AI engineering
The part most teams cannot staff for — built to run in production, not in a notebook.
Computer visionLanguage models & RAGData pipelinesEvaluation & model qualityDeployment & infrastructure
Product engineering
Everything around the AI, so what you end up with is a product rather than a demo.
Full-stack developmentUI design & user researchArchitecture & technology choicesHosting, DevOps & CI/CDBusiness process automation
The founder side
We have founded and run products ourselves, so the questions before the code are familiar too.
Ideation & validationMarket research & customer interviewsGo-to-market & business developmentTechnical leadership & team setup