About

Background

tinyLab is a small team of senior solutions developers. We bring 20+ years of industrial IoT and data-to-cloud analytics — and apply that same engineering discipline to building AI-native cloud products.

Our heritage spans embedded systems, industrial automation, and cloud software. We've deployed systems in mining operations, on truck fleets, in manufacturing plants, and at remote utility sites — environments that taught us reliability isn't optional: systems must keep working when connectivity drops, when power fails, and when temperatures exceed specification.

Today we apply the same rigour to AI: agentic systems and cloud-native applications that run autonomously in production — not slideware. That rare combination — industrial reliability engineering meeting modern AI and cloud — is exactly what makes an AI system you can trust to operate unattended.

The "tiny" in tinyLab reflects both the edge devices we started with and our lean operating model. No project managers, no account executives — direct communication between you and the engineers building your system.

Technical Stack

• Modbus RTU/TCP, CAN Bus, J1939, OPC-UA
• Linux embedded systems, Raspberry Pi, industrial PCs
• Python, Rust, Node.js, Go
• AWS IoT Core, Azure IoT Hub, GCP IoT
• TimescaleDB, InfluxDB, PostgreSQL
• MQTT, HTTP/REST, WebSockets
• Docker, Kubernetes, Terraform
• Grafana, custom React dashboards
• scikit-learn, TensorFlow for ML applications
• LLMs & agentic AI — multi-agent systems, RAG (Gemini, Claude, GPT)
• Serverless cloud — Cloud Run, Lambda, Cloud Functions
• FastAPI, React, vanilla JS; Stripe, Firestore

Certifications & Training

• AWS Certified Solutions Architect
• Industrial network protocols training
• Functional safety awareness (IEC 61508)