Case studies in practical AI, automation, and regulated cloud engineering.

Red Duck Labs designs and builds production-minded AI systems, cloud platforms, and automation workflows for teams that need useful software, not novelty demos.

AI software delivery

A no-code software planning platform turned product intent into refined requirements, implementation tasks, acceptance criteria, and reviewable delivery workflows.

Legal document intelligence

A grounded legal research workflow combined document ingestion, OCR, vector retrieval, citation boundaries, fuzzy matching, and Word-exportable drafting support.

Medical-device cloud platform engineering

Regulated platform work connected cloud service architecture, identity, routing, deployment automation, and repeatable infrastructure-as-code delivery.

Cybersecurity and regulated DevOps

SBOM generation, vulnerability monitoring, Kubernetes-backed CI/CD, and security review were built into normal delivery instead of handled as a late release gate.

Agentic development tools

Repository-aware assistants reviewed code, generated documentation, operated tools, produced project artifacts, and kept humans in the review loop.

Geospatial product engineering

A crowdsourced location product used shared web and mobile contracts, PostGIS search, an API-first backend, and deployment architecture ready for customer discovery.