Search Smicolon
Prototype to Production
Take a validated prototype through architecture, evaluation, security, deployment, observability, and handover until it can operate as a maintained production system.
AI MVP Rescue
Stabilize an AI-built MVP without automatically rewriting it: identify launch blockers, preserve useful work, and close the highest-risk production gaps.
AI Product Development
Design and build AI products around measurable behavior, production architecture, secure data paths, and an operating model your team can own.
AI-Enabled Mobile Product Engineering
Create mobile products with dependable AI features, secure device-to-cloud data flows, resilient offline behavior, release controls, and production observability.
AI & LLM Quality Engineering
Define and test acceptable AI behavior with evals, representative datasets, regression gates, application tests, human review, and production feedback loops.
AI Product & Web Platform Engineering
Build and evolve web products that connect AI behavior to reliable application architecture, secure data paths, observable workflows, and maintainable delivery.