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Services / Company Enrichment

A company name in. A complete profile out.

Your records exist. The attributes do not. Firmographics, ownership, classification, and six proprietary business dimensions sourced from 400+ registries and ~1.4B web pages, refreshed continuously. Every field ships with a confidence score and a source trail.

All 461 attributesContinuous refresh · hover to pause
Company
main_industry
main_sector
naics_2022
naics_label
employee_count
estimated_revenue
year_founded
main_country
main_city
main_region
company_type
legal_form
company_status
business_model
core_offering
target_market
technology_focus
certification_focus
industry_quartile
tier
esg_score
environmental_score
social_score
governance_score
risk_score
ultimate_parent
website_domain
lei
main_industry
main_sector
naics_2022
naics_label
employee_count
estimated_revenue
year_founded
main_country
main_city
main_region
company_type
legal_form
company_status
business_model
core_offering
target_market
technology_focus
certification_focus
industry_quartile
tier
esg_score
environmental_score
social_score
governance_score
risk_score
ultimate_parent
website_domain
lei
3
3M
Adhesives & Paints
Raw Materials
325520
Adhesives
60.5K
$24.9B
1902
United States
Maplewood
Minnesota
Public
Corporation (Inc)
Active
Business-to-Business
Electrical and Electronic Connecting Materials Manufacturing
Electronics
Solar Cell Technology
ISO 9001
Bottom (25%)
amber
47
38
54
50
20
3M Company
3m.com
LUZQVYP4VS22CLWDAR65
Adhesives & Paints
Raw Materials
325520
Adhesives
60.5K
$24.9B
1902
United States
Maplewood
Minnesota
Public
Corporation (Inc)
Active
Business-to-Business
Electrical and Electronic Connecting Materials Manufacturing
Electronics
Solar Cell Technology
ISO 9001
Bottom (25%)
amber
47
38
54
50
20
3M Company
3m.com
LUZQVYP4VS22CLWDAR65
B
Bosch
Auto Parts
Automotive
336390
Other Motor Vehicle Parts Manufacturing
412.4K
$105.4B
1886
Germany
Gerlingen
Baden-Württemberg
Private
Gesellschaft mit beschränkter Haftung (GmbH)
Active
Business-to-Business
IoT Technology Development
Energy and Building Technology
Cloud Computing
ISO 9001
Top (25%)
amber
73
78
68
72
24
Robert Bosch Stiftung GmbH
bosch.com
529900F0LT5OP4SV6122
Auto Parts
Automotive
336390
Other Motor Vehicle Parts Manufacturing
412.4K
$105.4B
1886
Germany
Gerlingen
Baden-Württemberg
Private
Gesellschaft mit beschränkter Haftung (GmbH)
Active
Business-to-Business
IoT Technology Development
Energy and Building Technology
Cloud Computing
ISO 9001
Top (25%)
amber
73
78
68
72
24
Robert Bosch Stiftung GmbH
bosch.com
529900F0LT5OP4SV6122
R
Reckitt
Cleaning services
Other Nondurable Products
325611
Soap and Cleaning Manufacturing
40.0K
$18.6B
1814
United Kingdom
Slough
England
Public
Public Limited Company (PLC)
Active
Wholesale
Consumer Goods Manufacturing
Food and Beverage
ISO 14001:2015
Top (25%)
amber
70
72
68
70
35
Reckitt Benckiser Group plc
reckitt.com
5493003JFSMOJG48V108
Cleaning services
Other Nondurable Products
325611
Soap and Cleaning Manufacturing
40.0K
$18.6B
1814
United Kingdom
Slough
England
Public
Public Limited Company (PLC)
Active
Wholesale
Consumer Goods Manufacturing
Food and Beverage
ISO 14001:2015
Top (25%)
amber
70
72
68
70
35
Reckitt Benckiser Group plc
reckitt.com
5493003JFSMOJG48V108
C
Cloudflare
Telecommunication Services
IT&C Services
518210
Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services
5.2K
$2.2B
2009
United States
San Francisco
California
Public
Corporation (Inc)
Active
Software-as-a-Service
DDoS Protection Services
Gaming
Smart Routing
SOC 2 Type II
Top (25%)
amber
85
92
88
86
29
Cloudflare, Inc.
cloudflare.com
5493007DY18BGNLDWU14
Telecommunication Services
IT&C Services
518210
Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services
5.2K
$2.2B
2009
United States
San Francisco
California
Public
Corporation (Inc)
Active
Software-as-a-Service
DDoS Protection Services
Gaming
Smart Routing
SOC 2 Type II
Top (25%)
amber
85
92
88
86
29
Cloudflare, Inc.
cloudflare.com
5493007DY18BGNLDWU14
A
Atlassian
Software & IT Services
IT&C Services
513210
Software Publishers
13.8K
$5.2B
2002
Australia
Sydney
New South Wales
Public
Proprietary Limited Company (Pty Ltd)
Active
Business-to-Business
Service Management Software Development
Leadership
AI-Powered Team Collaboration
SOC 2 Type II
Top (25%)
amber
77
80
78
74
32
Atlassian Corporation
atlassian.com
5493005ANNO41NYIM267
Software & IT Services
IT&C Services
513210
Software Publishers
13.8K
$5.2B
2002
Australia
Sydney
New South Wales
Public
Proprietary Limited Company (Pty Ltd)
Active
Business-to-Business
Service Management Software Development
Leadership
AI-Powered Team Collaboration
SOC 2 Type II
Top (25%)
amber
77
80
78
74
32
Atlassian Corporation
atlassian.com
5493005ANNO41NYIM267
G
Gamuda
General Contractors & Heavy Construction
Construction
237990
Civil Engineering
6.7K
$3.4B
1976
Malaysia
Petaling Jaya
Selangor
Public
Public Limited Company (Bhd)
Active
Business-to-Business
Airport and Township Development
Energy
Digital Engineering and Construction Technologies
ISO 9001:2015
Top (25%)
green
81
85
80
78
18
Gamuda Berhad
gamuda.com
254900RW4N94L9KA9137
General Contractors & Heavy Construction
Construction
237990
Civil Engineering
6.7K
$3.4B
1976
Malaysia
Petaling Jaya
Selangor
Public
Public Limited Company (Bhd)
Active
Business-to-Business
Airport and Township Development
Energy
Digital Engineering and Construction Technologies
ISO 9001:2015
Top (25%)
green
81
85
80
78
18
Gamuda Berhad
gamuda.com
254900RW4N94L9KA9137
NC
NAV CANADA
Freight Transport
Transport & Warehousing
488111
Air Traffic Control
5.0K
$1.4B
1996
Canada
Ottawa
Ontario
Private
Non-share capital corporation (Not-for-profit)
Active
Service Provider
Flight Planning Services
Aviation
Trajectory-Based Operations
ISO 9001
Top (25%)
amber
84
88
85
82
24
Nav Canada
navcanada.ca
549300TP61Y7H5IS3S18
Freight Transport
Transport & Warehousing
488111
Air Traffic Control
5.0K
$1.4B
1996
Canada
Ottawa
Ontario
Private
Non-share capital corporation (Not-for-profit)
Active
Service Provider
Flight Planning Services
Aviation
Trajectory-Based Operations
ISO 9001
Top (25%)
amber
84
88
85
82
24
Nav Canada
navcanada.ca
549300TP61Y7H5IS3S18

Data gaps

What are you actually working with?

up to 60% of businesses operate under the wrong classification. Standard enrichment doesn't fix it.

Thin records

What does a model learn from a name and a country?

Name and country tell you nothing about industry, headcount, ownership, or risk. Models inherit the gap and confuse absence with low signal.

Stale data

How many decisions landed against a company that no longer exists?

Filings update annually. Companies hire, move, pivot, and acquire weekly. The longer your snapshot drifts, the more decisions land against a company that no longer exists.

Long-tail blindness

How much of your market is invisible to registry-first data?

Registry-first vendors cover the large and the public. The long tail of private and SMB companies stays dark until it shows up as missed pipeline or unscored risk.

No audit trail

When auditors ask where a value came from, what do you say?

An attribute without a source and a timestamp is a guess. When auditors ask where a value came from, silence is the worst answer.

Trust signals

Fresh enough to act. Sourced enough to defend.

Multiple independent sources resolve into one verified record. Confidence and last-seen timestamps ship with every attribute, so downstream consumers apply their own thresholds.

Trust sources
WebRegistryNews
ResolutionMulti-source merge7 sources avg
Verified recordNorthstar Industrial Sensors
Employees2,400
IndustrySoftware Publishing
Confidence 0.97 · verified 6h ago
View coverage and methodology

How it works

Four stages. Name in, verified record out.

Input a company name and country, match to a canonical entity on our graph, attach verified attributes in sub-200ms, then return every field with confidence scores and source trails.

01

Submit input

Name and country. That is the minimum viable payload.

POST /v2/enrich
02

Resolution pass

Match the input to a canonical entity on the Veridion graph.

RESOLVE
03

Attribute fan-out

461 attributes attached by our in-house business classification model. Sub-200ms for cached records.

ENRICH
04

Confidence and provenance

Every field ships with a score and a source trail.

VERIFY

Why not LLMs

Faster, cheaper, more accurate than LLM enrichment.

Just use GPT to enrichis the most common objection, and the most expensive answer. LLMs hallucinate, can't cite a source, and can't correlate signals across sources, which is exactly the cross-checking that keeps our data accurate. Our in-house classification model is purpose-built for business intelligence, with evidence, provenance, and a typed output schema.

Generic LLM enrichment

Hallucinates factsNo way to verify what the model claims about a company.
No source trailCannot audit individual decisions after the fact.
Can't correlate sourcesSees each fact alone. No cross-checking of one source against another, so errors pass straight through.
Unstructured outputOutput shape varies per call. Schema drift on every prompt.

Veridion

Evidence-backed sourcesSource URL attached to every attribute.
Per-attribute provenanceLast-verified timestamp and confidence score on every field.
Continuous web refresh400+ registries crawled continuously. Near-real-time on signals.
Typed schema, validatedSame JSON contract every time. Drop-in for downstream pipelines.

Vs. legacy

What the incumbents can't do.

Legacy data providers refresh quarterly with fixed schemas and limited coverage; Veridion updates continuously with verified attributes across billions of companies, shrinking accuracy gaps and multiplying data richness at lower cost.

Higher accuracy+
Veridion
x
Legacy
x
More data points per record+
Veridion
x
Legacy
x
Lower cost lower
Veridion
x
Legacy
x

What you get

Deliverables

A structured, evidence-backed company profile with attribute-level provenance and freshness metadata.

Enriched company records

Verified firmographics, signals, and relationships filled across your record universe. Fill rates tracked per attribute and segment.

Ships with
  • Enrichment rules
  • Attribute definitions
  • Delivery schema

Coverage and confidence reporting

Attribute-level fill rates by segment, source, and geography. Precisely where coverage is strong and where it tapers.

Ships with
  • Fill rate by segment
  • Source mix analysis
  • Quality validation report

Provenance and freshness

Every enriched field carries its source, last-verified date, and confidence signal.

Ships with
  • Source attribution per field
  • Last-verified timestamps
  • Confidence signals

Available via

Four ways enrichment lands in your stack.

Real-time APIs for interactive workflows, batch SFTP for bulk operations, warehouse push for direct analytics, or marketplace licensing for plug-and-play integration.

REST API

Real-time, sub-200ms response.

Batch SFTP

CSV or Parquet, millions of rows per batch.

Cloud warehouse

Direct push or pull, no file handling.

Partner marketplaces

Discover and license via marketplace.

FAQ

Questions worth asking up front.

Try it

See a real enriched dataset.

Browse thousands of sample records, or scope a sample to your own sector with the data team.