Startups
Full-stack product engineering for startups combining AI inference, on-chain logic, and IoT data pipelines — from architecture design through production deployment.
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Industry overview
End-to-end product development is the complete engineering lifecycle from technical scoping and architecture through front-end, back-end, integration, testing, and production deployment — handled by a single team accountable for the full product.
At a glance
Startups building at the intersection of AI, blockchain, and IoT face a coordination problem: three separate contractors each handling one layer, no one accountable for how they fit together. We solve this by running the entire stack. Our teams have delivered products where an IoT device submits sensor data to a cloud pipeline, an ML model scores it in real time, and a smart contract records provenance on-chain — all in a single cohesive system.
Engagement begins with a two-week architecture sprint producing an ADR (Architecture Decision Record), component diagram, and integration contract between layers. Development follows in two-week sprints. We handle IoT firmware and edge agents in Python or C++, cloud data pipelines in Kafka or Pub/Sub, ML model serving via FastAPI, smart contracts in Solidity or Rust, and a React frontend. Every layer has tests and observability from day one.
Key capabilities
Engagements are scoped to your business context — these are the core capabilities we bring to startups clients.
Architecture sprint producing ADR, component diagram, and integration contracts
IoT firmware and edge agent development in Python or C++
Cloud data pipelines with Kafka, Pub/Sub, or MQTT brokers
ML model training, serving, and monitoring in production
Smart contract development in Solidity or Rust with audit-ready test suites
React/Next.js frontend with real-time dashboards wired to all data layers
Work with us
Share what you're building — we'll respond within one business day with questions or a proposal outline.