Questions, answered
Frequently asked questions.
Everything founders usually ask before kicking off an AI build. Don't see yours? Email us directly.
We design and ship AI-powered products end-to-end — LLM integrations, AI agents, intelligent SaaS platforms, automation layers, and AI-native mobile and web apps. Everything is built on scalable AI infrastructure with evals and observability baked in.
AI products require model selection, prompt design, evals, vector stores, observability, and infra that scales with usage cost. We treat the model layer as a first-class part of the product — not a bolt-on — so the system actually learns and improves over time.
Most AI MVPs go from prompt to production in around 8 weeks. Lightweight LLM integrations can ship in 2–4 weeks; complex agents, RAG systems, or multi-tenant intelligent SaaS take longer depending on scope.
Yes. Every engagement includes 30 days of post-launch support — eval tuning, prompt iteration, model upgrades, and observability. We also offer ongoing AI infra and MLOps retainers for scaling teams.
Absolutely. We frequently retrofit AI into existing apps — copilots, semantic search, automation, and intelligent workflows — without rewriting your core product. We start with an audit, then ship integrations in tight sprints.
OpenAI, Anthropic Claude, open-source LLMs, plus LangChain, vector databases (Pinecone, pgvector), Next.js, React Native, Flutter, and major cloud providers. We pick the right stack per use case rather than forcing a single one.