Teable
AI Spreadsheet for Business
1K followers
AI Spreadsheet for Business
1K followers
Turn your business data into AI workflows and custom apps. Connect any system, migrate any data, and build anything that fits your business 100%.
This is the 3rd launch from Teable. View more
Teable 3.0
Launching today
Turn your business data into AI workflows and custom apps. Connect any system, migrate any data, and build anything that fits your business 100%.
Free Options
Launch Team / Built With
Teable
Teable
@thys_beesman Brandon, this is exactly the kind of complexity we built Teable for. Migration preserves the structure and flags anything that needs attention. Automations also surface issues when the underlying data changes. We’d love for you to stress test it.
Teable
@thys_beesman We usually don’t promise a “100% migration.” We aim for 200%: not merely reproducing the old Airtable system, but making it significantly more capable.
Moving rows is the easy part. The real value lives in the relationships—linked records, references, lookups, rollups, formulas, permissions, and the business logic accumulated around them. Teable’s relational model can preserve that connected structure while giving you more powerful ways to reference, query, and operate on it, all backed by real PostgreSQL.
But migration is only the starting point.
Once that relational foundation is in Teable, you can build almost any AI workflow or custom app directly on top of it. Agents can understand and act across customers, contracts, owners, approvals, renewals, and communications—not as disconnected text, but as related business context. They can generate reports, request approvals, send reminders, update records, and power purpose-built applications without forcing you to scatter logic across automation platforms, scripts, databases, and app builders.
So where exact one-to-one legacy behavior makes sense, we reproduce it. Where the old system was constrained by Airtable’s limits, Teable gives you the freedom to rebuild it better.
That’s what we mean by 200% migration: your existing relational knowledge comes with you, but the system that emerges can be far more adaptable, automated, and intelligent than the one you left behind.
Give us your hardest linked-record workflow—not the clean demo base. That’s where Teable’s relational foundation, freely customizable AI workflows, and custom apps begin to unlock possibilities that a conventional migration tool simply cannot.
"AI workflows" built on top of spreadsheet data is the pitch but the interesting question is what the AI layer is actually doing, like is it generating formulas, automating data entry, running analysis on the data, or orchestrating multi-step workflows that call external APIs? Those are pretty different products and the listing doesn't distinguish between them, curious which one is actually the core use case Teable users are building toward.
Teable
@ansari_adin Ansari, it covers them all. Teams describe the business process they need, and Teable AI works across the data, automations, integrations, and custom apps needed to make it run. A lead workflow, for example, can include importing data, enrichment, routing, follow-up emails, and a dashboard in the same workspace.
Hey, the spreadsheet-that-is-really-a-database space is crowded, so curious where you land. In my experience the moment a team spreadsheet gets important it breaks, because five people edit it and nobody trusts the numbers. Does Teable handle permissions and audit trails well enough to be the real source of truth, or is it best as a fast front end?
Teable
@artem_fedorovich That’s exactly the problem Teable is built to solve—but we’re much more than a database-spreadsheet.
Teable is a complete environment for agents to operate in. Your data, apps, automations, permissions, audit trails, and collaborators all live in one place, backed by real PostgreSQL and mature, production-grade infrastructure. Instead of critical business context being scattered across spreadsheets, automation tools, internal apps, and disconnected AI agents, Teable brings it together into one trusted system.
That means the AI doesn’t work in a vacuum. It understands the live data, permissions, and workflows your team already relies on—and can act across them seamlessly. Complex configurations and automations that once required several tools, integrations, and months of custom development can now be built and operated through one coherent experience.
Our belief is simple: teams shouldn’t have to choose between the flexibility of a spreadsheet, the reliability of a database, and the power of AI agents. Software should adapt to the way your business works, while keeping every change controlled, traceable, and trustworthy.
So yes, Teable can absolutely be your real source of truth—but that’s only the foundation. What we’re really building is the place where your data and agents work together to run the business.
I strongly recommend giving it a try with one of your real team workflows. That’s when Teable truly clicks.
Teable
@artem_fedorovich Yes, Teable is designed to be the source of truth. Permissions and audit logs stay with the same data your team uses for apps and automations, so everyone works from one trusted system.
Teable
@tehreem_fatima5 Hi Tehreem, you’re spot on. This is where Teable’s granular permissions and audit logs really earn their keep as more people start working in the same base.
One of the most interesting launches today! The Postgres-as-substrate choice is what makes the agent story believable to me. And probably most 'AI acts on your data' pitches fall apart the second an agent writes something wrong across linked records. Wondering...when an agent runs a multi-step action and step 3 fails, does the whole thing roll back as one transaction?
Teable
@artstavenka1 Great question—and this is exactly why the underlying architecture matters.
Every step is logged and traceable, individual actions can be rolled back, and agent permissions can be tightly scoped to control what each agent is allowed to read or change. If something fails mid-run, the agent can inspect the failure, attempt a fix, and continue—instead of leaving you with an unexplained, half-finished result.
And inside a team, multiple agents can collaborate across the same connected data and workflow, each with its own responsibilities and permission boundaries.
So the goal isn’t just to let AI write to your data. It’s to make agent work observable, controllable, recoverable, and collaborative enough for real business operations.
Teable
@artstavenka1 Every step is logged and traceable. If something fails along the way, the agent will inspect it, try to fix it, and do its best to finish the job.
Being able to migrate linked records and attachments instead of only importing flat spreadsheets is a really valuable detail in my view. How much manual cleanup is typically needed after moving a more complex Airtable setup into Teable?
Teable
@nico_mandera Just ask GPT-5.6 sol to do it, 0 manual job! check then you can start building a new fully automated AI workflow in Teable !
Teable
@nico_mandera it’s more of a quick check than a cleanup job 😄 Linked records and attachments come along for the ride!
Teable
@nico_mandera Great question! Nico. No manual work is needed, unless you’d like to give everything a quick check before getting started.
Congrats on shipping Teable 3.0! 🎉 "Connect any system, migrate any data" is a bold promise — curious how deep the AI goes on the migration side: does it auto-detect schema/field types from messy source data, or do you still need to map fields manually before it builds the workflow?
Teable
@ryancheng Thank you! And yes—the AI goes beyond moving rows. It can understand messy source data, infer schemas and field types, and help map relationships before building the workflow. You can still review and adjust everything, but you’re no longer starting from a blank mapping screen.
Teable
@ryancheng From an ops perspective, this means less setup work and fewer mistakes. The AI handles most of the mapping first, and you just review and adjust anything that needs attention before moving the data.
Teable
@ryancheng Great question! Teable AI can identify schemas and field types even when the source data is messy, then map them automatically. You can adjust anything if needed.