Categorise any data against any hierarchical taxonomy in hours or days - not weeks or months. Automate the manual pinch-points in your foundational data processes and unlock accurate, timely insight across Procurement, Finance, Ops and ESG.
“It's like a cave man seeing fire for the first time.”
Most corporate spend flows through external suppliers. Every decision - from sourcing to payment - has the power to influence profitability and purpose.
Global supply chains, tighter margins, inflation, rising ESG expectations and fragmented data make it harder than ever to see the full picture. Procurement teams need clearer visibility and faster, more informed decisions.
Our mission: turn disconnected data into strategic advantage - automatically cleansing and categorising spend, surfacing the insights that matter, and unlocking value previously hidden.
"The AnyData platform has been revolutionary for Marshalls, transforming what was once a tick-box exercise into a fully customisable, efficient, and value-driven process for both internal and external stakeholders. I'd confidently recommend this system to any organisation looking to modernise and strengthen its supplier management approach."
Procurement workloads have grown 8%, while staff and operating budgets have grown just 1.5%. AutoClass AI closes that gap.
AI absorbs the overflow - without growing headcount.
Increase savings, supplier consolidation, inflation analysis.
Faster, enhanced reporting - including for budgeting cycles.
Foundational, trustworthy data feeding every downstream tool.
Designed for businesses running their own data and for consultants serving them. From first upload to exported results - without a spreadsheet in sight.
Push or pull from every major ERP - SAP, Ariba, Oracle, Dynamics, Navision, JD Edwards, 3E, Sage. Browser wizard, APIs, SFTP, Dropbox, or the AnyData Connector Library.
Run UNSPSC, an industry standard, your client's proven taxonomy, or build a new one from your data attributes - all from one Taxonomy Manager.
Our AI & Knowledge Engine classifies across multiple data dimensions - even when all you have is a supplier name. Experts can review, tune confidence scoring and lock in rules.
Shareable workspaces for internal teams and clients. Export to Excel, CSV, JSON or feed directly into the next system in your stack.
Once your data is classified, AnyData can take it the rest of the way - from cleansing and supplier parenting through to live dashboards that visualise results and track the metrics that matter.
Company / Supplier name grouping, parenting and information enrichment using AnyData AI or third-party data sources.
Lift poor-quality datasets into trustworthy, analytics-ready records for spend cubes and BI.
Best-in-class spend reports and opportunity insights - out of the box, ready to share.
Export your AI-built categorisation rules and taxonomies back into your ERP. You own the work.
Instant visualisation of categorisation results and KPIs.
Categorise across any language and any region in one run.
Cloud, on-prem or hybrid. Per-client databases. Audit-ready.
Classified data flows straight into purpose-built dashboards - spend cube analytics, category insights, supplier consolidation and executive KPIs. Collaborate internally and with clients, no extra BI build required.
Drill from total spend down to supplier, category and transaction in a single view.
Spot consolidation opportunities, tail spend and category leakage instantly.
Track AutoClass AI confidence, exceptions and refresh cycles over time.
Share board-ready savings, compliance and ESG metrics with one click.
Whether you're managing spend, onboarding suppliers, or driving ESG transparency, our ready-to-use applications help you act faster with confidence.
Integrate ESG signals, ratings and risk metrics into supplier views.
A suite of AI-driven tools designed to clean, classify and transform chaotic procurement and finance datasets into actionable business intelligence.
Bring a sample dataset and a taxonomy - we'll show you AutoClass AI running against your real data in a 30-minute working session.
