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AI SAAS DEVELOPMENT

AI-first products built for production , not just demos.

AI demos are easy. AI products people pay for are hard. Dezvo builds AI-first SaaS from scratch — the full stack of LLM integration, RAG, agents, multi-tenant auth, billing, eval pipelines, and the marketing site that sells the thing.

See Our Work
AI SaaS stack
  • Next.js + Vercel AI Gateway
  • Claude / GPT / Gemini
  • RAG + vector search
  • Multi-tenant Postgres
  • Stripe billing + auth
WHAT WE BUILD

End-to-end AI SaaS from MVP to scale.

AI MVPs

8-14 week ship from idea to launched product. Auth, AI core feature, Stripe, marketing site, analytics. Built for fundability.

Agent products

Tool-using agents wrapped in a SaaS UI. Eval suites, observability, human-in-loop where it counts.

Multi-tenant scale

Per-tenant token budgets, isolated vector stores, BYO API keys for enterprise tier.

Eval-driven

Frozen test set scored every deploy. Track accuracy, latency, cost across model upgrades.

FAQ

Common questions, answered.

If your question isn't here, message us — usually same-day reply.

8 to 14 weeks for a typical AI MVP — auth, billing, core AI feature, marketing site, analytics. Faster for narrower scope. We work in 2-week sprints with TestFlight / preview deploys each sprint.

Next.js (App Router) on Vercel, Postgres / Neon, Clerk or NextAuth for auth, Stripe for billing, Vercel AI Gateway for LLM routing, Pinecone or pgvector for RAG. Same stack whether you're going pre-seed MVP or Series A scale.

Yes. We build the marketing site (landing, pricing, docs) and the authenticated product as one project. Same design system, same SEO, same Vercel deployment.

Per-tenant token budgets, model routing (cheap first, escalate on confidence), prompt caching, semantic caching, structured output. Predictable spend even at scale.
RELATED SERVICES

Bundle the services that work together.

Next.js Development

The web framework underlying most AI SaaS we build.

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AI Agent Development

Tool-using agents as the core product feature.

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RAG Development

Grounding the SaaS in customer data.

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