AI & ML Training Data | 800M Profiles for LLMs, Generative AI, NLP & Predictive Models
# | schema_version |
profile_id |
updated_month |
company_name |
industry |
categories |
categories_count |
slogan |
about_us |
specialties |
specialties_count |
headquarters |
locations.address |
locations.address_2 |
locations.primary |
locations_count |
country_code |
website |
social_followers |
social_url |
image_url |
cover_image_url |
crunchbase_url |
type |
founded |
stock_symbol |
company_size |
employees_num |
employees.full_name |
employees.position |
employees.location |
employees.social_url |
employees.image_url |
employees_count |
affiliated_companies.company_name |
affiliated_companies.industry |
affiliated_companies.social_url |
affiliated_companies.image_url |
affiliated_companies_count |
similar_companies.company_name |
similar_companies.industry |
similar_companies.location |
similar_companies.social_url |
similar_companies.image_url |
similar_companies_count |
company_id |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx |
2 | 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 |
3 | 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 |
4 | 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 |
5 | 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 |
6 | 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 |
7 | 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 |
8 | 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 |
9 | 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 |
10 | xxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxxxxx | xxxxxx | xxxxxxxxxx | xxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxx | xxxxxxxxxx | xxxxxxx | xxxxxxxx | Xxxxx | xxxxx | xxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxx |
... | Xxxxxxxxxx | Xxxxxxxx | xxxxxx | xxxxxx | Xxxxxx | xxxxxx | xxxxx | Xxxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxx | xxxxxx | xxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | xxxxxxx | Xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxxx | xxxxx | xxxxxx | xxxxxx | Xxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxx | xxxxxxxxxx |
Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
schema_version
|
Integer | 14 | |
profile_id
|
String | 65952282ff42e582 | |
updated_month
|
DateTime | 2024-05-07T00:00:00+00:00 | |
company_name
|
String | StackQL Studios | |
industry
|
String | Software Development | |
categories
|
String | Software Development | |
categories_count
|
|||
slogan
|
String | A new approach to querying and provisioning cloud services. | |
about_us
|
String | StackQL is cloud infrastructure automation, asset managem... | |
specialties
|
|||
specialties_count
|
|||
headquarters
|
String | Melbourne, Victoria | |
locations.address
|
String | 570 Bourke St | |
locations.address_2
|
String | Level 24 Melbourne, Victoria 3000, AU | |
locations.primary
|
Boolean | t | |
locations_count
|
|||
country_code
|
String | au | |
website
|
String | https://stackql.io/ | |
social_followers
|
Integer | 361 | |
social_url
|
String | https://www.linkedin.com/company/stackql | |
image_url
|
String | https://media.licdn.com/dms/image/C560BAQHgliVCaW8ZVQ/com... | |
cover_image_url
|
String | https://media.licdn.com/dms/image/C561BAQFeaex6VtR2Vg/com... | |
crunchbase_url
|
String | https://www.crunchbase.com/organization/stackql-studios | |
type
|
String | Privately Held | |
founded
|
Integer | 2021 | |
stock_symbol
|
|||
company_size
|
String | 2-10 | |
employees_num
|
Integer | 2 | |
employees.full_name
|
String | Jeffrey Aven | |
employees.position
|
String | Cloud and Data Consultant, Author… | |
employees.location
|
|||
employees.social_url
|
String | https://www.linkedin.com/in/jeffreyaven | |
employees.image_url
|
String | https://media.licdn.com/dms/image/C5603AQHbXvP73R7BLg/pro... | |
employees_count
|
|||
affiliated_companies.company_name
|
|||
affiliated_companies.industry
|
|||
affiliated_companies.social_url
|
|||
affiliated_companies.image_url
|
|||
affiliated_companies_count
|
|||
similar_companies.company_name
|
String | Gamma Data | |
similar_companies.industry
|
String | Data Infrastructure and Analytics | |
similar_companies.location
|
String | Melbourne, Victoria | |
similar_companies.social_url
|
String | https://www.linkedin.com/company/gamma-data | |
similar_companies.image_url
|
String | https://media.licdn.com/dms/image/C510BAQGetizNRujPKg/com... | |
similar_companies_count
|
|||
company_id
|
Integer | 74504841 |
Description
Country Coverage
History
Volume
730 million | Individual Profiles |
50 million | Company Profiles |
5 | x More Accurate Audience Data |
100 | % Validated Identity Data |
30 | Days Refresh Cycle |
Pricing
License | Starts at |
---|---|
One-off purchase | Available |
Monthly License | Available |
Yearly License | Available |
Usage-based | Available |
Suitable Company Sizes
Quality
Delivery
Use Cases
Categories
Related Searches
Related Products
Frequently asked questions
What is AI & ML Training Data 800M Profiles for LLMs, Generative AI, NLP & Predictive Models?
Xverum’s Machine Learning (ML) data will help you to train LLMs and generative AI with 800M B2B profiles. 100+ attributes, global coverage, and GDPR-compliant data for NLP, predictive analytics, and industry-specific AI solutions.
What is AI & ML Training Data 800M Profiles for LLMs, Generative AI, NLP & Predictive Models used for?
This product has 5 key use cases. Xverum recommends using the data for Artificial Intelligence (AI), Predictive Analytics, Customer Acquisition, B2B Data Enrichment, and LLM Training. Global businesses and organizations buy Natural Language Processing (NLP) Data from Xverum to fuel their analytics and enrichment.
Who can use AI & ML Training Data 800M Profiles for LLMs, Generative AI, NLP & Predictive Models?
This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Natural Language Processing (NLP) Data. Get in touch with Xverum to see what their data can do for your business and find out which integrations they provide.
How far back does the data in AI & ML Training Data 800M Profiles for LLMs, Generative AI, NLP & Predictive Models go?
This product has 4 years of historical coverage. It can be delivered on a hourly, daily, weekly, monthly, quarterly, yearly, and on-demand basis.
Which countries does AI & ML Training Data 800M Profiles for LLMs, Generative AI, NLP & Predictive Models cover?
This product includes data covering 250 countries like USA, China, Japan, Germany, and India. Xverum is headquartered in United States of America.
How much does AI & ML Training Data 800M Profiles for LLMs, Generative AI, NLP & Predictive Models cost?
Pricing information for AI & ML Training Data 800M Profiles for LLMs, Generative AI, NLP & Predictive Models is available by getting in contact with Xverum. Connect with Xverum to get a quote and arrange custom pricing models based on your data requirements.
How can I get AI & ML Training Data 800M Profiles for LLMs, Generative AI, NLP & Predictive Models?
Businesses can buy Natural Language Processing (NLP) Data from Xverum and get the data via S3 Bucket, Email, UI Export, and REST API. Depending on your data requirements and subscription budget, Xverum can deliver this product in .json and .csv format.
What is the data quality of AI & ML Training Data 800M Profiles for LLMs, Generative AI, NLP & Predictive Models?
Xverum has reported that this product has the following quality and accuracy assurances: 99% Complete and Fully Updated Data. You can compare and assess the data quality of Xverum using Datarade’s data marketplace. Xverum has received 1 review from clients.
What are similar products to AI & ML Training Data 800M Profiles for LLMs, Generative AI, NLP & Predictive Models?
This product has 3 related products. These alternatives include Textual Data NLP-enriched Data Transcription Data Entity Extraction & Disambiguation Ready-to-use, Nexdata Large Language Model Data SFT Data Pre-training Data LLM Data Text AI & ML Training Data Natural Language Processing (NLP) Data, and Coresignal Employee Data AI-Enriched Dataset Global / 589+ Records / Updated Weekly. You can compare the best Natural Language Processing (NLP) Data providers and products via Datarade’s data marketplace and get the right data for your use case.