Company Data | Global Coverage | 40 mil+ organizations
Verified Data Provider|
name
|
domain
|
domain_alias
|
b2x
|
year_founded
|
continent
|
country
|
country_code
|
state
|
state_code
|
region
|
region_code
|
district
|
district_code
|
municipality
|
municipality_code
|
address
|
lon
|
lat
|
summary
|
summary_keywords
|
type
|
structure.contact
|
structure.description
|
structure.location
|
structure.name
|
structure.type
|
products
|
partnerships
|
all_mails
|
main_contact_mail
|
all_phones
|
main_contact_number
|
employees_number
|
team.contact
|
team.cv
|
team.name
|
team.position
|
employee_class
|
news_probability
|
register_entry
|
techstack
|
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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| xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx |
| Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx |
| xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | Xxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx |
| xxxxxxxxx | Xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | Xxxxxx | xxxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | xxxxx | Xxxxxxxxxx |
| Xxxxxxxxx | xxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx | xxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxx |
| Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | Xxxxx | Xxxxx | Xxxxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | xxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxxx | xxxxx | Xxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx |
| xxxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxx |
| Xxxxxxxxxx | Xxxxxxxxx | Xxxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxx | Xxxxx | Xxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxxxx |
| xxxxx | xxxxxxx | xxxxxxxxx | xxxxxxxxx | xxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxxx | xxxxx | xxxxx | Xxxxxxxxx | xxxxx | Xxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxxx |
Data Dictionary
| Attribute | Type | Example | Mapping |
|---|---|---|---|
|
name
|
String | FTI Consulting, Inc. | |
|
domain
|
String | strategicdiscovery.com | |
|
domain_alias
|
String | fticonsulting.com | |
|
b2x
|
String | B2B, B2C | |
|
year_founded
|
String | - | |
|
continent
|
String | North America | |
|
country
|
String | United States | |
|
country_code
|
String | USA | |
|
state
|
String | California | |
|
state_code
|
String | USA.5_1 | |
|
region
|
String | ||
|
region_code
|
String | USA.5.38_1 | |
|
district
|
String | - | |
|
district_code
|
String | - | |
|
municipality
|
String | - | |
|
municipality_code
|
String | - | |
|
address
|
String | FTI Consulting Deutschland, Frankfurt am Main, Düsseldorf... | |
|
lon
|
String | -77.027.554.947 | |
|
lat
|
String | 3.889.673.275 | |
|
summary
|
String | FTI Consulting is a global leader in business advisory se... | |
|
summary_keywords
|
String | business advisory, transformation, strategy, risk managem... | |
|
type
|
String | Company | |
|
structure.contact
|
String | ||
|
structure.description
|
String | Leading consulting firm supporting clients in crisis situ... | |
|
structure.location
|
String | Frankfurt am Main, Düsseldorf, Berlin, München, Hamburg | |
|
structure.name
|
String | FTI Consulting Deutschland | |
|
structure.type
|
String | Company | |
|
products
|
String | E-Discovery & Managed Review, Risk & Compliance Consultin... | |
|
partnerships
|
String | E.ON, Merck Group, DAX-40 Companies | |
|
all_mails
|
String | [germanyadmin@fticonsulting.com, marketingfrance@fticonsu... | |
|
main_contact_mail
|
String | ||
|
all_phones
|
String | - | |
|
main_contact_number
|
String | - | |
|
employees_number
|
String | 250+ | |
|
team.contact
|
String | - | |
|
team.cv
|
String | Renato Fazzone leads the DACH region with extensive exper... | |
|
team.name
|
String | Renato Fazzone, Christian Säuberlich, Victoria Strachwitz... | |
|
team.position
|
String | Senior Managing Director, Head of FTI Consulting DACH-Reg... | |
|
employee_class
|
String | 0-10 employees | |
|
news_probability
|
String | low probability | |
|
register_entry
|
String | - | |
|
techstack
|
String | JavaScript libraries (core-js), Search engines (Coveo), P... |
Description
Country Coverage
History
Volume
| 40 million | domains |
Pricing
Suitable Company Sizes
Quality
Delivery
Use Cases
Categories
Related Searches
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Frequently asked questions
What is Company Data Global Coverage 40 mil+ organizations?
The dataset provides insights into niche organizations in the B2B landscape. It helps identify firms by industry, size or location– such as small or medium scale companies, local businesses, or specialized firms that are difficult to find through conventional channels.
What is Company Data Global Coverage 40 mil+ organizations used for?
This product has 4 key use cases. Istari.AI recommends using the data for Company Analysis, B2B Data Enrichment, Company Data Enrichment, and B2B Lead Generation. Global businesses and organizations buy Company Data from Istari.AI to fuel their analytics and enrichment.
Who can use Company Data Global Coverage 40 mil+ organizations?
This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Company Data. Get in touch with Istari.AI to see what their data can do for your business and find out which integrations they provide.
How far back does the data in Company Data Global Coverage 40 mil+ organizations go?
This product has 12 years of historical coverage. It can be delivered on a on-demand basis.
Which countries does Company Data Global Coverage 40 mil+ organizations cover?
This product includes data covering 250 countries like USA, China, Japan, Germany, and India. Istari.AI is headquartered in Germany.
How much does Company Data Global Coverage 40 mil+ organizations cost?
Pricing information for Company Data Global Coverage 40 mil+ organizations is available by getting in contact with Istari.AI. Connect with Istari.AI to get a quote and arrange custom pricing models based on your data requirements.
How can I get Company Data Global Coverage 40 mil+ organizations?
Businesses can buy Company Data from Istari.AI and get the data via S3 Bucket, Email, UI Export, REST API, and MCP Server. Depending on your data requirements and subscription budget, Istari.AI can deliver this product in .csv, .json, .parquet, and .xls format.
What is the data quality of Company Data Global Coverage 40 mil+ organizations?
Istari.AI has reported that this product has the following quality and accuracy assurances: 95% match rate. You can compare and assess the data quality of Istari.AI using Datarade’s data marketplace.
What are similar products to Company Data Global Coverage 40 mil+ organizations?
This product has 3 related products. These alternatives include Success.ai Private Company Data 28M Verified Company Profiles - Best Price Guarantee, Company Data Global Coverage 65M+ Company profiles Bi-weekly updates, and Coresignal Web Scraping Company Data Global / 71M+ Records / Largest Professional Network / Updated Daily. You can compare the best Company Data providers and products via Datarade’s data marketplace and get the right data for your use case.
