Solutions / Revenue Operations
Every account in your CRM, kept clean and current against the live Veridion graph. Weekly refresh on the core, daily on news and signals. Plus the next 12M+ accounts your CRM does not have yet, discoverable in one query. The company-data layer underneath your GTM stack.
Trusted by global intelligence, risk, and procurement teams
The data layer underneath your CRM
CRM records age between refresh cycles, causing routing misfires, stale targeting, missed expansion signals, and noisy analytics. Veridion replaces the stale snapshot with a continuously-refreshed live graph—weekly core refresh, daily volatile signals, rolling 90-day technographics—so every account record carries live provenance and CRM teams detect change programmatically.
Veridion is company-level data, not contact data.
Keep your contact-data tool for verified emails, phones, and LinkedIn-scraped contacts. Veridion is the company-level firmographic + operational data layer underneath. Keep your contact data; upgrade the company data.
In production
CRM records arrive thin. A form-fill returns a company name and a work email. Existing enrichment tools fill some fields, miss others, and decay between quarterly refresh cycles. Coverage on private mid-market, SMB, and international accounts is uneven, so every downstream workflow bottlenecks on the gaps.
Match V6 accepts whatever the CRM record carries (name, domain, address, internal ID, registry ID) and returns a full company profile in one call. 120+ firmographic attributes, classifications across 7 taxonomies, ownership, locations, technographics, and operational signals - with per-attribute confidence, source URL, and last_verified on every field. The CRM schema only takes the fields the GTM team actually uses.
For my 50,000-account CRM universe, what is the per-attribute fill-rate delta if I match every record against Veridion vs my existing tool?
120+ firmographic attributes returned per Match call, 1.5s latency
Match V6
Send any company identifier—name, website, domain, or CRM ID. Match V6 resolves it against the live Veridion graph and returns a complete profile: legal names, locations, revenue/employee ranges, ownership, technographics, and per-attribute confidence + source + last-verified timestamps—all keyed by a stable Veridion ID for CRM-to-warehouse joins.
Account records leave the CRM the way they arrived. Sometimes a name and a domain. Sometimes only a name and a work-email address.
Each record matches against the live Veridion graph. Confidence on the match drives auto-merge, review-queue, or human-research routing.
Veridion fills in 120+ company attributes. Industry codes, locations, ownership, technographics, hiring + news signals - with a confidence score and a source URL on every field.
The enriched record lands back in the CRM. Your internal account ID stays in place; Veridion sits underneath as the company-data layer, not in place of it.
Name, website, email domain, registered address, registry ID, LEI, internal CRM account ID - in any combination. Every record gets back a stable Veridion ID set so the CRM and the data warehouse can join on the same keys.
Legal + trade names, addresses, websites + social URLs, registry IDs, ownership type, employee + revenue bands, classifications across 7 taxonomies, location footprint at facility-type detail, ownership hierarchy, technographics, products + services, operational signals.
Not just match confidence - confidence on each returned attribute. The CRM enrichment workflow gets explicit signals on which fields are auto-merge-grade, which need a review queue, and which need human research.
The CRM schema only takes the fields the GTM team uses. A team scoring on firmographics + technographics does not pay for products + services or ESG. ~1.5s latency on the live API; batch flat-file for periodic backfill at scale.
Search V4
Write your ICP once as a boolean query—industry, size, geography, ownership, operational signals—and discover net-new companies invisible to your CRM. Search V4 spans 642M live companies across 7 industry schemes, returns result counts in seconds, and attaches the evidence snippet that triggered each match.
Hiring +22% over the last two quarters; HubSpot + Snowflake stack.
Series B closed Q3; expanding clinical-ops headcount in three states.
Founder-led, no outside capital, recently certified HIPAA + SOC 2.
Industry + size + geography + ownership + operational signals. The team writes the ICP once and runs it as a query against the live Veridion graph - not a stitched spreadsheet across multiple data sources.
NAICS, SIC, ISIC, NACE, NCCI, IBC, UNSPSC, plus Veridion business tags or your own custom taxonomy. Your category schema does not migrate; Veridion maps at query time.
Every result returns the literal text from the company website that triggered the match. ABM target lists carry snippet-level evidence on every name, so the campaign team can cite the trigger directly.
Sub-<200ms p99 query latency, 99.9% uptime. Tighten or loosen criteria and watch the result count update before you commit to the export.
Continuous refresh
The Veridion graph refreshes on three cadences: weekly core (firmographics, ownership, locations), daily volatile (news, hiring, signals), and rolling 90-day technographics. Every field carries last_verified, so lead routing, account scoring, and ABM workflows detect change and trigger automatically instead of waiting for the next quarterly refresh cycle.
Firmographics, classifications, ownership type, locations, products + services - the full company profile underneath every account.
News, operational signals, executive moves, hiring velocity, certain risk flags. Anything an event-driven workflow needs in roughly 5 hours.
Tech-stack adoption + churn signals across the proprietary web crawl.
End-to-end from source crawl to resolved attribute. A target announcement on Monday lands in the CRM by Tuesday.
Change detection across consecutive refreshes flows into the GTM operational layer. Lead routing, account scoring, ABM, and customer-success expansion plays consume the delta as buying-signal features.
The triggering-event surface is the closest Veridion offers to "intent data," but it is operational not search-keyword-based. Hiring velocity changes, technographic adoption, product launches, certification gains, executive moves, operational news. They function as buying-trigger signals where appropriate. They are not intent data in the search-keyword behavioral sense - that is a category Veridion does not compete in. Use them as event features inside scoring + routing + ABM, alongside the intent-data tool you already run if you run one.
Blind spots
Each one goes dark on a contact-data tool alone. Pick your role and click through.
For my CRM account universe, say 50,000 accounts, what is the enrichment-coverage delta if I match every record against Veridion vs my existing tool, per-attribute fill-rate and confidence?
For my ICP defined on industry, geography, size, and operational signals, how many of those accounts are not in my CRM today?
Net-new account discovery: which long-tail private mid-market and SMB accounts in my target sectors does Veridion see that my existing CRM and contact-data tool does not?
Show me my existing best customers lookalike profile across the whole-economy graph, ranked by fit + signal.
For thin records (name + work email only), what does a single Match call return - latency and coverage rate on the common B2B onboarding profile?
Per-attribute confidence: does my scoring model get explicit signals about which fields are auto-merge-grade vs review-queue vs low-confidence?
Cadence: what is the refresh cadence on each attribute class - firmographics, locations, ownership, technographics, news and events?
When an account undergoes M&A, an executive hire, or a technographic shift, when does my CRM see it - next week or next quarterly cycle?
Modular pricing: can I license Match alone, or Match + specific attribute classes, without paying for technographics or products if my scoring model does not use them?
My CRM schema has these fields. Does Veridion company profile map to my schema cleanly, or do I need to reshape?
CRM-native: does Veridion ship a Salesforce AppExchange or HubSpot Marketplace listing today, or do I integrate via reverse ETL or direct API?
For the GTM orchestration tools my team uses (Clay, 6sense, Demandbase), is Veridion already an embedded data layer underneath?
Veridion vs ZoomInfo / Apollo / Cognism / Lusha / Clearbit: am I replacing my contact-data tool, or layering this on top?
You are layering this on top. Veridion is company-level data, not contact data. Keep your contact-data tool. Upgrade the company-data layer underneath.
Proof
One RevOps team uncovered 12M+ net-new companies invisible to their CRM and contact-data tool. Below is their discovery; the capability strip shows what every Veridion API call delivers.
A revenue operations team uncovered net-new prospect companies invisible to their existing CRM. The whole-economy graph + Search V4 boolean tree reached the long-tail private mid-market, international SMB, and recently-funded private companies their existing CRM and contact-data tool did not carry.
Anonymized engagement. Source: new-site-draft customer-impact card.Veridion is company-level data, not contact data.
Keep your contact-data tool. Upgrade the company-data layer underneath.
Integrations
API, batch, reverse ETL, iPaaS, GTM orchestration, native CRM connectors where available, MCP for agentic workflows. Every common pattern is supported. The data team integrates Veridion the way it integrates any other API-driven enrichment service.
Match V6 on record creation for live enrichment. Search V4 for ICP iteration and lookalike discovery. Location V1 for multi-site footprint. The data team calls Veridion the way it calls any other API-driven enrichment service.
Periodic full-master refresh at scale, from 50K to multi-million account masters. SFTP, S3, or Snowflake share. The pattern that backfills the existing universe in one pass before the live API takes over on every new record.
Veridion data lands in Snowflake, Databricks, BigQuery, or Redshift. Hightouch, Census, or Polytomic syncs the enrichment from the warehouse into the CRM. The recommended pattern for data-warehouse-first GTM architectures.
Salesforce and HubSpot. Today: consume Veridion via reverse ETL or direct API into the CRM account model. Native AppExchange and Marketplace listings sit on the roadmap; talk to the data team for current connector status.
Marketo, Pardot, HubSpot Marketing, ActiveCampaign. Veridion firmographic + classification + operational-signal data lands in the marketing-automation account model via reverse ETL or direct API, ready for segmentation and program targeting.
Outreach and Salesloft. Veridion data feeds account-routing logic, sequence enrolment criteria, and territory definitions. The data layer underneath the sales-engagement orchestration, not the orchestration itself.
Demandbase, 6sense, Salesforce ABM, HubSpot ABM. Veridion firmographic depth + multi-taxonomy classification + operational-signal layer feed ABM target-account scoring and segmentation. Snippet evidence on every match accompanies the data.
Workato, Tray.io, Zapier, n8n. For buyers who orchestrate cross-system data flows through an integration platform, Veridion APIs slot in as another connector in the orchestration graph.
Clay. Veridion sits as a data source inside the Clay workflow alongside other vendors. The newer pattern in the GTM-data category for teams that want enrichment composability without a custom data stack.
Model Context Protocol surface for LLM-assisted segmentation and agentic GTM tooling. Match exposed as a stable primitive an agent can wrap. Light cross-link only - agentic framing lives on the developer hub, not the hero.
Head-to-head enrichment + ICP segmentation against the existing CRM data and the existing tool, on a 5,000 to 10,000 account subset. Per-attribute fill-rate, confidence, and coverage delta land in days, not quarters.
Powering GTM platforms
GTM data orchestration workflows, ABM platforms layering account-data overlays, marketing-automation tools enriching firmographic data - many sit on the same Veridion graph. Whether you build directly on Veridion or use a platform that already has, the data layer is the same.
The credibility play: the platforms you already trust ship on Veridion. The future-proofing play: if you migrate platforms, the company-data layer underneath stays consistent.
If you ship a GTM data platform, ABM platform, marketing-automation product, or CRM extension that embeds third-party data, Veridion is the company-data substrate to build on.
FAQ
Next step
Run a CRM enrichment + ICP segmentation evaluation against your existing tool. The GTM-data team turns it around in days, on your real book.
Solutions
Each workflow runs on the same living company intelligence. Pick the one closest to your team's problem.