Traza Raises $2.1M Pre-Seed to Automate Procurement and Supply Chain Operations with AI
Procurement has been quietly breaking under its own weight for years. Not loudly, not dramatically, just slow leaks. Missed emails, delayed approvals, suppliers waiting on responses that should have come yesterday. Billion dollar operations running on systems that were never designed for the pace they are now expected to keep. Traza walks into that reality without trying to dress it up, and if you are tracking where real change is happening inside the startup ecosystem, this is where things start to get interesting.
Traza, based in New York, closed a $2.1M pre seed round led by Base10 Partners, with Kfund, Andreessen Horowitz Scouts, Clara Partners via Clara Ventures, and Masia Ventures participating, alongside angel investor Pepe Agell. This is capital clustering around a very specific thesis. Not intelligence layered on top, but execution embedded underneath. The kind that touches cost centers, not just dashboards.
Silvestre Jara Montes, CEO and Co Founder, with Co Founders Santiago Martínez Bragado and Sergio Ayala Miñano, are building AI workers that operate inside procurement and supply chain workflows the way experienced operators would, except they do not sleep, stall, or forget to follow up. RFQs get handled, suppliers get chased, orders get tracked, invoices get reconciled. The work does not wait for visibility, it moves with intent.
That distinction matters. Most software in this category has trained teams to observe. Traza is training systems to execute. Plugging into ERP, TMS, WMS, inboxes, and document layers, their platform is less about insight and more about throughput. And in sectors like manufacturing and construction, throughput is the difference between margin and missed targets.
Zoom out for a second and the pattern sharpens. The startup ecosystem is shifting from tools that inform to systems that act. The winners are not the ones with the cleanest UI, they are the ones closest to the operational heartbeat of an enterprise. Traza is not trying to make procurement prettier. They are compressing the time between decision and action until the gap barely exists.
There is also discipline in how this came together. 3 founders with technical depth and domain awareness, building alongside real enterprise environments, then aligning with investors who understand both AI and industrial scale. No noise, no theater, just a tight feedback loop between product, problem, and capital. That is the kind of signal the startup ecosystem tends to reward quietly before it becomes obvious.
Traza is betting that execution is the next interface. Not another screen, not another alert, but work getting done without asking permission every step of the way. If that lands, the companies adopting it will not be talking about transformation. They will just be operating on a different clock, and everyone else will feel it.
