A clean, governed data foundation for AI.
Agents classify every line, normalize every supplier, and govern every change, explainable, with human review.
AI fails when the data underneath it is broken.
Names in five formats, categories assigned by hand, ERPs that disagree, data never built to be analyzed.
The result: dashboards no one trusts. Mithra fixes the data itself, line by line, with your team in control.
Misclassified spend
Lines bucketed into "Other" or the wrong category entirely.
Duplicate suppliers
The same vendor in 8–12 name variants across systems.
Taxonomy gaps
Categories that don't match how the business actually buys.
Unmatchable invoices
Invoice data lacking the line-level detail analysis needs.
Six specialist agents.
One governed data foundation.
Categorization Agent
Classifies every line against any taxonomy with a confidence score and reason code. 97%+ accuracy, no manual input.
Normalization Agent
Collapses 8–12 name variants into one clean supplier master, enriched with reference data.
Taxonomy Agent
Builds a bespoke taxonomy and governs it over time. Every change reviewed by your team before it goes live.
Enrichment Agent
Adds external intelligence to every record: risk, price index, market intelligence, and ESG signals.
Material Harmonization Agent
Aligns entities, currencies, and cost centers across systems into one trusted view.
Contract Agent
Extracts terms and prices from contracts and links them to spend, surfacing off-contract buying and price leakage.
Your taxonomy is the backbone of every insight.
Not a list of codes, the vocabulary that makes spend data meaningful. The telltale sign of a bad one: an "Other" bucket swallowing 15–30% of spend.
- Build, optimize, maintainFrom scratch, or improve what you have on your change cadence.
- Merge, move, and edit with governanceEvery structural change is reviewed and approved by your team.
- Enforced at every ingestion pointNew data is classified against your living taxonomy automatically.
One supplier identity across every system.
The same supplier shows up in 8–12 name formats. Mithra resolves them into clean hierarchies, typically a 40–60% drop in supplier count.
- Entity resolution & merge historyEvery supplier merge shows its full lineage and is fully reversible.
- Parent / child hierarchySee total spend with a corporate group, not scattered across aliases.
From raw data extract to governed procurement intelligence
A confidence score and reason code on every decision.
No black box. See the logic, challenge it, override it, and the agents learn from every correction.
Why: Analyzing supplier name and spend pattern against your taxonomy.Why: Matched on supplier profile and line description; logged with reason code for audit.
Why: Supplier name matches two taxonomy branches; comparing spend patterns.Why: Spend pattern favors Contract Manufacturing; logged with reason code for audit.
Why: High-confidence auto-classification, logged with reason code for your permanent audit trail.
Six governed outputs, every deployment
Clean spend cube
Classified, normalized, deduplicated spend, ready for BI and savings analysis.
Governed supplier master
One clean hierarchy and identity across every system.
Enriched transaction data
Every line tagged with risk, price index, ESG, and taxonomy path. Export anywhere.
Optimized taxonomy
Owned by your team, maintained on your cadence.
BI-ready exports
CSV, Parquet, BigQuery, Snowflake, or a Looker Studio connector.
Input for Opportunity Agents
The governed foundation Opportunity Agents reads to find savings.
"Mithra classified spend across 14 ERP instances at an accuracy three years of manual effort never reached."
Data foundation questions, answered.
See Mithra clean your spend data.
Share a sample extract and watch Mithra classify, normalize, and enrich it with confidence scores and a review queue you control.