Agency · Supabase · Postgres backend

The Supabase agency.A backend that holds.

Supabase is real Postgres with Auth, Realtime, Storage and Edge Functions, the open-source Firebase alternative, but a quickstart with no Row Level Security leaks data the moment two tenants log in. We design the schema properly, lock it down with RLS, build the Auth and features you need, and wire it to your frontend.

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★★★★★Verified Trustpilot reviews · AI, automation & growth agency

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What we do

A 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.

Method · 4 stages

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
Walk me through the method
Differentiator · no badge

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.
  • 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.
Show me a typical build
What we set up

Postgres at the core, the Supabase suite around it.

We configure the parts that turn Supabase into a backend you can trust in production, then connect them to how your frontend ships. Here's what a real build covers.

  • Setup

    Schema design & migrations

    We model your data in Postgres with the right relations, constraints and indexes, then set up migrations so every schema change is versioned, reviewed and reversible instead of clicked in a dashboard and forgotten.

  • Setup

    Row Level Security policies

    We write the RLS policies that make multi-tenant data safe by default, so a user can only ever read and write their own rows, and test the policies against the access patterns your app actually uses.

  • Setup

    Auth & access model

    We set up Supabase Auth (email, magic links, OAuth, SSO), map roles and tenants to RLS, and wire auth hooks and custom JWT claims so your permission model holds up under invites, role changes and org switching.

  • Setup

    Realtime & Storage

    We wire Realtime (Postgres changes, presence, broadcast) for live features and Storage with RLS for user-owned files, adding each only where your product genuinely needs it, not by default.

  • Setup

    Edge Functions & APIs

    We build Edge Functions for server-side logic (webhooks, payments, third-party calls) and expose your data through the auto-generated REST and GraphQL APIs with the typed client your frontend consumes.

  • Setup

    pgvector & branching

    For AI features we set up pgvector for embeddings, semantic search and RAG on the same Postgres, and use database branching so schema work is tested on a branch before it touches production.

Free audit · 60 minutes

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 RLS to design first
  • The features (Realtime, Edge Functions, pgvector) worth building
  • A frank take on what doesn't need a backend yet

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Or send your brief instead
Our approach

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.

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

Proof · what the teams say

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
Talk to the team
FAQ · Supabase agency 2026

The questions we get asked on repeat.

  • What does a Supabase agency actually do?
    A Supabase agency builds your production backend on Supabase so it holds at scale, instead of leaving you with a quickstart project nobody locked down. We design the Postgres schema, write the Row Level Security policies that keep multi-tenant data safe, set up Auth and your access model, build Realtime, Storage and Edge Functions where the product needs them, and wire it all to your frontend through the typed API. The point is a backend that's solid and yours, not a demo that leaks data the moment two tenants log in.
  • How much does a Supabase backend cost?
    It depends on scope: a schema-and-Auth build for an MVP is nothing like a multi-tenant SaaS with RLS, Edge Functions, Realtime and pgvector for AI. We don't throw out a 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. The Supabase hosting itself you pay Supabase directly; we design the schema and usage so the bill stays predictable and you can self-host later if you want.
  • Why Supabase instead of Firebase?
    Supabase is the open-source Postgres alternative to Firebase, and the difference is the database. Firebase gives you a proprietary document store; Supabase gives you real relational Postgres with relations, constraints, joins, SQL, migrations and Row Level Security. For anything with structured data and multi-tenant access rules, that's a much stronger foundation, and you can self-host or export it because it's standard Postgres. Firebase can still be the better call for some realtime-heavy or fully managed cases, and we'll tell you if that's you.
  • How does Row Level Security work in Supabase?
    Row Level Security is Postgres enforcing access rules at 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 query, even the auto-generated API. That's what makes a Supabase backend safe for multi-tenant data: a bug in your frontend can't leak another tenant's rows, because the database refuses. We write and test these policies against your real access patterns first, because RLS that looks right and RLS that holds under edge cases are different things.
  • Can you migrate us from Firebase to Supabase?
    Yes, and it's a common reason teams call us. We map your Firestore collections to a proper Postgres schema, rebuild your access rules as RLS policies, move Auth across, port your Cloud Functions to Edge Functions, and migrate the data, with the realtime and storage pieces rewired to the Supabase equivalents. We do it in stages so you're never down. The audit comes first: sometimes a clean migration is the right move, sometimes a partial one is, and we'll tell you which honestly.
  • Can Supabase handle AI features and embeddings?
    Yes, that's one of its strengths. Supabase ships pgvector, the Postgres extension for storing and querying embeddings, so your vector search lives in the same database as the rest of your data. We set it up for semantic search, recommendations and RAG, so your AI features query Postgres directly instead of bolting on a separate vector database. Because it's one Postgres, your RLS policies still apply, so the AI layer respects the same access rules as everything else.
  • When is Supabase not the right fit?
    We'll tell you straight. If your team wants a fully managed proprietary stack and doesn't want to own Postgres, RLS and 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 an integrated suite you can self-host. If that's not your case, we'll say so in the audit rather than sell you a backend you'll fight.
  • How long does a Supabase backend take to build?
    For a scoped backend (schema, RLS, Auth, the core API wired to your frontend), count 2 to 4 weeks: audit and schema first, then Auth and the access model, then the features your product needs. A full multi-tenant SaaS with Realtime, Edge Functions and pgvector runs longer. We split into batches so you get a usable, safe backend fast, rather than waiting on the whole thing before your frontend can talk to anything.
Build on Supabase

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.

Book the free 60-min auditSee the agency
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