
Full-stack IoT Cloud Engineering
Multi-cloud orchestration across AWS, Azure, and GCP. Decoupled microservices in Java, C/C++, and Python. Serverless, event-driven workloads tuned for cost and performance.

Connected products live or die on the strength of the platform behind them. A weak cloud backbone, an over-permissive security model, or a sluggish mobile experience can sink a category-defining device. TechWish handles the entire Internet of Things (IoT) platform layer — multi-cloud orchestration, zero-trust security, AI-driven automation, mobile and web interfaces, and edge gateway architecture — so product and engineering leaders can focus on the device itself.
We work with CPOs, VP Product, VP Engineering, and technical founders at companies building smart home, home security, consumer electronics, and light industrial IoT products. Our engineers ship platforms that can scale to millions of devices and stand up to enterprise security review.

Multi-cloud orchestration across AWS, Azure, and GCP. Decoupled microservices in Java, C/C++, and Python. Serverless, event-driven workloads tuned for cost and performance.

Local gateways and edge runtimes that handle real-time processing, offline reliability, and seamless interoperability across Zigbee, Z-Wave, Matter, and Bluetooth Mesh.

ML models for anomaly detection and preventive maintenance, NLP integrations with Alexa, Google Assistant, and Siri, and behavioral models that can learn user routines.

Zero-trust IAM with Keycloak and OAuth2, X.509 device authentication, and automated compliance scanning across CI/CD pipelines for GDPR and ISO 27001 readiness.

Cross-platform mobile apps in Flutter or React Native, real-time React/Angular admin dashboards, and low-latency video via WebRTC and RTSP.

CI/CD with Jenkins and GitLab, IaC with Terraform and Ansible, and centralized observability via CloudWatch, ELK, Prometheus, and OpenTelemetry.

A cloud-agnostic, enterprise-ready IoT backbone. Multi-cloud across AWS/Azure/GCP, API-first microservices, baked-in zero-trust security via APISIX and Keycloak, and ready-to-use OTA and 3rd-party assistant integrations.

A physical-to-physical automated testing rig. Mechanical actuators interact with the mobile app UI on real phones, while integrated sensors verify the hardware responses — capturing real-world response time, not server-log latency.

An LLM-based assistant that maps conversational English directly into JSON automation rules — replacing complex IF-THEN configuration menus and accelerating smart UX delivery.

A pre-trained ML framework that analyses historical device usage to generate "One-Tap" lifestyle automations — raising user engagement and energy efficiency without bespoke algorithm work.
From device connectivity and edge control to cloud platforms and user apps, we engineer complete IoT ecosystems.
IoT architects, cloud engineers, AI specialists, and security experts work in one synchronized delivery model.
Shared ownership across teams reduces handoff delays, accelerates releases, and improves operational visibility.