End-to-End IoT Development Services - From Device to Cloud

Yalantis delivers end-to-end IoT solutions that cover the full product lifecycle – from embedded hardware design and firmware development, to secure connectivity, cloud platforms, and AI-powered analytics. We design and deliver scalable, production-ready IoT ecosystems, fully integrated with AWS services to collect, process, analyze, and act on real-time device data across multiple industries.

Embedded & Firmware Development

• Development of embedded systems and firmware for custom devices using Rust, C, and C++
• Expertise across real-time operating systems (RTOS), low-level optimization, and secure device communication
• Broad protocol support: BLE, Zigbee, LoRaWAN, Wi-Fi, LTE (4G), 5G, NB-IoT
• Seamless integration with AWS IoT Core via device SDKs and secure mutual TLS authentication
• Support for both proprietary hardware and integration with off-the-shelf IoT devices and industrial controllers (PLCs, smart sensors)

Custom IoT Cloud Application Development

• Cloud-native backend development using AWS IoT Core, AWS Lambda, Amazon API Gateway, Amazon DynamoDB, Amazon S3
• Deployment orchestration on containerized services: AWS ECS (Fargate) / Amazon EKS (Kubernetes) for scalable application workloads
• Multi-tenant architecture design, secure multi-device management, and role-based access control
• Fast development of user-facing web and mobile IoT dashboards for real-time monitoring, control, and management
• Event-driven serverless architecture to handle billions of device messages with low latency

AI/ML Development and Edge Intelligence

• Data-driven modeling with Amazon SageMaker for predictive maintenance, anomaly detection, demand forecasting, and pattern recognition
• Full ML lifecycle support: dataset preparation, labeling, model training, optimization, deployment
• Data pipelines for ingesting and transforming IoT telemetry via Amazon Kinesis, AWS Glue, Amazon Timestream
• Real-time AI inferencing on the edge using AWS IoT Greengrass v2, enabling on-device ML execution with cloud sync
• Support for both batch and real-time ML model retraining based on streaming telemetry

Predictive Analytics & Time-Series Insights

• Streaming data pipelines leveraging AWS IoT Core → Amazon Kinesis Data Streams → AWS Lambda → Amazon Timestream → Amazon QuickSight
• Real-time visibility into KPIs (OEE, energy consumption, vibration patterns, equipment uptime, yield optimization)
• Time-series analytics for production line optimization, failure root cause analysis, and resource forecasting
• Customizable executive dashboards for both operational teams and business stakeholders

Integration & Device Interoperability

• Integration with third-party sensors, legacy PLCs, industrial control systems (SCADA/MES/ERP)
• Support for AWS IoT Device Provisioning (fleet onboarding), device certificates, and secure cloud onboarding pipelines
• AWS IoT Core-centric architecture providing centralized device registry, secure message routing (MQTT), device shadow synchronization, and fine-grained policy control
• Built-in integrations with AWS IoT Device Advisor for pre-production device validation

Why Yalantis

With Yalantis, clients gain a full-stack engineering partner capable of delivering robust, secure, and cost-effective AWS-native IoT ecosystems from initial PoC to full-scale industrial deployment. We optimize time-to-market while ensuring long-term maintainability, data-driven insights, and maximum infrastructure efficiency.

Key AWS Services

AWS IoT Core AWS IoT SiteWise AWS IoT Greengrass v2 Amazon SageMaker Amazon Timestream Amazon Kinesis AWS Glue Amazon QuickSight AWS Lambda Amazon API Gateway Amazon DynamoDB Amazon ECS / Amazon EKS (Containers) Amazon S3 Amazon CloudWatch AWS IoT Device Advisor