One governed platform. From fragmented data to procurement action.
Mithra connects your ERPs, P2P systems, invoices, and supplier data into a single governed source of truth then surfaces the savings opportunities your team can prioritize and act on.
The intelligence layer
Connect · Classify · Normalize · Enrich · Detect · Act
Five layers from raw data to measurable procurement outcomes
Most procurement teams work with data scattered across five or six systems none sharing the same supplier names, category codes, or structures. Mithra resolves this in five layers, each building on the last.
Connect every data source without a transformation project
Mithra connects through secure API connectors, database connections, SFTP extracts, and flat-file uploads. SAP, Oracle, Ariba, Coupa, Ivalua, Looker Studio, and any cloud data platform. No rip-and-replace. No months-long integration. Your data stays in your environment.
See all integrationsBuild a clean, classified, normalized data foundation
Atlas classifies every transaction line against your taxonomy, normalizes supplier names and hierarchies, and enriches records with external data. The result: a clean spend cube and supplier master your whole organization can trust.
Explore Atlas| Raw transaction | Normalized supplier | Category | Conf. |
|---|---|---|---|
| ACCENTURE B.V. #4471 | Accenture B.V. | Advisory | 98% |
| staples-nl ums | Staples B.V. | Stationery | 96% |
| DHL EXPRESS (DEU) | DHL Group | Freight | 94% |
| Delpharm Milano Srl | Delpharm S.A. | In review | 73% |
| FUJITSU-COMP 0098 | Fujitsu Ltd. | Compute | 95% |
Human-in-the-loop review at every critical decision point
Mithra never auto-publishes without your team's review. Every classification, normalization, and enrichment decision carries a confidence score and a reason code. Your team reviews, approves, adjusts, and signs off, full audit trail included.
See governance & securityWhy: No confident taxonomy match, possible new supplier entity. Needs a human decision before publish.
Why: Supplier name matches two taxonomy branches; spend pattern favors Contract Manufacturing.
Why: High-confidence auto-classification, logged with reason code for your audit trail.
Surface savings opportunities from the clean data layer
Pulse scans your governed data to identify supplier consolidation, purchase price variance, contract leakage, off-contract spend, invoice anomalies, and tail spend. Every finding is ranked by estimated impact and confidence.
Explore Pulseranked by impact × confidence
Turn insights into initiatives your team can track
Mithra converts prioritized opportunities into structured initiatives, assigned, tracked, and measured. CPO dashboards show savings pipeline by category, team, and status. Your procurement transformation has a source of truth.
See opportunity outputsTwo agent systems. One connected platform.
Mithra's platform is built around two specialized agent systems each a collection of agents that work together across the procurement data lifecycle.
Atlas
Cleans, classifies, normalizes, and governs your procurement data.
Atlas ingests fragmented spend, supplier, and contract data from any source. It classifies every line against your taxonomy, normalizes supplier entities into clean hierarchies, and enriches records with external data. Human-in-the-loop review and explainable AI are built in, not bolted on.
- Spend classification
- Supplier normalization
- Taxonomy generation
- Taxonomy optimization
- Data enrichment
- Governance & review
Pulse
Surfaces savings opportunities from your trusted data foundation.
Pulse scans your governed procurement data to find supplier consolidation, PPV, off-contract spend, contract leakage, payment terms, invoice anomalies, and category insights, prioritized by business impact so your team always knows what to tackle first.
- Supplier consolidation
- Purchase price variance
- Contract leakage
- Off-contract spend
- Invoice anomalies
- Category tail spend
Procurement can only be as intelligent as its data
Every AI-powered procurement initiative depends on the same thing: a clean, governed data foundation. Without it, agents hallucinate, dashboards mislead, and savings calculations can't be trusted. Mithra gives you that foundation, and the optimization layer on top of it.
Mithra operates at levels 2 through 5. Most procurement teams are stuck at level 1 or 2. We help them climb.
Use cases across the procurement data lifecycle
Data Foundation
- Spend classification against any taxonomy (UNSPSC, custom, hybrid)
- Supplier deduplication & hierarchy normalization
- Taxonomy generation from scratch with AI
- Taxonomy optimization for existing codebases
- Enrichment: DUNS, SIC/NAICS, sustainability flags
- Governance & review workflows for data stewards
Insight & Optimization
- Supplier consolidation opportunity identification
- Purchase price variance detection & root cause
- Contract leakage & off-contract spend tracking
- Invoice anomaly & duplicate detection
- Payment terms optimization analysis
- Category tail spend visibility & rationalization
Enterprise Architecture
- Multi-ERP, multi-entity, multi-currency harmonization
- BI-ready clean exports for Looker, Power BI, Tableau
- Clean data layer for AI agent projects
- Integration with SAP, Oracle, Ariba, Coupa, Ivalua
- Secure data handling for IT & compliance
First insights in weeks, not quarters
Mithra deploys fast because we've built the hard parts of procurement data normalization into the platform. You don't need a team of data engineers.
Share your data
Connect your sources or upload a sample. SAP/Oracle extracts, Ariba exports, CSV/Excel, SFTP, API. IT involvement is typically under one day.
Atlas cleans & classifies
Atlas classifies every line, normalizes every supplier, and enriches records. Your team reviews outputs with confidence scores and reason codes.
Pulse surfaces opportunities
Once the foundation is clean and approved, Pulse identifies your highest-impact opportunities ranked by estimated value.
Ongoing governance
Your clean data stays current. Mithra reprocesses on your cadence, updates classifications as your taxonomy evolves, and surfaces new opportunities.
Procurement data handled with enterprise-grade controls
Mithra is built for environments where data privacy, access control, auditability, and AI governance are non-negotiable. We support regional data hosting, SSO, role-based access, audit trails, and human-in-the-loop AI review as standard.
See full security & governance detail"Mithra helped us see our spend across 20+ markets for the first time. The classification accuracy and taxonomy depth were at a level our internal team couldn't have built in three times the time."
Group Procurement LeadSPAR GroupPlatform questions, answered.
See the platform on your own data.
Share a sample extract and we'll show you classified spend, normalized suppliers, and your first ranked opportunities in one session.