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Mithra

Mithra

Agentic spend intelligence layer for procurement teams to clean, classify, and act on spend data.

Primary workflow
Strategy & Spend Intelligence
AI role
Agentic
Headquarters
Germany

Overview

Public profile summary for buyer research and vendor discovery.

Agentic procurement spend intelligence layer; cleans/classifies spend data and surfaces savings opportunities with data/value agents.

Vendor company size
1-10 employees
Primary users
Category Management
Industries served
Retail & E-commerceManufacturingFood & Beverage
Customer size served
Enterprise
Integrations
Coupa, SAP Ariba, SAP S/4HANA, SAP ECC, Oracle E-Business Suite, Microsoft Dynamics 365, Infor, Ivalua, JAGGAER

Confirm product versions and connection requirements with the vendor.

Headquarters
Germany
Market coverage
Europe
Founded year
2024
Last updated
2026-10-11

Classification

This classification helps buyers understand where the company appears to fit within the AI procurement technology market. It is not a ranking or endorsement.

Key capabilities

Spend AnalyticsSpend ClassificationMarket IntelligenceCost ModelingSupplier Risk Monitoring

Questions to ask the vendor

Use these questions to check whether this company fits your procurement needs.

  • Confirm the product scope for Strategy & Spend Intelligence workflows.
  • Verify fit for Spend Analytics, Spend Classification, and Market Intelligence.
  • Validate the practical AI scope behind the agentic AI role label.
  • Check support coverage for Europe.

Related guides

Explore guides for related procurement workflows, markets and industries.

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ProcureVue
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Delvo
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Suplari
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Suplari unifies and classifies spend, supplier and contract data from existing business systems. Procurement teams use the platform to investigate savings, monitor supplier and contract risks, and track opportunities through realized financial impact. AI workers monitor changes, prepare research and initiate governed workflows, including sourcing or catalog actions that require human approval.

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Based on shared workflows and overlapping use cases.