From code to intelligence

What your users actually touch — on the web and on both app stores.

• React Component UI that survives past the prototype
• TypeScript Types that catch breakage before your users do
• Tailwind CSS A design system, not a pile of stylesheets
• React Native One codebase, native feel on iOS and Android
• Expo Ship to both stores without the build pipeline pain
• Swift Native iOS where the platform genuinely matters
• Kotlin Native Android where the platform genuinely matters
• Three.js Real-time 3D in the browser, budgeted carefully

The part that has to stay up at 3am — boring on purpose, where boring is a virtue.

• Node.js Event-driven services and realtime workloads
• Python Data pipelines, ML and everything adjacent
• FastAPI Typed Python APIs with documentation for free
• PostgreSQL The relational default — and it keeps its promises
• Redis Caching, presence and queues
• WebSockets Live chat, presence and push updates
• Docker The same environment on every machine
• Kubernetes Scaling out, and on-premise deployments
• AWS Managed infrastructure we tune rather than fight

Scoped so a wrong answer cannot do damage — grounded, evaluated and auditable.

• PyTorch Custom models when off-the-shelf will not do
• LLM APIs Hosted frontier models where speed wins
• Self-hosted LLMs Open weights when data cannot leave the building
• RAG pipelines Answers grounded in your own content, with citations
• pgvector Embeddings living next to your relational data
• Vector databases Semantic retrieval once scale demands it
• Hugging Face Model hub, tokenizers and fine-tuning
• Evals & guardrails Measuring accuracy, and constraining the blast radius