
Founded by Vivek Rao & Federico Reyes Gomez
Vivek: Former private equity investor at Sycamore Partners ($14B AUM) and consultant at McKinsey & Company. BA/MBA in Economics & Finance from UChicago.
Federico: Former AI researcher in graph neural networks, founding engineer at Kumo AI (fastest promotion), and member of Google’s Doc AI team. BS/MS in Computer Science from Stanford.

Procurement teams know they can unlock savings and stronger terms if they could reach more suppliers, run more RFPs, and get more high quality quotes to build leverage in negotiations. The current bottleneck in this process is labor:
The result is slower sourcing, higher prices, and missed savings.
Tesora is the first AI procurement analyst that replicates the work of a sourcing team. Each analyst comes with the tools of a real employee: their own email and phone to reach suppliers directly, calendar sync for deadlines and reviews, a document hub for specs and quotes, and tasks to manage qualification and onboarding.
These analysts can:
This closes the loop end-to-end, giving teams infinite scale to source, negotiate, and capture savings, while building a structured supplier database that compounds in value over time.
Procurement has always been seen as a massive market, but every prior solution has been a point tool. Suites like Coupa and Ariba automate narrow workflows but break down with heterogeneous suppliers, unique pricing agreements, and varying SLAs. Despite years of development in procurement tech, buyers still operate out of email with their suppliers.
With the advent of agents, teams can finally rebuild procurement as an AI-native function embedded where they work. Tesora analysts manage supplier qualification, RFPs, parallel negotiations, and auction-like dynamics directly from the buyer’s inbox. For the first time, procurement teams can scale infinitely, negotiate at depth, and capture savings that were never possible before.
Mission critical industries including aerospace, defense, and advanced manufacturing
