The Airtable agency.One base your ops trust.
A spreadsheet someone calls a database is where Airtable goes wrong. We design the real relational model, build Interfaces as internal apps so non-technical teams never touch raw tables, and wire Automations and the API into your stack.
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GeminiAn Airtable agency designs the system, not just the seats.
Anyone can open a base. Designing the relational model, building Interfaces your team trusts, and wiring it into your stack is a different job. Here are the four things we own.
- Data model
Relational bases designed, not just spreadsheets
Most Airtable that hurts is a spreadsheet someone called a database. We design the real model: tables, fields with the right types, linked records that connect your data instead of duplicating it, and rollups and lookups that compute across relations. Views (grid, kanban, calendar, gallery) get scoped per team so each person sees their slice, not the whole mess. You end up with one source of truth your ops can actually trust.
See a typical build - Interfaces
Interfaces built as lightweight internal apps
Your team shouldn't edit raw tables to get work done. We build Interfaces that act like internal apps: a clean dashboard for ops, a record review page for approvals, a pipeline board for sales, each one wired to the underlying base with the right filters and permissions. Non-technical people get exactly the buttons and fields they need, and nobody breaks the data by clicking the wrong cell.
See the method - Automations & API
Automations and the API, wired into your stack
A base that just sits there is a fancy spreadsheet. We wire Airtable Automations and the scripting extension for the repetitive work (status updates, notifications, record creation, syncs), then connect it to your stack through the REST API, Make and Zapier: your CRM, Slack, Google Workspace, Shopify, your billing tool. Sync brings external data in, the API pushes it out, so Airtable becomes the hub your tools talk to.
See the integrations - AI & enablement
Airtable AI where it earns it, and a team that owns the base
We add Airtable AI (Omni) where it actually saves time (summarising records, drafting fields, categorising) instead of sprinkling it for show, and we train your team to extend the base without us. We're an automation and AI agency first, so the base plugs into how you already work. If you want AI agents on top of your data, our wider AI work covers that too.
See AI enablement
We build Airtable like a database, not a spreadsheet with colours.
Most Airtable builds rot the same way: one giant table, formulas nobody trusts, data duplicated everywhere, and a team that quietly goes back to a spreadsheet. So we treat it as what it is: a relational base designed properly, Interfaces that act like apps, Automations for the busywork, and a team trained to own it.
- Audit · map your ops, your data, and where spreadsheets are breaking down
- Design · the relational schema, linked records and views that hold up
- Build · Interfaces, Automations and the API wired into your stack
- Enable · train the team and hand over a base they own and extend
We run our own ops on Airtable every day.
We don't sell a partner tier. We run real work on Airtable, so we design the base the way it actually scales: a clean relational model, linked records instead of duplicates, Interfaces for the people who aren't in the tables, and Automations that hold up. And we'll tell you when Airtable is the wrong tool before you build on it.
- We run our own ops on Airtable, so we design the base the way it actually scales, not the way a template demo suggests.
- We tell you when Airtable is wrong: truly relational, high-volume or transactional workloads belong on a real database, and we'll say so before you build.
- You leave autonomous: the schema, Interfaces and Automations are documented, so your team extends the base without us.
- No badge to sell. We're judged on whether your ops actually run on the base after we leave, not on a partner tier.
Airtable at the core, your stack connected around it.
We build the parts that turn a base into a system your ops run on, then connect them to the tools you already use. Here's what a real Airtable build covers.
- Setup
Base & schema design
We design the relational schema: tables, field types, linked records, rollups and lookups, so your data connects instead of duplicating, and the model holds up as your ops grow instead of collapsing into one giant table.
- Setup
Interfaces (internal apps)
We build Interfaces as lightweight internal apps: dashboards, record review pages, pipeline boards, each scoped with the right filters and permissions so non-technical teammates get the buttons they need and never touch raw tables.
- Setup
Automations & scripting
We set up Airtable Automations and the scripting extension for the repetitive work: status changes, notifications, record creation, recurring rollups, so the base does the busywork instead of your team doing it by hand.
- Setup
REST API, Make & Zapier
We connect Airtable to your stack through the REST API, Make and Zapier: your CRM, Slack, Google Workspace, Shopify, billing, so data flows both ways and Airtable becomes the hub, not another silo.
- Setup
Sync & permissions
We wire sync to bring external sources into Airtable and back, and set workspace and field-level permissions so the right people edit the right things and the source of truth stays clean.
- Setup
Airtable AI (Omni)
We add Airtable AI where it saves real time: summarising records, drafting and categorising fields, surfacing answers across a base, scoped so it helps your team rather than adding noise to the data.
We map your ops, you leave with a plan.
Before quoting anything, we take 60 minutes to look at your data, your spreadsheets and where they're breaking down. You leave with an honest read on whether Airtable is the right home, how to model it, and what to build first. Zero pitch, just a builder's take on your ops.
- An honest read on whether Airtable fits your ops
- The relational model and views to design first
- The Interfaces and Automations worth building
- A frank take on when a real database wins instead
How we run an Airtable build.
Five steps, in order. We don't build Interfaces before the schema is right, we don't wire Automations before the model holds up, and your team owns it at the end. Each step has a deliverable and you sign off before we move on.
- Step 1 · Ops audit
Map where your spreadsheets are breaking down
We sit down with the team that lives in the data and look at the real pain: duplicated records, formulas nobody trusts, exports glued together by hand, a shared sheet five people overwrite. We check what you already run and what needs to connect. Half the value is telling you whether Airtable is the right home for this, or whether a real database fits better, before you build anything.
- Step 2 · Schema design
Design a relational model that holds up
We design the base properly: tables, the right field types, linked records that connect your data, rollups and lookups that compute across relations, and views scoped per team. The goal is one source of truth that stays clean as you add records, not a spreadsheet with extra steps that falls apart at scale.
- Step 3 · Build Interfaces & Automations
Interfaces as apps, Automations for the busywork
We build Interfaces so your team works through clean internal apps instead of raw tables: dashboards, approval pages, pipeline boards, each scoped with the right permissions. Then we wire Airtable Automations and the scripting extension for the repetitive work, so the base updates statuses, sends notifications and creates records on its own.
- Step 4 · Integrate
Connect it to your stack via API, Make and Zapier
We connect Airtable to the tools you already run through the REST API, Make and Zapier: your CRM, Slack, Google Workspace, Shopify, billing. Sync brings external data in, the API pushes it out, so Airtable stops being another silo and becomes the hub your stack talks to. Everything ships with its permissions and a clear data flow from day one.
- Step 5 · Enable & hand over
Train the team, then get out of the way
We train the people who use the base every day on how the model works, how to extend Interfaces, and how to add an Automation without breaking things. The schema and flows are documented so new hires inherit them. If you want to go deeper, our no-code and automation training covers Airtable end to end. If you want us on call for what scales next, we talk about that separately.
We're judged on the ops that run on it.
No partner badge to display, so we lead with what matters: feedback from the teams whose Airtable system we built, and whether they kept running their ops on the base after we left. Our Trustpilot reviews come from those teams, not from a marketing deck.
- The schema, Interfaces and Automations are documented and yours
- One source of truth, not five spreadsheets nobody trusts
- The base extends without us, by the team that uses it
- Trustpilot reviews come from the teams we built for
The questions we get asked on repeat.
What does an Airtable agency actually do?
An Airtable agency designs and builds the system, not just the seats. We design the relational base (tables, linked records, rollups, lookups), build Interfaces as internal apps so non-technical teams work without touching raw tables, wire Airtable Automations and the scripting extension for the repetitive work, and connect it to your stack through the REST API, Make and Zapier. The point is ops that actually run on the base, not another shared spreadsheet five people overwrite.How much does an Airtable build cost?
It depends on scope: a single base with a couple of Interfaces is nothing like a connected system of bases with Automations and live API syncs into your CRM and billing. We don't throw out a flat package. We start with a free 60-minute audit to map your ops and decide whether Airtable is even the right home, then quote a fixed scope. The Airtable plan itself you pay Airtable directly; we design the workspace so seats and usage stay predictable.When is Airtable the wrong tool for the job?
When the workload is truly relational, high-volume or transactional. Airtable is excellent as a database-spreadsheet hybrid for ops, CRM, project tracking and content, but it has row limits per base and it isn't a transactional backend. If you're handling millions of rows, complex joins, or an app that needs strict consistency and a real query layer, a proper database like Postgres or Supabase behind a real backend wins. We'll tell you that in the audit instead of forcing a base that breaks later.Can you build Interfaces as internal apps for our team?
Yes, that's where most of the value lands. Interfaces let us build app-like screens on top of your base: a dashboard for ops, a record review page for approvals, a pipeline board for sales, a calendar or kanban view per team. Each one is scoped with filters and permissions so people see and edit only what they should. Your non-technical teammates get exactly the buttons and fields they need, and nobody breaks the data by editing the wrong cell.Can you connect Airtable to our CRM and other tools?
Yes. We connect Airtable to your stack through the REST API, Make and Zapier: your CRM, Slack, Google Workspace, Shopify, billing, internal APIs. Sync pulls external sources into Airtable, and the API or an automation pushes updates back out, so data flows both ways. The aim is Airtable as the hub your tools talk to, with one clean source of truth, not yet another disconnected silo your team copies data into by hand.What can we automate inside Airtable?
Airtable Automations cover the repetitive work without code: trigger on a record change or a schedule, then update fields, create records, send notifications, post to Slack, or run a script through the scripting extension. We build the flows that eat your team's time, like status updates, reminders, recurring rollups and handoffs between teams, and connect the heavier logic to Make, Zapier or the API. The base does the busywork so your team works on the records that matter.Is Airtable AI worth turning on?
Sometimes. Airtable AI (Omni) can summarise records, draft and categorise field content, and surface answers across a base, which is genuinely useful for triage, tagging and content work. It's not magic and it isn't right for every base. We add it where it saves real time and skip it where it just adds noise, and we'll tell you honestly which side your use case falls on rather than sprinkling AI on for the demo.Do you train our team or just build it?
Both, and the training is where a base survives. A system nobody understands gets abandoned for a spreadsheet within a month. We train the people who use the base daily on how the model works, how to extend Interfaces, and how to add an Automation safely, and we document the schema and flows so new hires inherit them. If you want to go deeper, we run no-code and automation training that covers Airtable end to end so your team builds the next base without us.
Stop fighting spreadsheets. Build the base right.
A 60-minute audit, your ops mapped, a build plan with the relational model and integrations baked in. If your team can run it in-house after setup, we'll hand you the playbook. If we're the right fit, we build it.