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
Launched this week
Turn your business data into AI workflows and custom apps. Connect any system, migrate any data, and build anything that fits your business 100%.
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building software through natural language could change how teams operate. how does Teable ensure generated applications remain easy to maintain over time? can users modify everything after AI creates it?
Teable
@james_carter35 Yes—everything remains yours to modify after the AI creates it. Natural language is the fastest way to get from an idea to a working first version, not a black box that locks you into generated output.
The app stays connected to the same relational data, permissions, and workflows underneath it, so it can evolve as the business changes. You can continue refining it with AI or edit its configuration directly. We want AI-built software to be living business infrastructure, not disposable demo code.
Teable
@james_carter35 Yes. The app remains fully editable after Teable AI creates it. You can keep refining it through natural language or make changes directly as your needs evolve.
Congrats on 3.0! The Postgres foundation is what sold me. Most “AI acts on your data” tools break the second an agent touches linked records. You built on real relational structure instead. Smart bet.
One question: how do you see Teable fitting next to tools people already use? I’ve got data in Notion, Drive, and Jira. Would Teable be the source of truth those sync into, or are you asking teams to move in fully?
Either way, I want to try it on a real workflow.
Teable
@tmaleh_ We don’t think adopting Teable should require replacing every tool on day one. Notion, Drive, and Jira can continue doing what they do well, while Teable becomes the connected operational layer where structured business data, workflows, apps, and agents come together.
For some teams, that gradually makes Teable the source of truth. For others, it remains the system that connects and acts across existing sources. The important part is that the agent works with real relational context instead of creating yet another isolated AI app.
And yes—please test it with a real, messy workflow. That’s where Teable makes the most sense.
Teable
@tmaleh_ You can start with one workflow and keep the tools you already use. Teable brings the data and operations for that workflow together, and can gradually become the source of truth as you move more over.
Third launch and still shipping this hard — congrats. The "migrate any data"
part is what catches my eye; that's usually where these tools quietly fall
apart once your source data is messy.
Curious how it handles migrations where the schema doesn't map cleanly — does
it try to infer structure, or do you have to define the mapping upfront?
Teable
@transferiq Joogon, thanks! Teable AI analyzes the source data and infers the structure and field mapping for you, so you don’t need to define it upfront. You can still give it a quick check if you want.
Teable
@transferiq Thank you—and you’re right, messy data is the real test.
Teable’s AI can inspect the source data, infer its structure, field types, and relationships, then propose a mapping instead of requiring you to define everything upfront. You can review and adjust the result before committing it.
Toki: AI Scheduling & Tasks
Teable
@sophialgrowth Sophia, absolutely! That’s a great use case for Teable. You can tailor the pages, actions, and data each group sees based on their role, while built-in login handles sign-in and app access. Everything runs on the same Teable data and workflows.
hey congrats on the launch! quick question: how do you handle permissions and history logs since many people can just edit and change data that can tangle the rest of the workflow?
Teable
@mathias_barboza Hi Mathias, thanks! Teable’s Authority Matrix lets you control access at the table, field, and record levels, including specific actions. Record history shows who changed what and when, while audit logs keep key operations traceable as more people work in the same base.
How does the data sync work when you're pulling from multiple sources that update at different schedules? That's always where the real complexity hides in these multi-system setups.
Teable
@talhakhalidmtk Muhammad, good question. In Teable, each source can update on its own schedule while everything flows into the same workspace. Each run is tracked, so teams can keep their data current without coordinating every source manually.
Congratulation on the launch Teable 3.0 team! Really amazing stuff 🎉
Most AI-native database tools are moving toward autonomous agents. How do you see Teable balancing user control and transparency with AI-driven actions, especially when agents are modifying business-critical data at scale?
Teable
@ecopreneurphil Philip, thanks! Our approach is to give agents clear permission boundaries and keep every action visible and traceable. Teams stay in control of what agents can access and change, while agents can still carry the work through to completion.