Our Master Data Management platform combines AI-driven cleansing, third-party enrichment, and intelligent UNSPSC classification to give your enterprise a single, trusted view of data — at scale, in real time.
Master Data Management (MDM) is the discipline of creating a single, authoritative source of truth for your enterprise's most critical data — customers, products, suppliers, and assets. When your data is accurate, complete, and consistently classified, every downstream system — from ERP to AI models — performs better.
Our AI-powered MDM platform goes beyond traditional tools. Using machine-learning models trained on millions of records, we detect anomalies, deduplicate entities, enrich records with third-party intelligence, and auto-classify products to global UNSPSC standards — all in a continuous, auditable pipeline.
Every MDM function is powered by ML models, not just rule-based scripts.
Real-time pipelines that cleanse and validate data as it flows into your systems.
Full audit trail, role-based access, and GDPR/SOC-2 ready data lineage.
Our platform covers the full MDM spectrum — from ingestion and profiling to enrichment, classification, and governance.
Automatically scan and score incoming data sets for completeness, consistency, and accuracy before processing begins.
Fuzzy-matching and ML-based entity resolution to identify and merge duplicate customer, supplier, and product records.
Normalise addresses, phone formats, date fields, and naming conventions to a single canonical standard across all records.
Augment internal records with firmographic, geographic, and product intelligence from curated external data sources.
AI-powered multi-level product categorisation to the full UNSPSC taxonomy — without manual intervention.
End-to-end audit trail, workflow approvals, stewardship assignments, and regulatory compliance reporting.
Data cleansing is the systematic process of detecting and correcting corrupt, inaccurate, or irrelevant records. Our AI engine continuously monitors your data pipeline, applies learned correction rules, and flags edge cases for human review — resulting in provably clean data across every source system.
Data ingested from ERP, CRM or flat files — auto-profiled for quality gaps
ML model flags nulls, format errors, impossible values, and outliers
Rules engine auto-corrects high-confidence issues; queues uncertain ones
Validated records written back to source systems with full audit trail
Clean data is the floor, not the ceiling. Data enrichment adds firmographic intelligence, verified contact details, firmographics, product specifications, and market context to your internal records — transforming sparse data into rich, decision-ready profiles that power smarter sales, procurement, and operations.
Identifies sparse or missing fields that are candidates for enrichment
Queries curated data providers — D&B, Clearbit, TomTom, internal catalogs
Conflicting signals ranked by source trust score; best match selected
Enriched attributes written with source label and timestamp for audit
The United Nations Standard Products and Services Code (UNSPSC) is the worldwide classification standard for procurement and supply-chain data. Manual classification is error-prone and expensive. Our AI classifier assigns accurate 8-digit UNSPSC codes to millions of product records with over 94% first-pass accuracy — slashing categorisation cost and enabling real spend analytics.
Product description cleaned and tokenised for NLP processing
AI model predicts Segment → Family → Class → Commodity codes in cascade
Each prediction scored; low-confidence items routed to expert review queue
Human corrections feed back into the model for continuous improvement
Ingest data from ERP, CRM, flat files, or REST APIs via pre-built connectors
Auto-assess every dataset for completeness, format quality, and anomalies
AI corrects errors, deduplicates records, and standardises all formats
Third-party enrichment applied; UNSPSC codes assigned automatically
Clean master data published back to systems with ongoing quality monitoring
Poor data quality costs organisations an average of $12.9M annually (Gartner). Our MDM platform eliminates that drag.
Leaders can trust the data. No more cross-checking spreadsheets before every strategic call. Reduce report-to-decision latency by 3×.
Eliminate manual data correction, rework, and duplicate vendor payments. Customers see 40–60% reduction in data operations spend.
GDPR, SOC 2, and ISO 8000 aligned pipelines with full data lineage, consent tracking, and automated compliance reporting.
ML models are only as good as their training data. Clean, enriched, classified master data unlocks the full value of your AI investments.
Speak with our MDM specialists to see how Data Cleansing, Enrichment, and UNSPSC Classification can be deployed in your environment — on-premise, cloud, or hybrid.