Go from idea to a live, paying AI product — over a weekend.
The hard part of an AI product isn't the prompt — it's everything around it: accounts, a database, file storage, an inference backend, and a way to capture users. Wiring that together usually takes weeks.
Outcomes
Products in this stack
Backend-as-a-Service
Postgres, auth, storage, realtime and edge functions — a complete backend you can ship in minutes.
AI infrastructure
Drop-in inference, embeddings and an assistant that understands your data and your schema.
Forms & data capture
Beautiful forms, surveys and submissions with validation, logic and instant webhooks — no code required.
The challenge
- Standing up auth, Postgres and storage from scratch burns your first week.
- Self-hosting an inference endpoint means GPUs, queues and ops.
- Collecting leads and onboarding data needs yet another tool.
The result
A complete, production-ready AI SaaS — backend, intelligence and intake — assembled from the Zyora ecosystem and live before Monday.
How it works
Backend in minutes with zMesh
Get managed Postgres, auth, storage and edge functions out of the box — no servers to manage.
Add intelligence with zAI
Call inference and embeddings through a single API. Schema-aware AI understands your data, not just your prompt.
Capture users with zForms
Drop in a waitlist, onboarding survey or feedback form with validation and webhooks — no code required.
Ready to build this?
Start free today, or talk to us about the right setup for your team.