Knowledge Graph | Veridion

Building Data

One record is the physical building at a location: its class, its size, its height and its footprint. It holds the building name, subtype and class, Height, Area (m2), Number of Floors, the Geometry WKT polygon, Cotenants Count, and facade and roof details, used for property risk, insurance underwriting and site assessment.

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+27% over 52 weeks

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Package	Holds
FirmographicsWho the company is: identity, size, activity, legal registration and how to reach it. It holds Core, Standard Company Information, Basic Location Details, Company Size, Business Activity, Business Contact, Standard Industry Classifications, Insurance Classifications, Digital Presence and Legal Information, the firmographic profile behind every company record.	10 datasets
Location IntelligenceEvery site a company operates from, and what the building at that site is, held in Locations L1 (where each site is), Locations L2 (what each site is) and Building Data. It answers where a company has offices, factories, warehouses or stores, how many people work at each site, and what the physical building there looks like.	3 datasets
OwnershipHow a company sits inside its corporate group, held in three tiers: the ultimate parent (L1), the majority-owned group (L2) and the affiliate group (L3). It answers who owns or controls a company, which subsidiaries it holds, and which affiliated companies share its ownership, for family tree and beneficial ownership questions.	3 datasets
Corporate TransactionsMergers and acquisitions, with the parties, dates and values attached to them, held in three tiers: the deal (L1), its financial terms (L2), and its advisers, providers and deferred payments (L3). It answers which companies a business has bought, sold or merged with, who acquired whom, when a deal was announced or closed, and what was paid.	3 datasets
Financial RiskEarly signals of financial distress, drawn from filings, news and registry events, held in the Early Risk Signals dataset. It answers whether a supplier, customer or counterparty shows operational, legal, funding or reputation stress, with a risk score and the sources behind each flag.	1 dataset
TechnographicsThe technology a company runs, detected from its own digital footprint and held in the Technology Insights dataset. It answers which software, platforms and web tools a company uses, down to product, version and vendor, and when each was first and last seen.	1 dataset
Products & ServicesWhat a company actually sells, read from its own pages rather than from a code, held in three tiers: the offering (L1), its UNSPSC classification (L2) and the full product record (L3). It answers which products and services a company offers, mapped to UNSPSC categories, with product attributes such as brand, materials, price and certifications.	3 datasets
ESGEnvironmental, social and governance data on the company: Sustainability Commitments, News and Metrics, and Sustainability Scores in three tiers, the overall and pillar scores (L1), the risk-topic scores (L2) and their industry averages (L3). It answers how sustainable a company is, what it has promised, what it emits and how it scores against its industry.	6 datasets
Supply ChainThe suppliers and vendors a company names, and the relationships between them, held in the Supply Chain Vendor Mapping dataset. It answers who supplies whom and who sells to whom, with the tier, the evidence and a confidence score for each supplier and customer link, and what flows between them.	1 dataset
Climate Transition ExposureHolds the Climate Transition Risk dataset: production volumes and capital expenditure (capex) by business activity, year by year, under transition scenarios and pathways. It answers how exposed a company is to the climate transition, for example in power generation, steel, cement or hydrocarbon production.	1 dataset
ContactsNamed people at the company, and their roles, held in the Key People dataset. It answers who works at a company and who the decision maker is, with job titles, emails and phone numbers to reach executives, buyers and department heads.	1 dataset
Custom dataAnything this graph does not list yet. Veridion builds the attributes you need, and advises on which ones your question needs.

Dataset	Holds
CoreThe keys every company record carries: its Veridion ID, the former ID it replaced, and when the record was created and last updated. Use them to join Veridion data to your own records and to know how fresh a record is.	4 attributes
Standard Company InformationThe company's own record: its names, its type, when it was founded, what it does and its main website. It holds Company Name, Alternate Names, Company Type (public or private), Year Founded, Main Industry, Main Sector, Description and the website fields, the identity a buyer uses to match, deduplicate and profile a company.	12 attributes
Basic Location DetailsThe company's main address, from country down to street number and coordinates, for its headquarters (HQ) or main operations center, and how many locations it has. Used to map companies, filter a territory or check where a business is based.	11 attributes
Company SizeHeadcount and revenue, each with whether the figure is reported or modelled. It holds Employee Count with Employee Count Type, and Revenue in US dollars with Revenue Type, so a buyer can segment companies by size, find small businesses or large enterprises, and know which numbers were published and which were estimated.	4 attributes
Business ActivityHow the company operates: its model, its markets, what it offers and what it focuses on. It holds Business Model, Target Markets, Core Offerings, Certification Focus, Technology Focus and Supply Chain Focus, used to find companies by the products and services they sell, the customers they serve, and the certifications and technologies they rely on.	6 attributes
Business ContactPhone numbers and email addresses the company publishes. It holds Primary Phone, Phone Numbers, Primary Email and Emails, the general company contact details (front office, departments, info@ addresses) a buyer uses to reach a business or to verify a supplier, as distinct from named people in Key People.	4 attributes
Standard Industry ClassificationsThe company's activity in the four standard schemes: NAICS 2022, ISIC Rev 4, NACE Rev 2 and SIC UK 2007. Each field lists every activity as an industry code and label with its estimated share of revenue, used to filter companies by industry code, match a sector definition or report by official classification.	4 attributes
Insurance ClassificationsThe same activity translated into the insurance schemes, NCCI and IBC. It holds NCCI Codes, IBC Insurance Labels and IBC Insurance Codes, used by insurers and underwriters to classify a business for workers' compensation and commercial insurance, to price a policy or to check the class of a risk.	3 attributes
Digital PresenceThe company's accounts on the major social platforms: Facebook, Twitter, Instagram, LinkedIn and TikTok. Used to find a company's social media profiles and link its web footprint to the rest of the record. Its main website is in Standard Company Information.	5 attributes
Legal InformationThe registry record: where the entity is incorporated, under what name and form, and since when. It holds the registered name and address, Jurisdiction, Legal Form, Company Status, Incorporation Date and the identifiers LEI, EIN, VAT ID and Registry IDs, used for KYC, compliance checks and matching a company to its legal entity.	19 attributes

Attribute	Type
Company Namecompany_name	string
Company Alternate Namesalternate_names	string
Company Typecompany_type	string
Year Foundedyear_founded	string
Main Business Categorymain_business_category	string
Main Industrymain_industry	string
Main Sectormain_sector	string
Company Descriptiondescription	string
Website URLwebsite_url	string
Website Domainwebsite_domain	string
Website TLDwebsite_tld	string
Website Language Codewebsite_language_code	string

Attribute	Type
Main Country Codemain_country_code	string
Main Countrymain_country	string
Main Regionmain_region	string
Main Citymain_city	string
Main Postcodemain_postcode	string
Main Streetmain_street	string
Main Street Numbermain_street_number	string
Main Address Linemain_address_line	string
Main Latitudemain_latitude	float
Main Longitudemain_longitude	float
Number of Locationsnum_locations	integer

Attribute	Type
Employee Countemployee_count	integer
Employee Count Typeemployee_count_type	string
Revenuerevenue	integer
Revenue Typerevenue_type	string

Attribute	Type
Business Modelbusiness_model	string
Target Marketstarget_markets	string
Core Offeringscore_offerings	string
Certification Focuscertification_focus	string
Technology Focustechnology_focus	string
Supply Chain Focussupply_chain_focus	string

Attribute	Type
Primary Phoneprimary_phone	string
Phone Numbersphone_numbers	string
Primary Emailprimary_email	string
Emailsemails	string

Attribute	Type
NAICS 2022naics_2022	array
ISIC Rev 4isic_rev4	array
NACE Rev 2nace_rev2	array
SIC UK 2007sic_uk_2007	array

Attribute	Type
NCCI Codesncci_codes	array
IBC Insurance Labelsibc_insurance_labels	array
IBC Insurance Codesibc_insurance_codes	array

Attribute	Type
Facebook URLfacebook_url	string
Twitter URLtwitter_url	string
Instagram URLinstagram_url	string
LinkedIn URLlinkedin_url	string
TikTok URLtiktok_url	string

Attribute	Type
Registered Company Nameregistered_company_name	string
Registered Country Coderegistered_country_code	string
Registered Countryregistered_country	string
Registered Regionregistered_region	string
Registered Cityregistered_city	string
Registered Postcoderegistered_postcode	string
Registered Streetregistered_street	string
Registered Street Numberregistered_street_number	string
Registered Address Lineregistered_address_line	string
Registered Latituderegistered_latitude	float
Registered Longituderegistered_longitude	float
Jurisdictionjurisdiction	string
Legal Formlegal_form	string
Company Statuscompany_status	string
Incorporation Dateincorporation_date	string
LEIlei	string
EINein	string
VAT IDvat_id	string
Registry IDsregistry_ids	array

Dataset	Holds
Locations L1One record is one site the company operates from, with its own address and coordinates: Country, Region, City, Postcode, Street, Address Line, Latitude and Longitude. Used to map offices, plants, warehouses and branches.	11 attributes
Locations L2What each site is and what happens there: its Location Type at three levels, the primary NAICS 2022 activity on site, and the employees and revenue at that site. Used to tell a plant from a warehouse or an office and to size each one.	9 attributes
Building DataOne record is the physical building at a location: its class, its size, its height and its footprint. It holds the building name, subtype and class, Height, Area (m2), Number of Floors, the Geometry WKT polygon, Cotenants Count, and facade and roof details, used for property risk, insurance underwriting and site assessment.	22 attributes

Attribute	Type
Location IDlocation_id	string
Country Codecountry_code	string
Countrycountry	string
Regionregion	string
Citycity	string
Postcodepostcode	string
Streetstreet	string
Street Numberstreet_number	string
Address Lineaddress_line	string
Latitudelatitude	float
Longitudelongitude	float

Attribute	Type
Location Type Level 1location_type_level1	string
Location Type Level 2location_type_level2	string
Location Type Level 3location_type_level3	string
NAICS 2022 Codenaics_2022_code	string
NAICS 2022 Labelnaics_2022_label	string
Employee Countemployee_count	integer
Employee Count Typeemployee_count_type	string
Revenuerevenue	integer
Revenue Typerevenue_type	string

Attribute	Type
Building IDbuilding_id	string
Building Namebuilding_name	string
Building Subtypebuilding_subtype	string
Building Classbuilding_class	string
Heightheight_m	float
Area (m2)area_m2	float
Number of Floorsnum_floors	integer
Building Geometry WKTgeometry_wkt	string
Bbox Xminbbox_xmin	float
Bbox Xmaxbbox_xmax	float
Bbox Yminbbox_ymin	float
Bbox Ymaxbbox_ymax	float
Cotenants Countcotenants_count	float
Cotenant NAICS 2022cotenant_naics_2022	string
Facade Colorfacade_color	string
Facade Materialfacade_material	string
Roof Shaperoof_shape	string
Roof Materialroof_material	string
Roof Colorroof_color	string
Roof Heightroof_height	float
Roof Directionroof_direction	string
Roof Orientationroof_orientation	string

Dataset	Holds
Corporate Groups L1 - Ultimate ParentThe ultimate parent: the highest-level entity in the company's corporate hierarchy, which owns or controls all related companies, with its Veridion ID, name, website domain and jurisdiction.	4 attributes
Corporate Groups L2 - Majority GroupThe companies in the group that are more than 50% owned by their parent, each with its Veridion ID, name, jurisdiction and website domain. Used to build a corporate family tree and see who owns whom.	4 attributes
Corporate Groups L3 - Affiliate GroupThe companies connected to this one through common ownership, control or financial interest, without necessarily being a direct subsidiary, each with its Veridion ID, name, jurisdiction and website domain.	4 attributes

Attribute	Type
Ultimate Parent Veridion IDultimate_parent_veridion_id	string
Ultimate Parent Company Nameultimate_parent_name	string
Ultimate Parent Website Domainultimate_parent_website_domain	string
Ultimate Parent Jurisdictionultimate_parent_jurisdiction	string

Attribute	Type
Related Company Veridion IDrelated_company_veridion_id	string
Related Company Namerelated_company_name	string
Related Company Jurisdictionrelated_company_jurisdiction	string
Related Company Website Domainrelated_company_website_domain	string

Attribute	Type
Affiliated Company Veridion IDaffiliated_company_veridion_id	string
Affiliated Company Nameaffiliated_company_name	string
Affiliated Company Jurisdictionaffiliated_company_jurisdiction	string
Affiliated Company Website Domainaffiliated_company_website_domain	string

Dataset	Holds
Merger & Acquisitions L1One record is a deal the company was party to: its type and status, the target and the bidder, the announcement, close and cancellation dates, a synopsis, and the consideration paid. Used to track mergers, acquisitions, buyouts and takeovers.	15 attributes
Merger & Acquisitions L2The deal's financial terms: cash and stock, price per share, the stake sought and owned, the shares sought and acquired, and the source of capital.	9 attributes
Merger & Acquisitions L3Who else was on the deal and what is still owed: the exchanges target and bidder trade on, the legal, financial and accounting advisers, brokers, debt and capital providers, and contingent or future payments.	10 attributes

Attribute	Type
Source URLsource_url	string
Deal Typedeal_type	string
Deal Statusdeal_status	string
Veridion ID (Target)target_veridion_id	string
Target Nametarget_name	string
Country (Target)target_country_name	string
Veridion ID (Bidder)bidder_veridion_id	string
Bidder Namebidder_name	string
Country (Bidder)bidder_country_name	string
Date: Announcementdate_announcement	date
Date: Closeddate_closed	date
Date: Cancelleddate_cancelled	date
Synopsissynopsis	string
Considerationconsideration	string
Currencycurrency	string

Attribute	Type
Cashcash	string
Stockstock	string
Price per Shareprice_per_share	string
Percentage (%) Soughtpercentage_sought	string
Percentage (%) Ownedpercentage_owned	string
Common Shares Soughtcommon_shares_sought	string
Common Shares Acquiredcommon_shares_acquired	string
Consideration in Sharesconsideration_in_shares	string
Source of Capitalsource_of_capital	string

Attribute	Type
Exchange (Target)target_exchange	string
Exchange (Bidder)bidder_exchange	string
Legal Adviserslegal_advisers	string
Accountantsaccountants	string
Financial Advisersfinancial_advisers	string
Brokersbrokers	string
Debt Providersdebt_providers	string
Capital Providerscapital_providers	string
Contingent Paymentcontingent_payment	string
Future Paymentfuture_payment	string

Dataset	Holds
Early Risk SignalsFlags for operational, legal and funding stress, each with the sources behind it, one record per company. It holds Op Disruption Flag, Legal Flag, Funding Stress Flag, Market Pressure Flag, Gov Change Flag, Layoff Ratio, Reputation Sentiment, Risk Score and Tier. Buyers use it to screen suppliers, counterparties and credit risk, and to watch for early warning signs of distress.	24 attributes
Need more Financial Risk data?Anything Financial Risk does not list yet. Veridion builds the attributes you need, and advises on which ones your question needs.

Attribute	Type
Explanationexplanation	string
Op Disruption Flagop_disruption_flag	boolean
Op Disruption Flag Sourcesop_disruption_flag_sources	string
Op Disruption Count 6mop_disruption_count_6m	integer
Legal Flaglegal_flag	boolean
Legal Flag Sourceslegal_flag_sources	string
Legal Est Cash Out 12mlegal_est_cash_out_12m	integer
Legal Est Cash Out 12m Sourceslegal_est_cash_out_12m_sources	string
Funding Stress Flagfunding_stress_flag	boolean
Funding Stress Flag Sourcesfunding_stress_flag_sources	string
Funding Stress Scorefunding_stress_score	integer
Market Pressure Flagmarket_pressure_flag	boolean
Market Pressure Flag Sourcesmarket_pressure_flag_sources	string
Gov Change Flaggov_change_flag	boolean
Gov Change Flag Sourcesgov_change_flag_sources	string
Layoff Ratiolayoff_ratio	string
Layoff Ratio Sourceslayoff_ratio_sources	string
Reputation Sentimentreputation_sentiment	float
Reputation Sentiment Sourcesreputation_sentiment_sources	string
News Velocity 30dnews_velocity_30d	integer
News Velocity 30d Sourcesnews_velocity_30d_sources	string
Last Risk Article Datelast_risk_article_date	date
Risk Scorerisk_score	integer
Tiertier	string

Dataset	Holds
Technology InsightsThe technology detected on the company's domains, down to product, version and vendor, one record per technology found, with the dates it was first and last verified. Buyers use this technographic data to find companies running a given software, platform or tech stack.	11 attributes

Attribute	Type
Technology Product IDtechnology_product_id	string
Technology Product Nametechnology_product_name	string
Technology Categorytechnology_category	string
Technology Subcategorytechnology_subcategory	string
Technology Product Descriptiontechnology_product_description	string
Technology Versiontechnology_version	string
Technology Vendor URLtechnology_vendor_url	string
Technology Vendor Nametechnology_vendor_name	string
Technology Vendor Domaintechnology_vendor_domain	string
Technology First Verified Datetechnology_first_verified	string
Technology Last Verified Datetechnology_last_verified	string

Dataset	Holds
Product & Services L1One record per product or service the company offers, named and described from its own pages, with the page it was read from. Used for supplier discovery and sourcing.	3 attributes
Product & Services L2Where each product or service sits in UNSPSC, from segment to family to class, each as a name and a code. Used for spend classification and to compare offerings across suppliers.	6 attributes
Products L3The full product record: title, identifiers, brand, intended industries, manufacturing details, price, materials, size, packaging, ratings and the quality standards and certifications it meets.	29 attributes

Attribute	Type
UNSPSC Segment Labelunspsc_segment_label	string
UNSPSC Segment Codeunspsc_segment_code	string
UNSPSC Family Labelunspsc_family_label	string
UNSPSC Family Codeunspsc_family_code	string
UNSPSC Class Labelunspsc_class_label	string
UNSPSC Class Codeunspsc_class_code	string

Attribute	Type
Product URLproduct_url	string
Product Titleproduct_title	string
Product Nameproduct_name	string
Product Descriptionproduct_description	string
UNSPSC Classificationunspsc_segment_code, unspsc_segment_label; unspsc_family_code, unspsc_family_label; unspsc_class_code, unspsc_class_label	string
Product Identifiersproduct_identifiers	string
Intended Industriesintended_industries	string
Applicabilityapplicability	string
Brandbrand	string
Manufacturing Yearmanufacturing_year	string
Manufacturing Countriesmanufacturing_country	string
Manufacturing Typemanufacturing_type	string
Production Capacityproduction_capacity	string
Customizationcustomization	string
Priceprice	string
Materialsmaterials	string
Ingredientsingredients	string
Sizesize	string
Formform	string
Colorcolor	string
Packaging Typepackaging_type	string
Energy Efficiencyenergy_efficiency	string
Power Ratingpower_rating	string
Pressure Ratingpressure_rating	string
Puritypurity	string
Eco Friendlyeco_friendly	boolean
Ethical And Sustainability Practicesethical_and_sustainability_practices	string
Quality Standards And Certificationsquality_standards_and_certifications	string
Miscellaneous Featuresmiscellaneous_features	string

Dataset	Holds
Sustainability CommitmentsEach record is one public ESG commitment the company has made, with the passage it was taken from, its source URL, and its pillar, theme and risk criteria. Use it to see a company's sustainability pledges, climate promises and policies, and to check them against the original source.	7 attributes
Sustainability NewsEach record is one piece of ESG news coverage about the company, classified by pillar, theme and risk criteria, scored for sentiment with a confidence, and dated. Use it to monitor sustainability news, controversies and reputation over time.	10 attributes
Sustainability MetricsEach record holds the company's reported greenhouse gas emissions by scope (Scope 1, Scope 2, Scope 1 & 2, Scope 3 and Total), for the baseline and current years, with units. It also carries interim reduction targets, the Net Zero Target Year and emissions intensity metrics. Use it to measure a carbon footprint and track progress on climate targets.	25 attributes
Sustainability Scores L1The company's overall ESG score and its Environmental, Social and Governance scores, each with a written justification, and where it sits against its industry. Use it to rate a company's sustainability, benchmark it against peers and screen suppliers or investments.	13 attributes
Sustainability Scores L2The company's score on each ESG risk topic, each with its justification: 16 environmental topics such as Carbon Footprint and Water Usage, 5 social such as Worker Rights, and 5 governance such as Corrupt and Unethical Transactions.	52 attributes
Sustainability Scores L3The industry average for each pillar and each risk topic, with its justification: the benchmark a company's own scores are read against.	58 attributes

Attribute	Type
Content Typeesg_content_type	string
Content Headlineesg_content_headline	string
Content Relevant Textesg_content_relevant_text	string
Content Source URLesg_content_source_url	string
Content Pillaresg_content_pillar	string
Content Themeesg_content_theme	string
Content Risk Criteriaesg_content_risk_criteria	string

Attribute	Type
Content Typeesg_content_type	string
Content Headlineesg_content_headline	string
Content Summaryesg_content_summary	string
Content Source URLesg_content_source_url	string
Content Pillaresg_content_pillar	string
Content Themeesg_content_theme	string
Content Risk Criteriaesg_content_risk_criteria	string
Content Sentiment Valueesg_content_sentiment_value	string
Content Sentiment Confidenceesg_content_sentiment_confidence	float
Content Publish Dateesg_content_publish_date	date

Attribute	Type
Source URLsource_url	string
Baseline Year Emissions - Scope 1 & 2baseline_emissions_scope1_and_2	float
Baseline Year Emissions - Scope 1baseline_emissions_scope1	float
Baseline Year Emissions - Scope 2baseline_emissions_scope2	float
Baseline Year Emissions - Scope 3baseline_emissions_scope3	float
Baseline Year Emissions - Totalbaseline_emissions_total_co2_emissions	float
Baseline Emissions - Unitbaseline_emissions_unit	string
Baseline Year Emissions - Yearbaseline_emissions_year	string
Current Emissions - Scope 1 & 2current_emissions_scope1_and_2	float
Current Emissions - Scope 1current_emissions_scope1	float
Current Emissions - Scope 2current_emissions_scope2	float
Current Emissions - Scope 3current_emissions_scope3	float
Current Emissions - Totalcurrent_emissions_total_co2_emissions	float
Current Emissions - Unitcurrent_emissions_unit	string
Current Emissions - Yearcurrent_emissions_year	string
Intermediate Target Emissions Percentages - Scope 1 & 2intermediate_target_emissions_percentages_scope1_and_2	string
Intermediate Target Emissions Percentages - Scope 1intermediate_target_emissions_percentages_scope1	string
Intermediate Target Emissions Percentages - Scope 2intermediate_target_emissions_percentages_scope2	string
Intermediate Target Emissions Percentages - Scope 3intermediate_target_emissions_percentages_scope3	string
Intermediate Target Emissions Percentages - Total Co2 Emissionsintermediate_target_emissions_percentages_total_co2_emissions	string
Intermediate Target Emissions Percentages Yearintermediate_target_emissions_percentages_year	string
Net Zero Target Snippetnet_zero_target_snippet	string
Net Zero Target Yearnet_zero_target_year	string
Emissions Intensity Metricintensity_metric	string
Emissions Intensity Metric Yearintensity_metric_year	string

Attribute	Type
ESG Descriptionesg_description	string
ESG Scoreesg_score	integer
Justification ESG Scorejustification_esg_score	string
Industry Averageindustry_average	integer
Justification Industry Averagejustification_industry_average	string
Industry Quartileindustry_quartile	integer
Justification Industry Quartilejustification_industry_quartile	string
Environmental Scoreenvironmental_score	integer
Justification Environmental Scorejustification_environmental	string
Social Scoresocial_score	integer
Justification Social Scorejustification_social	string
Governance Scoregovernance_score	integer
Justification Governance Scorejustification_governance	string

Attribute	Type
Atmospheric Contamination Scoree_atmospheric_contamination_s	integer
Justification Atmospheric Contamination Scorejustification_e_atmospheric_contamination_s	string
Carbon Footprint Scoree_carbon_footprint_s	integer
Justification Carbon Footprint Scorejustification_e_carbon_footprint_s	string
Transitional Threats Scoree_transitional_threats_s	integer
Justification Transitional Threats Scorejustification_e_transitional_threats_s	string
Mining Techniques Scoree_mining_techniques_s	integer
Justification Mining Techniques Scorejustification_e_mining_techniques_s	string
Illegal Deforestation Scoree_illegal_deforestation_s	integer
Justification Illegal Deforestation Scorejustification_e_illegal_deforestation_s	string
Land Contamination Scoree_land_contamination_s	integer
Justification Land Contamination Scorejustification_e_land_contamination_s	string
Water Contamination Scoree_water_contamination_s	integer
Justification Water Contamination Scorejustification_e_water_contamination_s	string
Water Usage Scoree_water_usage_s	integer
Justification Water Usage Scorejustification_e_water_usage_s	string
Protected Regions Scoree_effects_on_protected_regions_s	integer
Justification Protected Regions Scorejustification_e_effects_on_protected_regions_s	string
Endangered Species Scoree_effects_on_endangered_species_s	integer
Justification Endangered Species Scorejustification_e_effects_on_endangered_species_s	string
Unsustainable Energy Practices Scoree_unsustainable_energy_practices_s	integer
Justification Unsustainable Energy Practices Scorejustification_e_unsustainable_energy_practices_s	string
Unlawful Fishing Scoree_unlawful_fishing_s	integer
Justification Unlawful Fishing Scorejustification_e_unlawful_fishing_s	string
Plastic Contamination Scoree_plastic_contamination_s	integer
Justification Plastic Contamination Scorejustification_e_plastic_contamination_s	string
Illegal Wildlife Trade Scoree_illegal_wildlife_trade_s	integer
Justification Illegal Wildlife Trade Scorejustification_e_illegal_wildlife_trade_s	string
Habitat Quality and Medication Use Scoree_habitat_quality_and_medication_use_s	integer
Justification Habitat Quality and Medication Use Scorejustification_e_habitat_quality_and_medication_use_s	string
Testing on Animals Scoree_testing_on_animals_s	integer
Justification Testing on Animals Scorejustification_e_testing_on_animals_s	string
Child Exploitation and Human Trafficking Scores_child_exploitation_and_human_trafficking_s	integer
Justification Child Exploitation and Human Trafficking Scorejustification_s_child_exploitation_and_human_trafficking_s	string
Involuntary Displacement Scores_involuntary_displacement_s	integer
Justification Involuntary Displacement Scorejustification_s_involuntary_displacement_s	string
Worker Rights Scores_worker_rights_s	integer
Justification Worker Rights Scorejustification_s_worker_rights_s	string
Misbehavior by Security Staff Scores_misbehavior_by_security_staff_s	integer
Justification Misbehavior by Security Staff Scorejustification_s_misbehavior_by_security_staff_s	string
Sensitive Weapons Involvement Scores_sensitive_weapons_involvement_s	integer
Justification Sensitive Weapons Involvement Scorejustification_s_sensitive_weapons_involvement_s	string
Corrupt and Unethical Transactions Scoreg_corrupt_and_unethical_transactions_s	integer
Justification Corrupt and Unethical Transactions Scorejustification_g_corrupt_and_unethical_transactions_s	string
Monopoly Practices Scoreg_monopoly_practices_s	integer
Justification Monopoly Practices Scorejustification_g_monopoly_practices_s	string
Adverse Influence on Consumers Scoreg_immoral_behaviour_or_adverse_health_influence_on_consumers_s	integer
Justification Adverse Influence on Consumers Scorejustification_g_immoral_behaviour_or_adverse_health_influence_on_consumers_s	string
Inclusivity Scoreg_inclusivity_s	integer
Justification Inclusivity Scorejustification_g_inclusivity_s	string
Wage Disparity Scoreg_wage_disparity_s	integer
Justification Wage Disparity Scorejustification_g_wage_disparity_s	string

Attribute	Type
Environmental Industry Averageenvironmental_industry_average	integer
Justification Environmental Industry Averagejustification_environmental_industry_average	string
Social Industry Averagesocial_industry_average	integer
Justification Social Industry Averagejustification_social_industry_average	string
Governance Industry Averagegovernance_industry_average	integer
Justification Governance Industry Averagejustification_governance_industry_average	string
Atmospheric Contamination Industry Averagee_industry_atmospheric_contamination_s	integer
Justification Atmospheric Contamination Industry Averagejustification_e_industry_atmospheric_contamination_s	string
Carbon Footprint Industry Averagee_industry_carbon_footprint_s	integer
Justification Carbon Footprint Industry Averagejustification_e_industry_carbon_footprint_s	string
Transitional Threats Industry Averagee_industry_transitional_threats_s	integer
Justification Transitional Threats Industry Averagejustification_e_industry_transitional_threats_s	string
Mining Techniques Industry Averagee_industry_mining_techniques_s	integer
Justification Mining Techniques Industry Averagejustification_e_industry_mining_techniques_s	string
Illegal Deforestation Industry Averagee_industry_illegal_deforestation_s	integer
Justification Illegal Deforestation Industry Averagejustification_e_industry_illegal_deforestation_s	string
Land Contamination Industry Averagee_industry_land_contamination_s	integer
Justification Land Contamination Industry Averagejustification_e_industry_land_contamination_s	string
Water Contamination Industry Averagee_industry_water_contamination_s	integer
Justification Water Contamination Industry Averagejustification_e_industry_water_contamination_s	string
Water Usage Industry Averagee_industry_water_usage_s	integer
Justification Water Usage Industry Averagejustification_e_industry_water_usage_s	string
Protected Regions Industry Averagee_industry_effects_on_protected_regions_s	integer
Justification Protected Regions Industry Averagejustification_e_industry_effects_on_protected_regions_s	string
Endangered Species Industry Averagee_industry_effects_on_endangered_species_s	integer
Justification Endangered Species Industry Averagejustification_e_industry_effects_on_endangered_species_s	string
Unsustainable Energy Practices Industry Averagee_industry_unsustainable_energy_practices_s	integer
Justification Unsustainable Energy Practices Industry Averagejustification_e_industry_unsustainable_energy_practices_s	string
Unlawful Fishing Industry Averagee_industry_unlawful_fishing_s	integer
Justification Unlawful Fishing Industry Averagejustification_e_industry_unlawful_fishing_s	string
Plastic Contamination Industry Averagee_industry_plastic_contamination_s	integer
Justification Plastic Contamination Industry Averagejustification_e_industry_plastic_contamination_s	string
Illegal Wildlife Trade Industry Averagee_industry_illegal_wildlife_trade_s	integer
Justification Illegal Wildlife Trade Industry Averagejustification_e_industry_illegal_wildlife_trade_s	string
Habitat Quality and Medication Use Industry Averagee_industry_habitat_quality_and_medication_use_s	integer
Justification Habitat Quality and Medication Use Industry Averagejustification_e_industry_habitat_quality_and_medication_use_s	string
Testing on Animals Industry Averagee_industry_testing_on_animals_s	integer
Justification Testing on Animals Industry Averagejustification_e_industry_testing_on_animals_s	string
Child Exploitation and Human Trafficking Industry Averages_industry_child_exploitation_and_human_trafficking_s	integer
Justification Child Exploitation and Human Trafficking Industry Averagejustification_s_industry_child_exploitation_and_human_trafficking_s	string
Involuntary Displacement Industry Averages_industry_involuntary_displacement_s	integer
Justification Involuntary Displacement Industry Averagejustification_s_industry_involuntary_displacement_s	string
Worker Rights Industry Averages_industry_worker_rights_s	integer
Justification Worker Rights Industry Averagejustification_s_industry_worker_rights_s	string
Misbehavior by Security Staff Industry Averages_industry_misbehavior_by_security_staff_s	integer
Justification Misbehavior by Security Staff Industry Averagejustification_s_industry_misbehavior_by_security_staff_s	string
Sensitive Weapons Involvement Industry Averages_industry_sensitive_weapons_involvement_s	integer
Justification Sensitive Weapons Involvement Industry Averagejustification_s_industry_sensitive_weapons_involvement_s	string
Corrupt and Unethical Transactions Industry Averageg_industry_corrupt_and_unethical_transactions_s	integer
Justification Corrupt and Unethical Transactions Industry Averagejustification_g_industry_corrupt_and_unethical_transactions_s	string
Monopoly Practices Industry Averageg_industry_monopoly_practices_s	integer
Justification Monopoly Practices Industry Averagejustification_g_industry_monopoly_practices_s	string
Adverse Influence on Consumers Industry Averageg_industry_immoral_behaviour_or_adverse_health_influence_on_consumers_s	integer
Justification Adverse Influence on Consumers Industry Averagejustification_g_industry_immoral_behaviour_or_adverse_health_influence_on_consumers_s	string
Inclusivity Industry Averageg_industry_inclusivity_s	integer
Justification Inclusivity Industry Averagejustification_g_industry_inclusivity_s	string
Wage Disparity Industry Averageg_industry_wage_disparity_s	integer
Justification Wage Disparity Industry Averagejustification_g_industry_wage_disparity_s	string

Dataset	Holds
Supply Chain Vendor MappingSupplier and customer pairs, one record per link, each with both companies and their tiers, the evidence and a confidence score for the relationship, and what flows between them: the items, their category and type. Buyers use it to map vendors, find a company's customers and suppliers, and trace tier 1 and tier 2 supply chain exposure.	16 attributes
Need more Supply Chain data?Anything Supply Chain does not list yet. Veridion builds the attributes you need, and advises on which ones your question needs.

Attribute	Type
Customer Veridion IDcustomer_veridion_id	string
Customer Company Namecustomer_name	string
Customer Website Domaincustomer_website_domain	string
Customer Company Tiercustomer_tier	string
Supplier Veridion IDsupplier_veridion_id	string
Supplier Company Namesupplier_name	string
Supplier Website Domainsupplier_website_domain	string
Supplier Company Tiersupplier_tier	string
Supply Relationship Confidence Scoresupply_chain_relationship_confidence	float
Supply Relationship Justificationsupply_chain_relationship_reasoning	string
Supply Chain Relationship Evidence Typesupply_chain_relationship_evidence_type	string
Supply Flow Itemssupply_flow_items	string
Supply Flow Categorysupply_flow_category	string
Supply Flow Typesupply_flow_type	string
Supply Flow Justificationsupply_flow_justification	string
Supply Flow Confidence Scoresupply_flow_confidence_score	float

Dataset	Holds
Climate Transition RiskOne record is a company and one business activity, with its production and capital spend year by year against transition pathways. It holds Activity, Activity Type, Indicator, Unit and Status, then Production, CAPEX ($), Source and Reasoning for each year from 2021 to 2028. Buyers use it to size climate transition risk by activity and sector.	42 attributes

Attribute	Type
Veridion IDveridion_id	string
Company Namecompany_name	string
Activityactivity	string
Indicatorindicator	string
Unitunit	string
Activity Requirementactivity_requirement	string
Activity Typeactivity_type	string
Statusstatus	string
2021 Production2021_production	string
2021 CAPEX ($)2021_capex_USD	string
2021 Source (CAPEX)2021_source_capex	string
2021 Reasoning (CAPEX)2021_reasoning_capex	string
2022 Production2022_production	string
2022 CAPEX ($)2022_capex_USD	string
2022 Source (CAPEX)2022_source_capex	string
2022 Reasoning (CAPEX)2022_reasoning_capex	string
2023 Production2023_production	string
2023 CAPEX ($)2023_capex_USD	string
2023 Source (CAPEX)2023_source_capex	string
2023 Reasoning (CAPEX)2023_reasoning_capex	string
2024 Production2024_production	string
2024 CAPEX ($)2024_capex_USD	string
2024 Source (CAPEX)2024_source_capex	string
2024 Reasoning (CAPEX)2024_reasoning_capex	string
2025 Production2025_production	string
2025 CAPEX ($)2025_capex_USD	string
2025 Source (CAPEX)2025_source_capex	string
2025 Reasoning (CAPEX)2025_reasoning_capex	string
2026 Production2026_production	string
2026 CAPEX ($)2026_capex_USD	string
2026 Source (CAPEX)2026_source_capex	string
2026 Reasoning (CAPEX)2026_reasoning_capex	string
2027 Production2027_production	string
2027 CAPEX ($)2027_capex_USD	string
2027 Source (CAPEX)2027_source_capex	string
2027 Reasoning (CAPEX)2027_reasoning_capex	string
2028 Production2028_production	string
2028 CAPEX ($)2028_capex_USD	string
2028 Source (CAPEX)2028_source_capex	string
2028 Reasoning (CAPEX)2028_reasoning_capex	string
Created Atcreated_at	timestamp
Last Updated Atlast_updated_at	timestamp

Dataset	Holds
Key PeopleNamed people at the company, with their role and how to reach them, one record per contact. It holds First Name, Surname, Job Title, Emails, Phone Numbers, Country of Residence and an Active flag. Buyers use it to find the decision maker, the executive or the buyer at a target account and to build a contact list for outreach.	9 attributes

Attribute	Type
Contact IDcontact_id	string
First Namefirst_name	string
Surnamesurname	string
Middle Namemiddle_name	string
Emailsemails	string
Phone Numbersphone_numbers	string
Job Titlejob_title	string
Country of Residencecountry_of_residence	string
Activeactive	boolean

Attribute	Type
Veridion IDveridion_id	string
Former Veridion IDformer_veridion_id	string
Created Atcreated_at	timestamp
Last Updated Atlast_updated_at	timestamp

Attribute	Type
Product URLproduct_url	string
Product Name / Service Nameproduct_name; service_name	string
Product Descriptionproduct_description	string

Entity Knowledge Graph

Packages

Firmographics

Core

Standard Company Information

Basic Location Details

Company Size

Business Activity

Business Contact

Standard Industry Classifications

Insurance Classifications

Digital Presence

Legal Information

Location Intelligence

Locations L1

Locations L2

Building Data

Ownership

Corporate Groups L1 - Ultimate Parent

Corporate Groups L2 - Majority Group

Corporate Groups L3 - Affiliate Group

Corporate Transactions

Merger & Acquisitions L1

Merger & Acquisitions L2

Merger & Acquisitions L3

Financial Risk

Early Risk Signals

Technographics

Technology Insights

Products & Services

Product & Services L1

Product & Services L2

Products L3

ESG

Sustainability Commitments

Sustainability News

Sustainability Metrics

Sustainability Scores L1

Sustainability Scores L2

Sustainability Scores L3

Supply Chain

Supply Chain Vendor Mapping

Climate Transition Exposure

Climate Transition Risk

Contacts

Key People

Custom data