AI Product Engineering

Your product deserves better
than a bolt-on AI feature.

We build AI-native SaaS platforms, web apps, and mobile products — architected for AI from day one, not patched in after launch.

3–6 months

The wrong build timeline

Most agencies take 3–6 months to ship an MVP. By the time it's live, your market has moved and your competitors have already learned from real users.

2×

The rewrite tax

Every product that isn't architected for AI from day one gets rewritten after PMF. That rewrite costs 2× the original build — and months you can't get back.

40%

Of AI features fail

Not because the model is bad — because they were bolted on. Wrong architecture, no vector layer, prompts hardcoded in the frontend. They break under load.

Every product we ship is AI-native from the first commit.
No rewrites. No bolt-ons. No surprises at scale.

What we build

Four products we ship better than anyone else.

Each engagement starts with one deliverable. Click a card to see exactly what we build and how.

The scenario

You've validated the idea. Now you need a real product — auth, billing, dashboards, LLM pipelines, vector search — shipped to production and ready for real users.

What we build
  • Full-stack web app (Next.js + Supabase / Postgres)
  • Authentication, billing, and role management
  • LLM pipeline with streaming and guardrails
  • Vector search layer (RAG, semantic search)
Typical timeline 4–6 weeks MVP to production
The scenario

You need a mobile app that feels native on both stores but only one codebase to maintain. Plus an AI assistant your users actually use, not a novelty button.

What we build
  • Flutter app for iOS & Android from one codebase
  • Firebase / Supabase backend with real-time sync
  • Push notifications, payments, deep linking
  • Embedded AI assistant and RAG search
Typical timeline 6–10 weeks Both stores, live
The scenario

Your product works — but users keep asking for AI features your competitors already shipped. You need to add them without tearing down what's already running.

What we build
  • RAG assistant wired into your existing data
  • Semantic search over your product's content
  • LLM-powered workflows inside your current UI
  • Backend AI services without downtime
Typical timeline 3–5 weeks First AI feature live
The scenario

Your operations team runs on Google Sheets, email threads, and duct-taped tools. You need a real internal portal — with AI workflows that automate the busywork.

What we build
  • Internal admin portal and dashboards
  • Role-based access and audit logging
  • AI workflows that replace manual ops
  • Integrations with your existing tools
Typical timeline 4–6 weeks Portal live + team trained
Same idea, two build paths

What actually changes when AI is in the architecture.

Bolted on later

Six months after launch

  • Prompts hardcoded in the frontend
  • No vector layer — every "AI feature" is a fresh API call
  • API keys exposed in the browser
  • Users hit rate limits the moment traffic grows
  • Engineering team spends 3 months on a rewrite
  • Competitor shipped the same feature 4 months ago
AI-native from day one

Six months after launch

  • Prompts versioned, tested, and server-side
  • Vector DB handles retrieval + semantic search
  • Keys secured behind a proper AI gateway
  • Scales to 10× traffic without architecture changes
  • Team ships new AI features in days, not quarters
  • Product roadmap keeps moving — no rewrite in sight

Same product idea. Same 6-month window. The difference is whether you build for AI first, or retrofit it later.

Common questions

Things founders usually ask.

A focused AI-native SaaS MVP ships in 4–6 weeks. Cross-platform mobile apps take 6–10 weeks for both stores. You'll have a fixed timeline before we start building.

Flutter for most products — one codebase, native performance, fastest time to both stores. React Native if you already have a JS team. Pure native only if your app needs deep hardware integrations.

Yes — that's most of our engagements. We add RAG assistants, semantic search, and LLM-powered workflows into products already in production, without downtime or a full rewrite.

You do — 100%. Full code, full IP, full ownership from day one. We hand over clean repositories with documentation so your team can take it forward whenever you want. NDAs and IP agreements signed before kickoff.

We monitor the launch, tune prompts based on real usage, and hand over full docs. Optional monthly retainers available for ongoing feature work — most clients start with a project and add support once the product is live and proving value.

Focused MVPs start in the mid five figures. Full product builds with custom AI pipelines run higher. Every project gets a fixed-price blueprint before we build — no hourly surprises, no scope creep.

Get Started

Have an idea you want built this quarter?

Book a call. We'll scope the product live, show you exactly what ships in the first 4 weeks, and send a fixed-price blueprint within 72 hours.

Book a Discovery Call See Our Work