What does Veridion do for private equity?

Veridion gives PE firms a continuously refreshed graph of 135M operating companies across the whole economy, not just the funded slice. Associates run thesis screens against the population. Partners run diligence with full ownership trees, customer + supplier maps, and per-attribute provenance. Operating partners run portfolio monitoring with delta feeds on every portco. The same canonical graph runs through deal sourcing, diligence, portfolio monitoring, and exit comparables.

How is Veridion different from a deal database?

Deal databases are trigger-event products. They admit a company once it has raised institutional capital, filed a registration, or appeared in a tracked transaction. Before that trigger, the company is invisible. Veridion runs on a different trigger: digital footprint as proof of operating activity. The graph is one to two orders of magnitude wider, with the long tail of family-owned, founder-led, generational, and bootstrapped operators that incumbent deal databases structurally do not carry. Veridion sits as the data layer underneath thesis screening and diligence, complementary to the deal-event tools already in use.

How do I run a thesis screen?

Search V4 exposes a boolean filter tree across products, keywords, and industries plus 13 firmographic, size, geography, and ownership filters. The Playground is the no-engineering entry. An associate iterates the thesis live, sees the result count update in real time, and exports the shortlist. Every match returns the literal text from the company that triggered it, so the diligence brief cites the snippet directly.

How fast is the data refreshed?

The core graph refreshes continuously across the full 135M operating universe. Volatile attributes refresh daily. Technographics run on a rolling 90-day cycle. End-to-end pipeline latency is under 24 hours from source crawl to resolved attribute. Veridion does not claim real-time data because the number that matters is how fresh the last crawl is, not how many milliseconds old a query is.

How does diligence on a target work?

Match V6 resolves the target to canonical IDs against any input identifier (name, website, registry ID, LEI). Corporate Groups V1 maps the full ownership tree across 4 layers. Search V4 surfaces operationally adjacent competitors, not NAICS-equality matches. Location V1 returns multi-site footprint at facility-type resolution. Per-attribute provenance backs every claim in the diligence brief, with source URL and last_verified timestamp on every field.

Can Match accept our internal portco IDs?

Yes. Match accepts any combination of internal portco system identifiers, names, websites, registry IDs, and LEIs as input. Internal IDs ride along as bridge keys in every response. The firm portfolio-monitoring system stays in place as the system of record. Veridion sits underneath as the canonical data layer, not in place of the firm system.

What is in the M&A package?

The M&A / Corporate Transactions package indexes comprehensive M&A deal records with full transaction details. PE firms use it for exit-comparable analysis, deal-history mapping on diligence targets, and M&A-event delta detection on the wider competitive landscape. Combined with the Pillar 1 graph, the comparable universe extends past the deal-event-tracked slice into operationally similar companies that have not transacted recently.

How does portfolio monitoring work?

Match V6 resolves every portco to canonical IDs. Continuous graph refresh, daily volatile attributes, and rolling 90-day technographics surface attribute-level deltas. Financial Risk Early Warning Signals scan near-real-time news and convert weak signals into a numeric distress view. Per-attribute last_verified timestamps give the firm a delta feed of material changes between refresh cycles, prioritized by signal strength. The portco surprise window collapses from quarters to weeks.

Can I license individual APIs without committing to the full stack?

Yes. Search V4, Match & Enrich V6, Corporate Groups V1, Location V1, the M&A package, and the Financial Risk Early Warning Signals package can be licensed individually or in any combination. Batch delivery (SFTP, S3, Snowflake share) is also available for portfolio-master enrichment and bulk thesis-screen exports.

Are the deal-database platforms my firm uses themselves built on Veridion?

Some deal-sourcing platforms, thesis-screening tools, and PE-vertical SaaS that need whole-economy private-company coverage embed Veridion as their canonical-data substrate. Whether a firm builds directly on Veridion or uses a platform that already has, the data layer underneath is the same. If a firm migrates platforms, the canonical-data layer stays consistent.

Solutions / Private Equity

PE-grade data on the 642million companies that haven't filed yet.

Whole-economy thesis screening, operational-signal portfolio monitoring, and diligence-grade ownership and customer mapping. One canonical company graph, refreshed continuously. The same data layer through deal sourcing, diligence, portfolio monitoring, and exit comparables.

Talk to a specialist View sample

Trusted by global intelligence, risk, and procurement teams

The wedge

Deal flow is a data-coverage problem.

Trigger-event deal databases only list a company after it has raised, filed, or transacted. By then every other firm is looking at the same name. The advantage is in the companies those tools don't carry yet.

Trigger-event deal databases

What they index

Companies that have raised institutional capital
Companies that have filed a tracked transaction
Companies that have appeared in deal-event corpora
The post-trigger slice of the universe

Veridion's operating-activity graph

What we index

Every operating company with a digital footprint
Family-owned, founder-led, and bootstrapped operators
Generational manufacturers compounding for two decades
The whole-economy population, not the funded slice

Sample thesis screenLive in the Playground

Thesis input

US-headquartered B2B vertical-SaaS, $10-50M revenue, 50+ employees, healthcare-vertical specialization, hiring 20%+ over the last two quarters, no PE ownership in the last 5 years.

847matches

312not in your deal database

Aria Care NetworksOutpatient specialty-clinic scheduling SaaS
Not in your deal database
"...purpose-built scheduling and revenue-cycle workflows for outpatient specialty clinics, deployed at 140+ clinic locations across the US..."
Meridian Vertical HealthVertical EHR for ambulatory surgery centers
Not in your deal database
"...the only ambulatory-surgery EHR purpose-built for high-volume orthopedic and cardiology suites, in production at 92 ASC sites..."
Cedarpoint Clinical SoftwareBehavioral-health practice management
"...family-owned since 1998. Practice-management and billing platform serving 1,200+ behavioral-health practices, founder-led, no outside capital..."

Every match returns proof from the company that triggered it. The diligence brief cites the snippet directly, not a black-box relevance score.

Market intelligence

Model the market as it moves.

A thesis screen is a snapshot. The market keeps moving. Veridion surfaces the rising operators, the new entrants, and the dropouts, so the firm sees where a sector is heading before a pitch deck spells it out.

Sector shapeLast 7 days

Map the market as it moves.

208 operators in your healthcare-vertical SaaS thesis last week. Veridion sorts them by signal trend so the rising and the declining are visible without a full re-screen.

23% Rising (47)
64% Stable (134)
9% Declining (19)
4% Dormant (8)

New entrantsThis quarter

Catch the players before competitors do.

Newly emerged operators with a digital footprint, classified into your thesis shape. Visibility starts the week the website goes live, not at the first funding round.

Aria Care Networks2024 Q3Healthcare scheduling SaaS, multi-clinic outpatient
Kintsu Specialty Rx2024 Q4Specialty pharmacy benefits, vertical PBM
Veristem Health2025 Q1Vertical AI for clinical-note workflows
+47 new operators in the sector this quarter.

DistressThis week

See the dropouts before the surprise.

Operational signals fading on a portco or a target before they hit a quarterly deck. Hiring stalls, tech-stack shifts, dormancy, certification lapses, ownership changes.

Stalled hiring3 quarters of negative headcount on a former category leader.
Tech-stack abandonmentCore CRM dropped, no replacement detected. Operational friction.
Web dormancyNo website updates in 90 days. Legacy entity going quiet.
5 distress signals surfaced this week.

Coverage

One canonical graph runs every workflow on this page.

Coverage Methodology

135MOperating companies

507MLegal entities

Continuous + dailyRefresh cadence

Blind spots

Questions only Veridion can answer.

Each one goes dark on a deal database alone. Pick your role and click through.

Associate / VP

For my thesis, how many companies match it across the whole economy, not just the funded slice?

NeedsWhole-economy graph + boolean filter tree

Which family-owned, founder-led, or bootstrapped operators in my target sector and geography are operating but have not raised money in the last 6 months?

NeedsPre-disclosure-frontier coverage

Can I turn a detailed thesis into one query instead of a stitched-together spreadsheet?

NeedsSearch V4 match_expression + multi-taxonomy filters

When a match comes back, can I see the snippet from the company that triggered it for the diligence memo?

Needssearch_details.snippets per match

Partner / MD

For a diligence target, can I get the full ownership tree parent, majority groups, divisions, affiliates in a single call?

NeedsCorporate Groups V1 + 4-layer hierarchy

Across my portfolio, can I subscribe to a delta feed of material attribute changes between refreshes before they become surprises?

NeedsMatch V6 + change-event detection

For a target competitive set, can I get operationally adjacent companies, not NAICS-equality matches?

NeedsBoolean tree on products, keywords, descriptors

Per attribute, does every claim in my IC memo carry a source URL and a last_verified timestamp I can cite to committee?

NeedsPer-field provenance on every returned attribute

Operating Partner

For add-on screening, can I anchor on what the portco actually makes, not just its industry code?

NeedsSearch V4 lookalike anchor + Corporate Groups

For exit comparables, can I extend the universe past the deal-event slice with operationally similar companies that have not transacted recently?

NeedsM&A package + Pillar 1 graph

For buyer-side mapping, can I identify acquirers by operational capacity to acquire, not by recent M&A activity?

NeedsSearch V4 + Corporate Groups ownership trees

Are the deal-database platforms my firm subscribes to themselves built on Veridion underneath?

NeedsSame canonical graph through any platform

In production

Source. Diligence. Monitor. Exit.

Thesis screening

WorkflowThesis → Live result count → Snippet evidence → Shortlist export

Where traditional data vendors break

Incumbent deal databases run on stale snapshots. You can keep refining the screen, but you are querying data that was current months ago, not who is actually operating and growing today.

What Veridion does

The associate iterates the thesis live, sees the result count update in real time, and exports the shortlist with snippet evidence on every match. Custom thesis shapes that fall outside a fixed UI become one query, not a research project. No engineering ticket, no spreadsheet stitch.

The delta

BeforeStitchedCustom thesis path

With VeridionOne queryCustom thesis path

Try asking your firm this

For my thesis this week, how many companies match it that are not in our incumbent deal database?

Proof

Live result count under 200ms, exports the same morning the partner asks for it

How fast it goes

The diligence and monitoring delta.

The same canonical graph that ran the thesis runs the diligence brief and the portfolio delta feed. Scraping, stitching, and the next-quarter surprise window collapse.

Minutes, not weeksA target ownership tree, answered in one query.

Ultimate parent, majority groups, divisions, affiliates — resolved across the full graph for any target or portco. The team stops scraping registries by hand and the cap-table picture lands the same morning the LOI does.

Corporate group structure

This week, not next quarterOperational distress on a portco, before the board pack.

Slowing hiring, technographic abandonment, certification lapses, ownership shifts, near-real-time news distress. Veridion converts weak signals into a numeric distress view and surfaces them while there is still time to act.

Methodology

Whole population, not the funded sliceAn exit-comparable universe past the deal-event tracked corpus.

M&A deal records combined with operationally similar companies that have not transacted recently. Strategic acquirers identified by operational capacity to bid — right size, right geography, right operational footprint — not just by recent M&A activity.

Methodology

Building-level, not best-guessMulti-site footprint resolved to facility type.

New plant opened. Warehouse closed. R&D center expanded. For diligence on a multi-site target or continuous monitoring on a global portco, every site is mapped to manufacturing, distribution, R&D, office, retail, or warehouse at building-level detail.

Location surface

Snippet evidence, not a black boxEvery claim cites the trail.

Per-field source URL, per-field last-verified timestamp, per-attribute confidence on every returned attribute. The IC memo cites the snippet from the company website that triggered the match, not the relevance score from the model.

Methodology

One canonical layer, not five vendor stitchesThe firm system of record stays the system of record.

Internal portco IDs ride along as bridge keys against any input identifier — name, website, registry ID, LEI, internal PK. Veridion sits underneath the firm portfolio-monitoring system, not in place of it. Per-attribute confidence on every returned field.

Match resolution

Build on

Powering deal-sourcing platforms.

Plug directly into Veridion's API, or sit on a platform that already does. The canonical operating-activity graph powers deal-sourcing platforms your team already uses—no switching required.

Thesis screening

Custom screens that fit any thesis shape.

A boolean filter tree across products, keywords, and industries plus 13 firmographic filters. Theses that fall outside a fixed UI become one query against the live graph.

Search V4

Ownership

Ownership and corporate structure in one call.

Ultimate parent, majority groups, divisions, affiliated groups. Resolved across the full graph for any target or portco, not just listed issuers.

Corporate Groups V1

Diligence resolution

Match the firm portfolio to the canonical graph.

Your internal portco IDs stay the system of record. Veridion resolves each one to the canonical graph and rides along as a bridge key.

Match & Enrich V6

Portfolio delta

Continuous attribute deltas on every portco.

Hiring shifts, certification gains, ownership changes, technographic moves, distress signals. The portco surprise window collapses from quarters to weeks.

Batch delivery

Exit comparables

Find strategic exit opportunities you did not know were on the table.

Buyers with the operational capacity to acquire, not just the ones that recently did a deal. The comparable set reaches past the companies already trading hands.

M&A package

Platform

A deal-sourcing platform without the data debt.

Deal-sourcing platforms, thesis-screening tools, and PE-vertical SaaS that need whole-economy private-company coverage embed Veridion as their canonical-data substrate. The same APIs serve the direct firm and the platform on top.

Developer hub

Custom

Or scope a different capability.

If the firm or platform needs something other than these six, the data team will scope the cut with you.

Talk to a data expert

Integration

Six surfaces, one contract.

<200ms p99

Thesis screening

Boolean filter tree against 135M operating companies. Iterate the thesis live in the Playground, see the result count update in real time, export the shortlist.

Search V4 · Docs

~1.5s

Diligence resolution

Resolve any target or portco identifier to canonical IDs. Per-attribute confidence, per-field source URL, per-field last_verified on every returned attribute.

Match & Enrich V6 · Docs

Live (PM1)

Ownership and add-on sourcing

Traverse the 4-layer corporate-group hierarchy across the full graph for cap-table mapping on diligence targets and acquisition-candidate sourcing inside existing groups.

Corporate Groups V1 · Docs

Continuous

Portfolio monitoring

Continuously refreshed slice of the portfolio with change flags on location, ownership, products, certifications, and operational signals. Plug the delta feed into the firm portfolio-monitoring system.

Batch delivery · Docs

Live

Multi-site footprint

Per-anchor direct-vs-expanded footprint at facility-type resolution for diligence on multi-site targets and operational change detection on global portcos.

Location V1 · Docs

On request

Sandbox + POC

Head-to-head thesis screen against the firm incumbent toolkit on a defined sub-vertical and geography. The result count, sample names, and snippet evidence land in minutes.

Talk to the data team · Docs

Governance

Auditable to committee.

Per-attribute provenance on every returned field. Source URL, last_verified timestamp, and confidence score so the IC memo cites the trail, not the algorithm.
Refresh cadence matches operational reality. Continuous graph + daily volatile attributes + rolling 90-day technographics. End-to-end pipeline latency under 24 hours from source crawl to resolved attribute.
Sourcing is robots.txt compliant. No personal data. Methodology is auditable to the firm investment-committee bar.

FAQ