Tesora - Automated Supplier Discovery & Due Diligence
Scale supplier sourcing without adding headcount
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Overview
Tesora builds the first AI procurement analyst that sources, qualifies, and manages vendors at scale for mission-critical industries like aerospace, defense, and advanced manufacturing.
Each Tesora analyst works like a real employee with their own email, phone number, calendar sync, and document management. They handle supplier discovery, qualification calls, RFP management, and parallel negotiations directly from your inbox. This creates procurement capacity that was never possible before.
Details
Procurement teams know they can unlock savings by reaching more suppliers and running more RFPs, but labor bottlenecks limit their ability to scale. Traditional solutions like Coupa and Ariba are point tools that break down with complex suppliers and unique pricing agreements. Despite years of procurement tech development, buyers still operate primarily through email.
Tesora closes the entire loop end-to-end. The AI analysts turn fragmented vendor documents, contracts, and emails into structured data while building intelligent workflows that automate everything from approvals to supplier follow-ups. They connect with existing ERPs and systems via middleware.
🤖 AI Procurement Analysts: Each agent has email, phone, calendar, and document tools to work like real employees
🔍 Automated Supplier Discovery: Find and qualify hard-to-source suppliers faster across mission-critical industries
📧 Direct Communication: AI agents handle supplier outreach, calls, and negotiations through voice and email
📊 Structured Data Creation: Turn fragmented vendor documents into interoperable, searchable procurement data
⚡ Infinite Scale: Run parallel negotiations and RFPs without adding procurement headcount
🎯 Mission-Critical Focus: Specialized for aerospace, defense, and advanced manufacturing procurement needs
The platform gives teams infinite capacity to negotiate at depth and capture cost savings that were previously impossible due to resource constraints.
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✨ Features:
Launched
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