Our Data - Veridion

The most complete database of

company data.

Updated weekly.

Gathered by AI with human precision.

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Excellent Coverage

Eliminate the need for multiple data vendors with global company visibility powered by AI.

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Broad array of attributes

Ingest quickly expanding company profiles with data on all aspects of a business, from legal names to specific product traits to ESG Materiality mapping.

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Fresh and Accurate

Stay in the now with data refreshes from dynamic sources no later than two weeks old

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Affordable & Accesible

Embed data into your products with confidence at low costs with smart pricing policies that encourage usage and experimentation.

The world of Veridion data

Your data is always in the now

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Meet our data acquisition champions

Billions of websites, petabytes of data, processed weekly. We can only do this with the help of our machine learning models.

01
The Classifiers

A suite of transformers-based classifiers trained on multiple languages. They attribute companies to fixed taxonomies (sectors, industries, categories, insurance codes etc).

02
The Entity Recognisers

A combination of Named Entity Recognisers and heuristics that find and understand entities from company websites.

03
The Activity Extractor

A collection of extractive-based models trained to find specific text passages. They extract what a company specializes in in an open-ended fashion for new potential niches.

04
The Taggers

A selection of extractive and semantic techniques working in unison to associate tags to a company.

05
The Description Discoverers

An ensemble of abstractive and extractive models working on top of our website sectioning algorithms. Professionally trained to sniff out marketing gibberish (like this one) from descriptions.

06
Guessing Garry

A carefully fine-tuned classifier model on short texts. Using only the name of a company, Gary takes rough guesses of industry placement.

Our Data Dictionary

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Data Points
Description
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Names (Legal + Trade)

The Legal Name of a company refers to its official name, which is used in legal documents such as the Privacy Policy. On the other hand, the Trade Name of a company is the name by which it is commonly known commercially.

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Locations (HQ & Other Locations)

Returns the headquarters and all secondary physical locations and addresses for the company. Each address can be identified by its Country, Region, City, Postcode, and Geo-coordinates.

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Company Descriptions

The short description provides a brief overview of the company’s activities, while the longer description delves into more detail about the company’s business operations.

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Company Type

Companies can be categorized into three types based on their ownership structure. “Public” refers to companies that are listed on the stock exchange, “Non-profit” is reserved for organizations that do not operate for the purpose of making a profit, and “Private” applies to companies that are privately held.

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Year Founded

The year when the company was founded.

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Veridion Industry Category

Veridion’s proprietary Industry classification scheme uses a machine learning model to classify the business based on its business activities.

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Website

The web address (URL) of the company’s website.

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Phone numbers

These will usually be front office phone numbers or department level phone numbers.

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Corporate Email Address

General business emails for the company.

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Business Activity Tags

A machine learning model identifies key attributes, related to the company’s activities. For example, a tech company may contain tags such as “startup”, “SaaS”, “Artificial Intelligence”. Or a Landscaper may contain risk tags such as “Tree Trimming”.

Data Points
Description
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Employee Count

Number of people employed by the company.

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Revenue Estimates

Company revenue, based on disclosed information on the web.

Data Points
Description
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LinkedIn

The company’s LinkedIn URL

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YouTube

The company’s YouTube URL

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Facebook

The company’s Facebook URL

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Tik-Tok

The company’s Tik-Tok URL

Data Points
Description
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NAICS (Primary & Secondary)

The primary and secondary six-digit NAICS codes & labels based on machine learning predications

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SIC

The four-digit numerical Standard Industrial Classification (SIC) Codes & labels

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ISIC

The four-digit numerical code ISIC codes & labels

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NACE

The four-digit NACE codes & labels

Data Points
Description
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IBC

Up to five Insurance Bureau of Canada (IBC) codes & labels based on machine learning predictions

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NCCI

The four-digit NCCI code that insurers use to classify employees exposure to risk

Data Points
Description
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Technographics

Types of technologies that are used by the company website and public assets such as: Content Management System, E-Commerce Platform and other web technologies.

Data Points
Description
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Product Name

The product name as provided by the company that is selling or producing the product for over 4 million manufacturers.

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Product Description

The primary section of information detailing the product’s specifications that are being offered by a company.

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UNSPSC Classification

The (two,six and eight-digit) UNSPSC numerical code and label for the product. Classified based on machine learning models

Data Points
Description
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SICS Classification

The SASB Sustainability Industry Classification Scheme (SICS) Industry code & label for a company. Based on machine learning predicitions

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ESG Commitments

ESG Commitments disclosed by the company such as Net Zero Pledges, Human Rights Commitments, Diversity Commitments etc. Classified into standard industry taxonomies.

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ESG News

ESG News about the companies behaviours such as its impact on the environment, sustainability initiatives, governance. Classified into standard industry taxonomies.

Explore the Veridion Data Universe

Play around with the biggest, freshest source of truth for company data.

Discover Veridion Explore

All your company data needs, 2 APIs

Access our 70M+ company profiles anywhere, with nothing but an API key

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Complex Search API

Find companies by any criteria, from firmographic data to specific product details

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Match & Enrich API

Match companies with our records using as little as a name and an address. Enrich your data with our Source-of-Truth data set.

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