Launched this week
Timbal helps teams turn AI prototypes into production systems. Build agents and workflows, connect them to your data, design interfaces, deploy, monitor, evaluate, and govern everything from one platform. Instead of assembling separate tools for retrieval, orchestration, UI, observability, and evals, Timbal gives you one core for shipping reliable AI applications.
Agent 37
i find myself switching between too many AI tools during a signle project. having one platform for the whole workflow sounds much more manageable . less time configuring tools usually means more time improving the product itself.
Timbal AI
@amanda_silmon That's the exact reason this whole thing exists, Amanda!
We got tired of watching people spend more time configuring tools than actually building the thing they cared about.
Since you're here and clearly get it, we're giving away 40,000 free credits right now for anyone who wants to put Timbal through a real project. Would love to see what you'd build with it 🙌
Timbal AI
@amanda_silmon @inescastillo Thanks for the support, Amanda! I used to have the same issue before Timbal, it saves a lot of time and makes everything much more efficient :)
Congrats everyone! Composer will get the attention because it's the flashy front door, but the real value here is what happens after you build something (how it's run, traced, and governed). That's the part most tools skip and it's exactly where projects usually fall apart once they're live.
Timbal AI
@marc_matas Yeah exactly, this is precisely the split we think about a lot internally. Composer is the fun part people notice first, but production is where it actually gets hard. After a bit, "worked in testing" is just not good enough anymore. That's why tracing, evals, and governance are built in from the start instead of something you bolt on after it breaks once. Thanks for your support!!
@marti_norberto I appreciate that this isn't just another agent builder. It feels like you're trying to solve the production side of AI as well. That's the part I usually end up spending the most time on.
Timbal AI
@marti_norberto @aduma__emmanuel That's the part that took us the longest to get right, and honestly the part most builders underestimate until they're already in production and things start breaking in ways they can't trace.
Getting an agent to work is the easy 10%. The other 90% is retrieval, observability, evals, permissions, all the stuff that never shows up in a demo but decides whether you can actually trust the thing with real users. That's the whole reason Timbal exists.
Hello Pedro, building agents is getting easier every day, but deploying and maintaining them is still a challenge. Nice to see a platform tackling the whole lifecycle.
Timbal AI
@mathew_chang Thank you your support, Mathew! We are very proud that we manage to tackle the whole lifecyle, we believe it is a big step forward!
I've noticed that every new AI projects seems to introduce another tool into the stack. If Timble can replace even a few of those I can see value straight away.
Timbal AI
@edith__christian Edith, exactly the pattern we kept running into with our own clients before building this.
Every new AI initiative meant another subscription, another auth flow, another thing to monitor separately.
Happy to get specific if it helps. What's currently in your stack that you'd want to see replaced first? That tells us a lot about where the pain is actually concentrated.
Timbal AI
@startup_guy Hello! You can jump in directly at timbal.ai
Timbal AI
@startup_guy @inescastillo You have 40K free credits today!
Pedro, the gap between a slick demo and something a team leans on every single day is where most things quietly fall apart. Seeing that treated as the main event is what caught my eye here.