In partnership with @MisakoShop , we built a conversational platform that predicts demand, flags stockouts, and proposes store-to-store redistribution across 220 stores. Discover full case study in the first comment 👇 #MISAKO #AIAgents #AIRetail #TimbalAI

One of the Top 5 Products of the Day on @ProductHunt, all day last Tuesday, July 9th. But that's not actually the part that stayed with us. We spent 24 hours straight on Product Hunt answering every comment, working through every question, listening to every piece of feedback. Thank you to everyone who was there. We felt all of it. The Timbal team🚀 #ProductHunt #AI #Saas #SelfServiceAI

Timbal AI - Agents, workflows, knowledge and Interfaces youtu.be/6wj_tUvQDxw?si=QYwl… via @YouTube Stack by @martinorberto

@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.