Clean Data for
Procurement Transformation
Leverage AI to cleanse, enrich, and unify your spend data—powering faster decisions and smarter procurement strategies.
How we simplify the procurement
Everything you need to streamline procurement and category management.
Improve Categorization
Leverage Mithra’s advanced NLP and LLM models to auto-categorize spend data accurately, while keeping procurement experts in control for trusted analytics.
Supplier Normalization
Improve supplier data quality by using Mithra’s NLP-driven engine to standardize and merge supplier names, removing duplicates and inconsistencies.
Integrations
Connect effortlessly with tools like SAP, Ariba, Looker Studio, and Gemini to unify your procurement ecosystem.
IT Free
2 Week
Achieve full spend visibility in under two weeks; no IT required.
Addressable Spend
1.5X
Expand your addressable spend 1.5X, powered by AI.
Opportunity Dashboard
Discover cost-saving opportunities with Mithra’s AI-powered dashboard that identifies patterns across spend data. Filter insights by supplier, category levels, and more.
Mithra's success stories
See what our clients say
“We saw the first results in already three weeks!”
“Comparing and finding spend synergies is very easy with Mithra”
“Mithra can massively reduce the cost to classify and maintain spend data”
"Mithra empowered our category managers and our procurement suite to deliver business value like never before."
Built for Enterprise. Tuned for You.
Customer-Specific AI
Human-in-the-Loop
Enterprise-grade security
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Frequently asked questions
Find quick answers to common questions about Mithra's features, usage, and integrations.
Can Mithra integrate with our existing ERPs or procurement systems?
Absolutely. Mithra AI is built for seamless integration with any ERP or P2P system, whether through direct API connectors (e.g., SAP, Ariba), cloud databases (Azure, AWS, GCP, Snowflake), or CSV/flat-file extracts. Most implementations do not require heavy IT involvement. Environments are typically ready within two weeks after data access is confirmed.
How long does it typically take to fully implement the solution?
Mithra’s implementations are fast and agile:
Initial value in <2 week: You can upload spend data immediately and begin uncovering insights.
Full deployment in 3-4 weeks: Within this period, you’ll have taxonomy built/refined, AI‑powered spend categorization, normalized supplier data, and opportunity analytics activated.
Some clients see their first results—cleaned dashboards and categorized data—within 3 weeks .
Does Mithra support multiple languages for global use?
Yes! Mithra’s AI supports all languages. This multi-language support covers both invoice/PO text and supplier metadata, enabling global organizations to harmonize and categorize spend data across geographies.
What is the pricing model and typical cost of Mithra?
Mithra offers a modular, flat-fee SaaS subscription tailored to your needs. Pricing is based on:
1. Number of data sources (ERPs, CSV feeds)
2. Transaction volumesSupplier counts
3. Selected modules (e.g., Categorization, Taxonomy Builder, Supplier Normalization, Opportunity Dashboard, Initiatives Tracker)
4. Unlimited users included, with enterprise-grade security and model tuning.
We offer annual licensing with volume-based discounts for multi-year deals. A 6-month opt-out ensures you can walk away if there’s no ROI.
Is a free trial or demo available before purchase?
Yes! Mithra starts with a proof-of-value demo using your own data sample. This includes data upload, cleansing, categorization, and opportunity dashboard view. You can decide to move forward based on seeing meaningful insights, with no obligation, and you can still opt out within the first 6 months.
How does Mithra compare to other spend data management and analytics tools?
Mithra stands apart with its procurement-focused foundation and AI-first architecture:
Implementation speed: We can deploy within 2 weeks, with no IT involvement, and no setup costs.
Deep taxonomy management: We optimize and tailor your category hierarchy—your “procurement DNA”—leading to 30–50% faster classification and cleaner analytics.
Line-level categorization with “reason codes”: Our AI gets tailored to your data and external supplier signals. Low-confidence spend items are shown in concise human-in-the-loop batches, boosting accuracy to 90–95% in weeks.
Supplier normalization: Natural-language clustering consolidates duplicate supplier entities without relying on external directories.
Contract metadata & analytics: Extracts payment terms, dates, and off-contract spend to surface opportunities.
De-risked, modular engagement: Begin with a proof-of-value, scale as needed, and opt-out within 6 months if ROI goals aren’t met.