The whole product. One team. Hold the buzzwords.

Pick a thing to build. Pick a timeline. We'll handle the mobile, the web, the backend, the cloud, the AI bits, and the boring infrastructure underneath it. So you can stop project-managing three agencies who don't talk to each other.

Mobile Apps

Apps that feel native, ship to the stores, and that hold up the first time someone hands one to a customer.

  • iOS + Android (React Native or fully native)
  • App Store and Play Store submission — we handle the paperwork
  • Push notifications, analytics, crash reporting wired in
  • Offline-first sync when it actually matters

React Native, Expo, Swift, Kotlin, JavaScript.

Web Apps

Dashboards, SaaS products, internal tools, marketing sites — built so the design and the engineering both feel finished.

  • Responsive, accessible UI (the kind that works on a 13-inch laptop and a 27-inch monitor)
  • Auth, billing, admin tooling — the stuff that's tedious but required
  • SEO-ready marketing pages so you actually get found
  • A design system you can hand to the next engineer

React, Next.js, Vue, TypeScript, JavaScript, tRPC, Tailwind.

Backends & APIs

The plumbing. Clean contracts, real observability, the boring details done right so it doesn't wake you up at 2am.

  • REST or GraphQL APIs
  • Postgres, Redis, queues — picked for the job, not the resume
  • Background jobs and webhooks that actually retry
  • Logs, metrics, error tracking from day one

Node, JavaScript, Python, PHP, Laravel, Go, tRPC, Postgres.

Cloud Architecture

Designed for where you actually are, not where a Series B deck says you'll be. No premature complexity.

  • Architecture diagrams and the why behind each decision
  • Infrastructure as code (Terraform or Pulumi)
  • CI/CD pipelines and clean environments
  • Cost and security review — including the stuff you'd rather not hear

AWS, GCP, Vercel, Terraform.

AI & LLM Integration

Add AI where it moves a real metric. Not where it'll look good on LinkedIn.

  • LLM features (chat, search, summarization, extraction)
  • RAG pipelines over your actual data
  • Agents and tool use — when they're the right tool, not before
  • Evals so you know whether it's working or just looks like it is

OpenAI, Anthropic, LangChain, pgvector.

Technical Due Diligence

An honest second opinion. Written in plain English so a founder or investor can act on it.

  • Code, infra, and security review
  • Team and process assessment
  • Risk register with severity — what's a fire, what's a pebble
  • A written report you can actually forward

Not sure what you need yet? Same.

Send a paragraph about what you're trying to build. We'll write back with a recommended scope, a timeline, and a fixed-fee proposal. No "let's set up a discovery call to discuss next steps" energy.

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