensor integration
- Real-time telemetry and monitoring
- Predictive maintenance systems
Technology Stack:
- OPC-UA
- MQTT
- Java
- Python
- Time-series databases
IoT Data Platforms & Analytics
- Turn IoT data into business intelligence
- Data ingestion and processing pipelines
- Real-time and historical analytics
- AI/ML-ready data models
Technology Stack:
- Python
- Spark
- AWS Glue
- BigQuery
- Elasticsearch
- InfluxDB
Device Management & Security
- Secure and manage devices at scale
- Device lifecycle management
- Secure authentication and encryption
- OTA updates and access control
Technology Stack:
- IAM
- PKI
- AWS IoT Device Defender
- Secure key management systems
IoT Modernization & Integration
- Upgrade legacy IoT systems
- Legacy sensor integration
- Platform migration and re-architecture
- ERP, CRM, and enterprise system integration
Technology Stack:
- Java
- .NET
- Node.js
- REST
- Kafka
- Enterprise middleware
Enterprise IoT Use Cases
- Smart manufacturing and factories
- Energy and utility monitoring
- Healthcare device integration
- Fleet and asset tracking
- Smart cities and infrastructure
Why Startups Choose Us
- Proven enterprise-scale IoT delivery
- Security and compliance by design
- Reliable, fault-tolerant architectures
- Long-term support and platform evolution
IoT + AI/ML
Move beyond data collection. Transform IoT data into predictive, automated, and self-optimizing systems using AI and Machine Learning.
We combine IoT and AI/ML to help organizations predict outcomes, automate decisions, and unlock deeper operational intelligence—turning raw sensor data into actionable business insights.
IoT + AI/ML Capability
Predictive Analytics & Forecasting
Purpose: Anticipate issues before they occur
- Predict equipment failures
- Forecast demand and usage patterns
- Reduce downtime and operational risk
Technology Stack:
- Python
- TensorFlow
- PyTorch
- Time-series ML models
- AWS SageMaker
- Azure ML
Predictive Maintenance Systems
Purpose: Shift from reactive to proactive maintenance
- Anomaly detection on sensor data
- Asset health scoring
- Maintenance automation triggers
Technology Stack:
- Python
- Scikit-learn
- IoT Streams + ML Pipelines
- Kafka
- AWS IoT Analytics
Real-Time Intelligence & Automation
Purpose: Enable instant, data-driven decisions
- Real-time anomaly detection
- Automated alerts and actions
- Event-driven decision engines
Technology Stack:
- Streaming ML (Kafka, Spark)
- Serverless Functions
- Edge + Cloud inference
Edge AI for IoT
Devices
Purpose: Intelligence closer to the device
- On-device inference
- Reduced latency and bandwidth usage
- Offline intelligence
Technology Stack:
- Edge ML (TensorFlow Lite)
- Embedded Linux
- NVIDIA Jetson
- ARM-based devices
IoT + AI/ML Use Cases
Smart
Manufacturing
AI-powered quality inspection, predictive maintenance, and production optimization.
Energy &
Utilities
Demand forecasting, fault detection, and consumption optimization.
Healthcare &
Wearables
Health monitoring, anomaly detection, and personalized insights.
Smart Cities &
Infrastructure
Traffic optimization, surveillance intelligence, and resource management
Logistics &
Fleet Intelligence
Route optimization, asset tracking, and predictive maintenance.
Startup vs Enterprise Angle
Startup Focus
- Rapid AI model experimentation
- MVPs combining IoT + AI insights
- Scalable ML pipelines from day one
Enterprise Focus
- Production-grade ML pipelines
- Governance, explainability, and monitoring
- Large-scale data ingestion and model lifecycle management
Technology Stack
Build Intelligent, Data-Driven IoT Systems
Combine IoT and AI to unlock predictive insights, automation, and competitive advantage.