Timbal AI @Timbal_AI
The end-to-end AI ecosystem for enterprise teams. Build, deploy, and scale production agents, workflows, and interfaces. timbal.ai Barcelona, Spain Joined May 2026-
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@codedbygene Hey, thank you for the mention! We will keep going!
We're live on Product Hunt today 🚀 We'll be in the comments all day, feedback and upvotes always welcome. Product Hunt link: producthunt.com/products/timba… #AI #AIAgents #ProductHuntLaunch #LLM
@AliceInfoAi Thank you Alice, we really appreciate the support!
@thestartpod @martinorberto @ProductHunt Hey, thanks for the support! 🙏
@david_vilalta1 Thank you David! Really appreciate the support!
@aryaan_smm Appreciate the upvote, thank you! 🙌
@aaliya_va Thank you so much for the support! 🙏 Means a lot on launch day.
Timbal AI - Agents, workflows, knowledge and Interfaces youtu.be/6wj_tUvQDxw?si… via @YouTube Stack by @martinorberto
40,000 free credits. Early access is open. 🎁 Build something with Timbal before spots run out → timbal.ai
@happy_scribe is now integrated in Timbal. Every meeting becomes a knowledge repository, summary, transcript, key takeaways, metrics, all inside a fully responsive interface. See it all connected though nodes in a knowledge graph, or just ask the analyst agent, who said what, in which meeting, on what date.
Timbal Studio lets you control exactly what each person can do, by org, by scope, by project. Multiple roles per user. Permissions down to the domain. Budgets aren't just per project, set them per role too. Governance over the product makes a difference.
Manage, audit, and validate every invoice in one place. A practical use case built in Timbal Studio.
We are building Timbal Studio to kill the Franken-Stack. One tool for orchestration. A separate vector database. Another service for the UI. Custom glue code holding it all together. And a prayer that nothing breaks on Friday afternoon.
A Knowledge Base in Timbal isn't just a place to upload information. It's where you define how the knowledge in your AI application is organized. No need to start writing code or thinking about architecture, just a plain instruction to Composer about what you need.
This is what 100+ native integrations look like.
Workforce agent embedded in the interface, querying and closing tickets just by being asked. 📖 "Interfaces are the last mile of AI" by team members, link in the comments.
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