Can I search by product and certification, not just company name?

Yes. The products graph carries 1.3B normalized products and services classified to UNSPSC plus 22+ L3 attributes — materials, certifications, eco-labels, origin, and technical specs. Roughly 9M of those products carry sustainability certifications (ISO 14001, B Corp, Fair Trade, FSC, OEKO-TEX, GRS). "EU manufacturers of ISO-14001-certified textiles with Fair Trade product lines" is one query, not a manual due-diligence project.

How fast is discovery, and can a category manager run it without engineering?

Search API V4 returns results against the full 642M universe at sub-200ms p99 latency with a 99.9% uptime SLA. Category managers build the match_expression boolean tree directly in the Playground — and, or, not joins across company_products, company_keywords, industries, and firmographics — with no engineering involvement. Every match returns the supplier product-page snippet that triggered it, so a sourcing memo can cite the evidence directly.

Can I find suppliers operationally similar to one I already trust?

Yes. Pass an anchor supplier — its product set, operational keywords, and industry classifications — as the query. Two-layer ranking (TF-IDF relevance plus a company-quality layer scoring size, digital presence, and completeness) surfaces operationally adjacent alternates ranked across the full universe, not just lexical matches drawn from the same network that produced the anchor.

Does Veridion know where suppliers actually operate, not just where they are registered?

Yes. Location data carries a 3-level facility-type taxonomy at building-level detail — manufacturing vs. distribution vs. R&D vs. office — linked to org_id and group_id. "All manufacturing sites in Mexico operated by suppliers that make X, including any subsidiary in their corporate group" lands in one query, with per-anchor direct-vs-expanded footprint control. Registered-address-only vendors cannot answer that.

How do results land in Coupa, Ariba, or my existing supplier-master?

Two surfaces. Category managers query Search API V4 live for discovery. For bulk work, Batch delivery ships a continuously refreshed slice of your supplier book as a flat-file or warehouse share, with net-new discoveries flagged, ready to bulk-load into Coupa, Ariba, Jaggaer, or your master-data platform. Match & Enrich V6 resolves the shortlist back to your existing supplier IDs without forcing a re-platform.

Where does the data come from, and how fresh is it?

Legal registries fused with the live digital footprint. The graph refreshes continuously; volatile attributes such as new certifications, new plants, dropped product lines, and ownership changes refresh daily. A new certification or a closed plant shows up in the next query, not in an annual data refresh. Veridion frames this as live operational coverage, not real-time.

What happens after I source a supplier?

The same data layer carries the supplier through the lifecycle. After discovery, vendor management keeps the master clean with continuous enrichment and change detection; third-party risk monitoring catches sanctions, KYB, ESG, and financial-distress signals that re-open the sourcing loop. One supplier graph underneath discovery, management, and monitoring — no second integration.

Solutions / Supplier Sourcing

Source on the universe, not your invite list.

Q: How is this different from the supplier-master I already have?

A supplier-master is built from past spend, RFx invitee lists, and trade-show contacts — a record of who your team has worked with, not a map of who exists. Veridion is the population: 135M operating companies, refreshed continuously, queryable by what they make, where they operate, and how they certify. You run discovery against the universe, then Match the results back to your master to flag what is net-new.

135M operating companies. 1.3B products and services. 166M locations. Search the supplier graph by what they make, where they operate, and how they certify, in one query.

Try the Search APIs View sample

Trusted by global intelligence, risk, and procurement teams

The opportunity cost

Your supplier-master is a sample, not a population.

Every supplier-master in production today was built from past spend records, RFx invitee lists, and trade-show contacts. None of those were ever a population. They are a record of who the team has worked with, not a map of who exists.

The cost compounds twice on every sourcing event: hours re-finding suppliers the team already knows, and qualified suppliers outside the master that never get a chance to bid.

135MCompaniesOperating, with digital footprint

1.3BProductsNormalized, UNSPSC + 22 attributes

166MLocations3-level facility-type taxonomy

Discovery delta

From the entire universe to your shortlist.

Start with millions of suppliers. Add filters: product line, geography, certifications. Each narrows the set until your qualified shortlist emerges — one query across all product types.

Find every CEE trucking operator running heavy-capacity vehicles into Germany.

Step 1 of 5

Universe
Geography filter
Product graph
Operational keywords
L3 attribute

-- All operating companies

135M operating companies in the Veridion graph

135Moperating companies in the Veridion graph

Filter expressions are real Search API V4 syntax. The CEE logistics scenario is from an anonymized engagement (January 2025); current coverage exceeds these counts. Other counts are realistic, not from a specific engagement.

The supplier universe

Search the products you actually source.

A category manager is not asking which companies exist. They are asking which companies make exactly this, operate it somewhere usable, and certify it the right way. Products first, locations second, companies downstream.

Products1.3B normalized products and services

Search the products you actually source. UNSPSC + Veridion taxonomy + 22+ L3 attributes (materials, certifications, eco-labels, origin).

Certified9M eco-labelled and sustainability-certified products

ISO 14001, B Corp, Fair Trade, FSC, OEKO-TEX, GRS. Diverse and certified sourcing become one-query filters, not manual due-diligence projects.

Locations166M sites with 3-level facility-type taxonomy

Manufacturing vs. distribution vs. R&D, at building-level detail. Linked to org_id and group_id, so corporate-group footprint resolves in one query.

Companies135M operating companies, refreshed continuously

Whole-economy coverage, not the disclosure-skewed slice. SMB and long-tail operators the supplier-master misses by structural design.

Taxonomies7 industry taxonomies plus custom

NAICS, SIC, ISIC, NACE, NCCI, IBC, UNSPSC, Veridion business tags, plus custom taxonomy support. Your category schema does not need to migrate.

RefreshContinuous graph refresh, daily volatile attributes

New certifications, new plants, dropped product lines, ownership changes. Reflected in the next query, not next year data refresh.

Coverage Methodology Attribute structure

In production

Five sourcing jobs, one data layer.

Strategic-sourcing market scan

WorkflowDefine category > Run query > Match to master > Build shortlist

Where traditional data vendors break

A supplier-master built from past spend records and RFx invitee history is a sample, not a population. Every category review re-asks the same question: how do we know we are sourcing the right suppliers if we never look outside the master?

What Veridion does

Search API V4 against the 135M operating universe with a boolean tree on company_products + company_keywords + multi-taxonomy. Each result carries the product-page snippet that triggered it. Match the result set against the existing master to flag net-new vs. known.

The delta

Before50Suppliers in the master

With Veridion340Suppliers in the qualifying universe

Try asking your category this

For my next category event, what is the full population of qualifiable suppliers, and which are net-new to my supplier-master?

Proof

CEE logistics scan, anonymized engagement (January 2025)

Blind spots

Questions only Veridion can answer.

Each one goes dark on a supplier-master built from past spend records. Click a tile to cycle through more.

CPO and program owner

For my category, what is the full population of qualifiable suppliers, and how many are net-new to my supplier-master?

NeedsSearch API V4 + Match against existing master

For the 200 suppliers I sourced last year, where am I geographically over-concentrated against my actual demand?

NeedsLocations + facility-type taxonomy at corporate-group resolution

When a supplier triggers a risk event, what does the qualified replacement shortlist look like, and how fast does it land?

NeedsTPRM trigger + Search API V4 lookalike + Match

For my supplier-diversity program, what is the population of certified suppliers per regime per geography?

NeedsProducts L3 (eco-labels and certifications) + Locations

Category manager

For my anchor supplier, find me the 50 most operationally similar suppliers I am not sourcing from, ranked by category fit and scale.

NeedsSearch API V4 + two-layer ranking + helper endpoints

Can my category manager build a shortlist in the Playground today, without engineering involvement, using their own boolean filter tree?

NeedsPlayground + match_expression boolean tree

Does every result come with a snippet from the supplier product page that shows why it matched, so my sourcing memo can cite it directly?

Needssearch_details.snippets per match

My category schema runs on a custom taxonomy. Can Veridion classify against it at query time, or do I need to re-tag suppliers?

NeedsMulti-taxonomy classification including custom taxonomies

Procurement Ops and Sustainability

Show me every supplier whose product catalogue contains an item certified to ISO 14001, B Corp, Fair Trade, FSC, or OEKO-TEX, and whose primary manufacturing footprint is in this region.

NeedsProducts L3 certification slice (~9M certified products)

For bulk supplier-master enrichment, what is the batch flat-file delivery shape and refresh cadence?

NeedsBatch delivery + continuous graph refresh

Can I run Match against my existing supplier-master to flag which results are net-new vs. existing relationships, without rebuilding my supplier ID system?

NeedsMatch & Enrich V6 + canonicalization

After I source, when these suppliers move into my vendor-management workflow, what does the lifecycle handoff look like?

NeedsVendor management + TPRM cross-link

Proof

The discovery delta and the time delta.

Discovery delta

One regional pass, the qualifying universe.

Anonymized global logistics-procurement engagement, January 2025

14,586Transportation operators surfacedAcross 11 CEE countries

2,778Trucking specialistsFilterable from the same query

64Heavy-capacity (>35t) operatorsL3 product-attribute slice

279Germany-bound operatorsLane-destination filter

As of January 2025; current coverage exceeds these counts.

Time delta

Sourcing cycles compress from weeks to days.

Anonymized procurement engagements

3.2xFaster supplier identificationSourcing cycles compressed from weeks to days

0.14 hrPer sourcing eventDown from 10-30 hours of manual research

2xQualified suppliers surfacedVs. the existing supplier-master

642MCompanies

1.3BProducts

166MLocations

9MCertified

7Taxonomies

ContinuousRefresh

<200msp99 latency

The lifecycle

After you source, the same data layer carries the supplier through.

Discovery is step 1. Vendor management keeps the master clean. Third-party risk catches the failures that re-open the loop. One data layer underneath all three.

Step 1 / SourceYou are here

Pre-contract discovery and qualification.

Compile the qualifying supplier set for any category, geography, or operational profile in a single query against the 135M operating universe.

+Search API V4 boolean filter tree
+Products L3 attributes and certifications
+Locations with 3-level facility-type taxonomy
+Match against existing supplier-master

Step 2 / Manage

Post-contract data hygiene.

Contracted suppliers move into the master. Vendor management keeps ownership, locations, products, and financial signals current, weekly.

+Bulk supplier-master enrichment
+Change detection on firmographics and operations
+Group-level corporate hierarchy
+Batch flat-file delivery

Read the page

Step 3 / Monitor

Continuous risk monitoring.

Sanctions cascade, perpetual KYB, ESG breaches, financial distress, ownership changes. The trigger that re-opens the sourcing loop.

+Perpetual KYB across 190+ jurisdictions
+Sanctions cascade through the corporate group
+Operational disruption signals
+Triggers re-sourcing on the same data layer

Read the page

Integration

Four surfaces, one data contract.

Discover, resolve, enrich. Same supplier graph, every surface. Category managers query the API live; bulk enrichment lands as a continuously refreshed flat-file slice.

<200ms p99

Live discovery

Run boolean queries against the 642M supplier graph in the Playground or via API. Sub-200ms p99 latency, 99.9% uptime SLA. Category managers build the filter tree without engineering involvement.

Search API V4 · Docs

~1.5s

Master resolution and enrichment

Resolve the shortlist back into your existing supplier-master to flag net-new discoveries. Bulk-enrich the master with firmographic, product, and location depth.

Match & Enrich V6 · Docs

Live

Geographic resilience

Multi-site and multi-country footprint at facility-type resolution. Per-anchor direct-vs-expanded control surfaces "all manufacturing operated by this supplier or any subsidiary in their group" in one query.

Location API V1 · Docs

Continuous

Bulk supplier-master enrichment

Continuously refreshed slice of your supplier book delivered as flat-file or warehouse share. Net-new discoveries flagged. Ready for bulk-loading into Coupa, Ariba, Jaggaer, or your existing master-data platform.

Batch delivery · Docs

FAQ