The Supabase agency.A backend that holds.
Supabase is the ready-made backend behind your app: the database that stores your data, the user accounts, the auto-generated API your frontend talks to. It runs on real Postgres, the open-source Firebase alternative. The catch is that a quickstart with no Row Level Security (the rules deciding who can read which rows) leaks data the moment two customers log in. We design the schema properly, lock it down, build the Auth and features you need, and wire it to your frontend.
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GeminiA Supabase agency builds the backend right, not just spins up a project.
Anyone can create a Supabase project. Designing a schema that holds, writing RLS that keeps tenants apart, and wiring Auth, Realtime and Edge Functions to a real frontend is a different job. Here are the four things we own.
- Schema & RLS
A Postgres schema that won't fight you at scale
Supabase is real Postgres, and that's the point: you get relations, constraints, indexes and migrations, not a document store you'll regret. We model your data properly, write the Row Level Security policies that make multi-tenant data safe by default, and set up migrations so schema changes are reviewed and reversible. Get this layer right and Auth, Realtime and the auto-generated API just work on top of it.
See a typical build - Auth & access
Auth wired to your real permission model
Supabase Auth handles email, magic links, OAuth providers, SSO and JWTs, but the hard part is the access model behind it. We map your roles and tenants to Postgres RLS policies so users only ever see their own rows, set up the auth hooks and custom claims you need, and test the edge cases (invites, role changes, org switching) that break apps in production. Authentication that's actually airtight, not a demo login.
See the method - Realtime & Edge
Realtime, Storage and Edge Functions where they fit
The leverage in Supabase is the integrated suite. We wire Realtime for live data (presence, broadcast, Postgres changes) where it earns its place, Storage with RLS for files your users own, and Edge Functions for the server-side logic that shouldn't live in your client (webhooks, payments, third-party calls). Each piece added because your product needs it, not because the platform offers it.
See the integrations - Frontend & AI
Wired to your frontend, ready for AI features
A backend is useless until it's connected. We wire Supabase to your stack (Next.js, WeWeb, FlutterFlow) with the typed client and the auto-generated REST and GraphQL APIs, so your frontend reads and writes safely. Need AI features? We set up pgvector for embeddings and semantic search so RAG and recommendations run on the same Postgres. We're an automation and AI agency first, so this plugs into the rest of your build.
See AI enablement
We build on Supabase like a backend, not a weekend prototype.
Most Supabase projects break the same way: schema thrown together in the dashboard, RLS left off, Auth half-wired, and the first multi-tenant bug leaks data across accounts. So we treat it like infrastructure: a modeled schema, RLS-first access control, versioned migrations, and only the features your product actually needs, wired to a real frontend.
- Audit · map your data model, your access rules, and what actually needs a backend
- Schema · Postgres relations, constraints, migrations and RLS, safe by default
- Build · Auth, Realtime, Storage and Edge Functions, only where your product needs them
- Wire · connect the typed API to your frontend, with pgvector ready for AI features
We ship Supabase backends ourselves.
We don't sell a partner tier. We build production backends on Supabase, including the ones behind our own products, so we set up the schema and RLS the way they hold at scale: modeled relations, policies tested against real access patterns, versioned migrations, and the database enforcing access, not the client. That's exactly what's missing when a build ends at a dashboard schema with RLS switched off.
- We build production backends on Supabase ourselves, so we set up the schema and RLS the way they hold at scale, not the way a quickstart suggests. More than 40 companies since 2024, 150+ automations shipped, and the backends kept running after we handed them over.
- RLS-first by default: we make multi-tenant data safe at the database, so a frontend bug can't leak another tenant's rows.
- You leave owning it: it's real Postgres with versioned migrations in your repo, so your team can keep building without us, or self-host if you want.
- No badge to sell. We're judged on whether your backend stays solid as you scale, not on a partner tier.
What's under your app: the 5 Supabase pieces we assemble.
Supabase bundles a whole backend into one product, so instead of stitching five separate services together you configure five parts of the same thing. Here is each piece in plain terms, and what we set up so they work as one.
- Setup
The database (Postgres)
This is the engine that stores your data in real tables, the way a spreadsheet never could once you have thousands of rows. We model it with proper relations, constraints and indexes, then put every change through versioned migrations so nothing is clicked into a dashboard and forgotten.
- Setup
User accounts (Auth)
The part that knows who each user is: sign-up, login, magic links, Google or GitHub sign-in, single sign-on for teams. We set up Supabase Auth and the auth hooks and custom claims so it holds up under invites, role changes and switching between organisations.
- Setup
Permissions (Row Level Security)
The rules that decide who can see which rows, enforced by the database itself instead of your app code. We write the Row Level Security policies that keep one customer's data invisible to another, then test them against the access patterns your product actually uses.
- Setup
The auto-generated API
Every table you create gets a ready-made way to read and write it: a typed client plus REST and GraphQL endpoints your frontend calls straight away. We expose it safely, so the permissions above still apply on every request, no hand-built backend in between.
- Setup
Realtime, plus the extras
The pieces you add only where the product earns them: Realtime for live data (chat, presence, dashboards that update themselves), Storage with the same permissions for user files, Edge Functions for server-side logic, and pgvector when you want AI search on the same database.
We map your data model, you leave with a plan.
Before quoting anything, we take 60 minutes to look at what you're building, your access rules, and what genuinely needs a backend. You leave with an honest read on whether Supabase fits, what to model first, and where RLS, Realtime or pgvector earn their place. Zero pitch, just an engineer's take on your backend.
- An honest read on whether Supabase fits your product
- The schema and Row Level Security to design first
- The features (Realtime, Edge Functions, pgvector) worth building
- Scope and a ballpark cost (our Supabase builds start from $2,000) with a realistic timeline, from one week to six months
How we build a Supabase backend.
Five steps, in order. We don't ship a table without RLS, we don't wire the frontend before the schema is solid, and your team owns it at the end. Each step has a deliverable and you sign off before we move on.
- Step 1 · Backend audit
Map your data model and access rules
We sit down with your team and look at what you're actually building: the entities and relations, who can see what, where data is multi-tenant, and which features need realtime, storage or AI. We check whether Supabase fits or whether something else does. Half the value is telling you what genuinely needs a backend and what can stay on the client, so you don't over-build before you ship.
- Step 2 · Schema & RLS
Design the Postgres schema and lock it down
We model your data in Postgres with proper relations, constraints and indexes, then write the Row Level Security policies so multi-tenant data is safe by default. Everything goes through versioned migrations so schema changes are reviewed and reversible. We test the RLS against your real access patterns, because policies that look right and policies that hold under edge cases are not the same thing.
- Step 3 · Build the backend
Auth, Realtime, Storage and Edge Functions
We build the parts your product needs: Supabase Auth wired to your permission model, Realtime for live data where it earns its place, Storage with RLS for user files, and Edge Functions for the server-side logic that shouldn't live in the client. Each piece is added because the product needs it, scoped and tested, not bolted on because the platform happens to offer it.
- Step 4 · Wire the frontend
Connect it to your stack and AI features
We connect the backend to your frontend (Next.js, WeWeb, FlutterFlow) with the typed client and the auto-generated REST and GraphQL APIs, so reads and writes are safe and predictable. Need AI? We set up pgvector for embeddings and semantic search so RAG and recommendations run on the same Postgres. We use database branching so the wiring is tested before it touches production.
- Step 5 · Hand over
Leave you owning the backend
It's real Postgres, so you're never locked in. The schema, the migrations and the Edge Functions live in your repo and your project, and we walk your team through how it's structured so they can keep building. If you want to go deeper, our Supabase training covers schema, RLS and Edge Functions end to end. If you want us on call for what scales next, we talk about that separately.
We're judged on the backend that holds.
No partner badge to display, so we lead with what matters: feedback from the teams whose Supabase backend we built, and whether it stayed solid as they scaled and added users. Our Trustpilot reviews come from those teams, not from a marketing deck.
- The schema and migrations live in your repo, owned by your team
- RLS tested against real access patterns before launch
- Real Postgres, so you can self-host or export, never locked in
- Trustpilot reviews come from the teams we built backends for
Supabase, Firebase, RLS and cost, answered straight.
What does a Supabase agency actually do?
A Supabase agency builds your production backend on Supabase so it holds up as you grow, instead of leaving you with a quickstart project nobody locked down. In plain terms: we design the database (the tables and how they relate), write the permission rules that keep one customer's data invisible to another, set up user accounts and login, add live features and server-side logic where the product needs them, and connect the whole thing to your frontend through the ready-made API. What you get is a backend that is solid and yours, not a demo that leaks data the moment two customers log in.Is Supabase production ready in 2026?
Yes. Supabase runs on Postgres, a database that has been trusted in production for decades, and by 2026 the platform around it (Auth, Realtime, Storage, Edge Functions, pgvector) is mature and used by companies at real scale. The honest caveat is that production-ready is about how you build, not just the tool. A project with no Row Level Security, no migrations and Auth half-wired is not production-ready no matter how good the platform is. That gap, between what Supabase can do and what a rushed build actually does, is exactly the work we take on.Why Supabase instead of Firebase?
The difference is the database. Firebase gives you a proprietary document store; Supabase gives you real relational Postgres, with proper tables, joins, SQL, migrations and Row Level Security. For anything with structured data and multi-tenant access rules, that is a much stronger foundation, and because it is standard Postgres you can export it or self-host, so you are never locked in. Firebase can still be the better call for some fully managed or heavily realtime-first cases. We will tell you honestly if that is you rather than push Supabase for the sake of it.How much does a Supabase backend cost?
Our work starts from $2,000, and the final number depends on scope: a schema-and-login build for an MVP is nothing like a multi-tenant SaaS with permissions, Edge Functions, live data and AI search. We skip the flat package. We start with a free 60-minute audit to map your data model and what genuinely needs a backend, then quote a fixed scope, usually delivered somewhere between one week and six months. The Supabase hosting is separate and you pay Supabase directly, and we design the schema and usage so that bill stays predictable and you can self-host later if you want.How does Row Level Security work in Supabase?
Row Level Security is Postgres enforcing access rules inside the database, not in your app code. You write policies that decide which rows each user can read or write, and Supabase checks them on every request, even the ready-made API. That is what makes a Supabase backend safe for multi-tenant data: a bug in your frontend cannot leak another customer's rows, because the database itself refuses. We write and test these policies against your real access patterns first, since policies that look right and policies that hold under the awkward edge cases are not the same thing.Can you migrate us from Firebase to Supabase?
Yes, and it is one of the more common reasons teams call. We map your Firestore collections to a proper Postgres schema, rebuild your access rules as Row Level Security policies, move user accounts across, port your Cloud Functions to Edge Functions, and migrate the data, with the realtime and file-storage pieces rewired to the Supabase equivalents. We do it in stages so you are never down. The audit comes first: sometimes a clean full migration is the right move, sometimes a partial one is, and we will tell you which without dressing it up.How well does Supabase integrate with the rest of our stack?
Well, and that is a big part of why teams pick it. Every table gets a ready-made REST and GraphQL API plus a typed client, so your frontend (Next.js, WeWeb, FlutterFlow and the rest) reads and writes without a hand-built backend in between. Edge Functions handle webhooks, payments and third-party calls, and because we come from automation, we also wire Supabase into the tools you already run through n8n, Make or the API. Add pgvector and your AI features query the same database as everything else, so there is no separate service to keep in sync.Can Supabase handle AI features and embeddings?
Yes, that is one of its real strengths. Supabase ships pgvector, the extension that lets Postgres store and search embeddings (the number form text takes so a computer can match by meaning). Your AI search lives in the same database as the rest of your data, so semantic search, recommendations and retrieval for a chatbot query Postgres directly instead of bolting on a separate vector database. Because it is all one Postgres, your permission rules still apply, so the AI layer respects the same access control as everything else on the backend.When is Supabase not the right fit?
We will say so straight. If your team wants a fully managed proprietary stack and has no interest in owning the database, the permissions and the migrations, the operational model may not suit you. If your workload is non-relational, edge-heavy or built around globally distributed key-value access, something else may serve it better. Supabase shines when you want real relational data, multi-tenant access control and one integrated suite you can self-host. If that is not your case, we will tell you in the audit rather than sell you a backend you will end up fighting.How long does a Supabase backend take to build?
It runs from one week to six months depending on scope. A tightly scoped backend (schema, permissions, login and the core API wired to your frontend) sits at the short end; a full multi-tenant SaaS with live data, Edge Functions and AI search sits at the long end. We work in the same order every time, audit and schema first, then Auth and access, then the features your product needs, and we split it into batches so you get a usable, safe backend early rather than waiting on the whole thing before your frontend can talk to anything.
Stop bolting a backend together. Build it right.
A 60-minute audit, your data model mapped, a backend plan with the schema and RLS baked in. If your team can run it in-house after the build, we'll hand you the playbook. If we're the right fit, we build it.