AI-NATIVE PRODUCT DEVELOPMENT
Your SaaS, built with the AI designed in from day one.
Auth, multi-tenancy, billing and the AI layer, scoped in Week 1 and shipped to production from Week 6. You own the repo from the first commit.
IS THIS FOR YOU?
This is for you if
- You have a clear product and no technical co-founder.
- Someone told you WordPress or a no-code tool would do, and you doubt it.
- AI is part of the product itself, so it has to be in the architecture.
WHAT YOU GET
What's included in an AI-native SaaS build?
Week 1 scope document
Stack, architecture and sprint plan, in writing.
Auth, roles and multi-tenancy
Built on proven boilerplate, so your budget goes to your features.
Billing
Stripe subscriptions, or Stripe Connect for marketplaces.
The AI layer
Prompt orchestration, background queues and model routing, with evals from the first release.
CI/CD on your cloud
GCP Cloud Run and Docker by default, deployed to your account.
2 weeks of post-launch support
Then engineers stay reachable on Slack.
PROOF
Proof
No technical co-founder. Four AI modules live in four months.
Navia's founder had a clear product vision for four AI modules. We chose an AI-ready Next.js, Node.js and PostgreSQL stack with prompt orchestration and an async job queue, then shipped Content Engine, Brand Manager, Task AI and Admin in four months.
4 months idea to production
4 AI modules
100% founder ownership
“The range of skills was incredible. They delivered on time, and flagged it early when a deadline was at risk.”Read the Navia case study →
HOW IT RUNS
How long does it take to build an AI SaaS MVP?
01
Scope & align
Week 1
Stack, architecture and sprint plan confirmed in a document.
02
Build & show
Weeks 2-5
Working software in Week 2. Every pull request lands in your repo.
03
Ship & stay
Week 6+
Production on your cloud with tests, logging and evals. Engineers stay on Slack.
PRICING
Most builds land between $5K and $25K. Marketplaces run $15K to $35K.
See all four MVP tiers →FAQ
Questions about AI-native product development.
No. Several of our longest relationships started with founders who couldn't read the codebase. We explain any call that affects cost, timeline or risk.