AI-first software studio — agents · web · mobile

Build. Ship. Run.

BuildShipRun is an AI-first software studio. Our main focus is AI — autonomous agents, LLM-powered products, and AI features inside existing apps — backed by the full-stack web and mobile engineering to ship them into production and keep them running.

What we do

Three things, done properly.

01

AI agents and LLM productsCore focus

Our core focus. Autonomous agents that do real work — support automation, document workflows, internal copilots — plus RAG knowledge assistants over your own data, custom chatbots, and AI features built into your existing product. Everything ships with guardrails, human-in-the-loop controls, and evals, so it behaves in production and not just in the demo.

  • Claude API
  • OpenAI
  • Agents & MCP
  • RAG
  • Evals & guardrails
  • Automation

02

Web products

Full-stack product development with Next.js, TypeScript, and Postgres — often as the home for the AI above. Marketplaces, SaaS, and internal tools, delivered production-ready with auth, payments, and analytics wired in.

  • Next.js
  • TypeScript
  • Postgres
  • Vercel

03

Mobile apps

iOS, Android, and cross-platform. Native Swift and Kotlin apps, or one shared codebase with React Native or Flutter — whichever fits your budget and roadmap. Everything an app needs is included: push notifications, in-app purchases and subscriptions, offline sync, deep links, crash reporting, and both store submissions handled from first beta build to public launch.

  • Swift & SwiftUI
  • Kotlin
  • React Native
  • Flutter
  • App Store
  • Google Play

Shipped in production before

  • AI agents & tool use (MCP)
  • RAG & knowledge assistants
  • Chatbots & copilots
  • LLM evals & guardrails
  • Payments, in-app purchases & subscriptions
  • Real-time messaging
  • Geo search & maps
  • Auth & permissions
  • Push & email notifications
  • Offline sync & deep links
  • App Store & Google Play releases
  • Rate limiting & abuse protection
  • Analytics, crash & error reporting

AI in practice

What an agent can do for you.

Customer support agent

Answers from your docs and past tickets, resolves the routine ones, and escalates to a human the moment it's unsure — with every conversation logged for review.

Fewer repetitive tickets, faster first replies

Document workflows

Reads invoices, contracts, and forms; extracts the data; routes it to the right system. The pile of manual entry your team dreads, handled.

Hours of copy-paste work removed weekly

Internal copilot

A private assistant over your company knowledge — wikis, drives, CRM — that answers with sources cited, so your team stops asking the same questions twice.

Institutional knowledge, actually findable

AI inside your product

An assistant or smart feature added to the app you already have. We handle model choice, latency, cost control, and evals — you ship the feature your users are asking for.

AI features without hiring an AI team

How we work

The name is the process.

Build.

A free discovery call, then a fixed scope, milestones, and price in writing. We design and develop with weekly demos on a live staging URL — you watch the product take shape instead of reading status reports.

Ship.

We take it all the way out the door: production deploys, App Store and Google Play review, domains, monitoring. Launch day is part of the job, not an extra.

Run.

Software isn't done when it ships. We hand over the code and documentation — you own everything — and stay on retainer for maintenance, fixes, and new features.

Fixed-scope project

A defined deliverable with milestone billing. Best for MVPs, new apps, and well-scoped features.

Monthly retainer

Ongoing development, maintenance, and iteration with a predictable monthly cost. Best after launch.

Advisory

Architecture reviews, AI strategy, and code audits when you need a senior second opinion, not a team.

  • → Fixed scope and price in writing, before any work starts
  • → Changes handled with clear change orders — never surprise invoices
  • → You own 100% of the code, from day one

FAQ

The questions everyone asks.

What happens to our data?

Your data is used only to run your system — never to train models. We use API tiers with training opt-outs, keep retention to the minimum the feature needs, and can deploy on your own cloud accounts so nothing leaves your infrastructure. Access controls, audit logs, and prompt-injection defenses are part of the build, not an add-on.

Which AI models do you use?

Whichever fits the job — Claude, OpenAI, or open-weight models, chosen per task for quality, latency, and cost. We build so the model is swappable, which means you're never locked into one vendor as prices and capabilities change.

Will you tell us if AI is the wrong tool?

Yes, and it happens regularly. Some problems are better solved with plain code, a spreadsheet, or a process change — and that's cheaper for you and less risk for us. Discovery exists to find that out before you spend real money.

How much does an AI project cost?

It varies with scope, so we don't quote before discovery — but after a free call you get a fixed price in writing that covers design, build, testing, and launch. Most clients start with a small pilot to prove value before committing to a bigger build. Changes go through clear change orders; there are no surprise invoices.

How long does it take?

A focused pilot typically ships in a few weeks; fuller products take longer and we'll tell you honestly rather than promise a date we can't hit. Either way you see weekly demos on a live staging URL from the first week.

Who owns the code, prompts, and data?

You do — 100%, including the prompts, evals, and documentation, transferred as set out in the services agreement. If we part ways, you keep a system your next team can run without us.

Contact

Tell us what you're building.

Send a few lines about your project and we'll reply within two business days with honest next steps — usually a short call, sometimes just free advice.

Working with clients worldwide