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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.

Headquarters
Germany
Market coverage
Europe
Founded year
2024
Data last verified
2026-08-26

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 Modules

Spend AnalyticsSpend ClassificationMarket IntelligenceCost ModelingSupplier Risk Monitoring

Buyer Verification Guide

Use these neutral checkpoints when evaluating whether this company fits a specific procurement technology shortlist.

  • 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 Buyer Guides

Continue from this company profile into ProcurementAI resource guides for related workflows, regions, and buyer research paths.

Related Companies

Related companies are selected based on workflow category, use case overlap, and procurement relevance signals. They are not ranked recommendations or direct alternatives.

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ProcureVue
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Delvo
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Delvo provides AI agents for procurement request intake, demand clarification, supplier matching, and buying insights.

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Sievo
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Sievo provides procurement analytics software for large enterprises, helping procurement, finance, IT, and sustainability teams turn spend data into trusted insights, savings opportunities, ESG visibility, and decision support.

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Muir AI
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Muir AI provides AI-powered product intelligence for procurement and supply chain teams, helping teams model should-cost, analyze tariff exposure, classify HTS codes, and report product carbon footprints from product and bill-of-materials data.

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Based on shared category and overlapping use cases.