Supabase Development Agency:
Postgres Backends Built to Scale
We design, build, and harden production Supabase backends on real Postgres — schema, Row Level Security, auth, edge functions, realtime, and storage. From your first table to pgvector-powered RAG and multi-tenant scale, without the security holes most quick-start projects ship with.
Teams we ship for
The new AI software engineering
Coding changed. Engineers stopped being the bottleneck.
The bottleneck moved to orchestration. Claude Code is the brain, MCP plugs into your stack, E2B sandboxes every action. One of our engineers ships like three normal hires.
- 01Claude Codethe brain · subagents · MCP
- 02Anthropicmanaged agents · runtime
- 03CursorIDE pair-programming
- 04n8ncron · webhooks · glue
- 05E2Bsandboxed compute
Engineering Secure Postgres Backends on Supabase
Supabase gives you a real Postgres database with auth, storage, edge functions, and realtime wired in from day one. But that power is exactly where most teams get burned: tables ship without Row Level Security, the schema is never designed for scale, and an exposed anon key turns the whole database into a public API by accident.
We are a Supabase development agency, not a quick-start template shop. We design the schema, lock down RLS, structure auth and edge functions, and harden the backend so it holds up under real traffic and a real security review. You get a Postgres foundation your product can grow on.
Why DIY Supabase Backends Break at Scale
Supabase makes it easy to ship and hard to ship safely. The backend you wired together in a weekend starts to crack the moment real users, real data, and a security audit enter the picture.
Tables Without Row Level Security
The fastest way to leak your entire database is to skip RLS. A single table exposed to the anon role lets anyone read every row through the public API. We write and test RLS policies on every table so access maps exactly to who should see what.
Schema That Was Never Designed
Quick-start schemas have no indexes, no foreign keys, and no migrations — so queries crawl and data drifts as the app grows. We design a normalized, indexed Postgres schema with version-controlled migrations that scale past the demo.
Edge Functions and Auth Bolted On
Auth flows, JWT claims, and edge functions stitched together ad hoc create silent holes — leaked service keys, missing token checks, unverified webhooks. We structure auth, custom claims, and edge functions so the security model is intentional, not accidental.
What Our Supabase Development Agency Builds
We cover the full backend lifecycle — from your first Postgres schema to a hardened, realtime, pgvector-powered Supabase platform that serves your entire product, including AI features.
Postgres Schema & RLS
Normalized schema design, indexes, foreign keys, and version-controlled migrations — with Row Level Security policies written and tested on every table so multi-tenant data stays isolated.
Auth, Edge Functions & Webhooks
Supabase Auth with custom JWT claims and role-based access, Deno edge functions for server-side logic, and verified webhook handlers — so business logic runs securely close to the database.
Realtime & Storage
Realtime subscriptions for live dashboards and collaboration, plus Storage buckets with signed URLs and RLS-backed access rules for files, uploads, and media.
pgvector RAG for AI
We turn Postgres into your vector store with pgvector — embeddings, similarity search, and RAG pipelines that let your product retrieve and reason over your own data without a separate vector database.
Our Supabase Build Methodology
We do not just spin up a project and start adding tables. Every Supabase backend we deploy is modeled, secured, and hardened before it touches production.
Technical blueprint & RLS audit
Postgres schema & policy map
Live, tested, secured backend
Ongoing reliability protocol
Why Partner with a Dedicated Supabase Development Agency?
Another quick-start tutorial will not fix an insecure backend. You need a partner who understands both Postgres internals and Supabase's auth, RLS, and edge runtime — from policy design to pgvector at scale.
Real ROI: See Our Systems in Action
Explore how we have engineered custom pipelines to save thousands of hours and eliminate costly bottlenecks for B2B leaders.
Don't take it from us
Hear it from the operators we shipped for.
Real founders. Real cameras. No scripts. Different scales, same agent stack.
Elie Salame
COO · Adstronaut.io
Elie Salame
COO · Adstronaut.io
Stop Leaky Backends. Build It Secure.
Book a strategy call and we will map your data model, security gaps, and the hardened Supabase backend — schema, RLS, auth, and pgvector — that should power your product.
Book a 30min Free Strategy Call
In this call, we'll walk through your project scope, timeline, and goals - so we can both check if we're a fit. No obligation, no slide deck, just a working session.
Don't want a call? Email walid@ayautomate.com
“The team is super fast - sometimes we had to slow them down. We managed to scale the company without investing into hiring.”
Elie Salame
COO, Adstronaut.io
We've created products featured in
Walid Boulanouar
View LinkedInSupabase Backend Audit
Share the product and data model you want to build on, then schedule the call on this page.
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FAQ
Supabase Development Questions
Do you set up Row Level Security on Supabase?+
Yes, on every table. RLS is the core of Supabase security — without it, your anon key can expose the whole database. We write, test, and document policies so each row is only readable and writable by who it should be, including multi-tenant isolation.
Can you design or fix our Postgres schema?+
Yes. We design normalized schemas with proper indexes, foreign keys, and version-controlled migrations, and we refactor existing schemas that were never built for scale — without losing your data.
Can you build Supabase edge functions and auth flows?+
Yes. We build Deno edge functions for server-side logic, configure Supabase Auth with custom JWT claims and role-based access, and verify webhooks so your business logic runs securely close to the database.
Can Supabase power RAG and AI features?+
Yes. We use pgvector to turn Postgres into your vector store — storing embeddings, running similarity search, and building RAG pipelines so your product retrieves and reasons over your own data without a separate vector database.
Do you maintain and scale Supabase after launch?+
Yes. For production backends we recommend ongoing monitoring, query and index tuning, connection pooling, backups, and version upgrades so growth and Supabase changes never silently break your app.