New Empire
AI SaaS development

Turn an AI product idea into a production SaaS people can actually use.

New Empire builds the real product around the model: onboarding, workflows, data, APIs, reliability, cloud deployment, and the boring pieces that make AI usable every day.

Start an AI SaaS sprintView case studies

Best fit

Founders and product teams who need a senior full-stack partner to ship a focused AI SaaS MVP or high-value product slice.

Outcomes

  • A focused MVP scope that avoids demo sprawl
  • Full-stack product delivery with Next.js, Node.js, Python, PostgreSQL, and AWS
  • AI workflows wrapped in product UX, auth-ready boundaries, and reliable APIs
  • A foundation that can grow into billing, teams, permissions, and analytics

What we deliver

  • Product and technical scope for the first shipped version
  • Frontend, backend, AI integration, and cloud deployment
  • Core analytics events for activation and conversion
  • Launch checklist and handover documentation

Proof you can inspect

  • Built an AI-powered SaaS that automated 60%+ of manual workflows.
  • Delivered two-sided marketplace and enterprise platforms with production-grade foundations.
  • Deep experience across Next.js, Node.js, Python, PostgreSQL, AWS, and Generative AI APIs.

Related case studies

BusinessMentorAn AI-powered SaaS that automates the busyworkRead case study >Tribal JobsA modern jobs marketplace connecting talent and employersRead case study >Cyprus AirwaysAn end-to-end digital platform for a national airlineRead case study >

How the sprint works

  • Define the narrow customer job and the riskiest technical assumption.
  • Ship the first usable product slice in a fixed sprint.
  • Add instrumentation around activation, usage, and failure modes.
  • Iterate from real user feedback instead of extending the demo endlessly.

LinkedIn post angles

Use these as post hooks and point each one back to this page with UTM tags.

  • The AI SaaS MVP trap: building a chatbot before you understand the workflow.
  • A practical first sprint scope for an AI SaaS founder.
  • What belongs in an AI SaaS foundation before billing and growth.

Questions buyers ask

Can you build the whole MVP?

Yes, when the scope is focused. The strongest projects start with one valuable workflow and a clear path to production.

Do you handle both frontend and backend?

Yes. Typical delivery includes Next.js UI, Node.js or Python APIs, database design, AI integration, and cloud deployment.

What happens after the sprint?

You can continue with a second sprint, move to a fractional technical lead retainer, or take the codebase in-house with handover support.

Next step

Have a product or AI workflow worth shipping?

Send the context, the risk, and what a useful first version needs to do. We will turn it into a practical build path.

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