AI Frameworks intelligence

Find companies using AI Frameworks technologies

Explore 24 AI Frameworks products used by 137,165 tracked companies, identify relevant accounts, and connect with decision-makers. Technology counts are approximate estimates. Product install bases may overlap and should not be summed as unique companies.

10Listed technologies
GlobalTarget account coverage
CustomFirmographic filters
B2BDecision-maker targeting
TECHNOLOGY USER INTELLIGENCE

Know who uses AI Frameworks technologies

Build targeted prospect lists around the technologies relevant to your sales strategy.

Technology install base

Identify accounts using products and services in this category.

Company intelligence

Segment accounts by industry, geography, employee size, and other available firmographics.

Decision-maker contacts

Reach relevant IT, operations, and business stakeholders with available professional contact data.

TECHNOLOGY LANDSCAPE

AI Frameworks technologies

Explore technology names in this category. Company-usage figures are shown where available.

#1

Hugging Face

30,335tracked companies22% market share
#2

Google Cloud AI Platform

21,115tracked companies14% market share
#3

Google Vertex AI

17,108tracked companies13% market share
#4

AWS Bedrock

17,258tracked companies11% market share
#5

Scale AI

14,031tracked companies10% market share
#6

IBM Watson

9,762tracked companies7% market share
#7

Microsoft Semantic Kernel

6,135tracked companies<5% market share
#8

Weights & Biases

4,444tracked companies<5% market share
#9

Azure Cognitive Services

3,940tracked companies<5% market share
#10

LangChain

3,644tracked companies<5% market share

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Technology counts, where displayed, are source-linked estimates. Product install bases may overlap and should not be summed as unique companies.
BUYER INTELLIGENCE

Find accounts researching AI Frameworks solutions

Combine technology usage with relevant buying signals to prioritize your target accounts. Signal availability varies by dataset.

Research activity

Relevant technology topics and account-level research.

Buying-stage context

Prioritize accounts using available evaluation indicators.

AI FrameworksTechnology migrationTechnology evaluation

Account

Identify companies

Topic

Understand interest

Stage

Prioritize research

Contact

Find buying roles

SAMPLE OUTPUT

From technology users to target accounts

Combine technology and firmographic data to build a qualified prospect list. The example below is illustrative, not actual customer data.

AccountTechnologyResearch topicTarget roles
Example Company AHugging FaceTechnology evaluationIT leadership
Example Company BGoogle Cloud AI PlatformPlatform migrationTechnical decision-makers
Illustrative records only; no live intent or account claims are made.

Buyer intelligence fields you can request

Account & firmographics

Company, website, industry, location, employee and revenue ranges.

Technology environment

Products and services identified within the technology stack.

Research signals

Relevant topics and available activity indicators.

Buying committee

Relevant stakeholders and decision-making roles.

Contact data

Available business contact details for outreach.

Sales prioritization

Custom filters to focus on best-fit accounts.

Turn technology signals into a target account list

1

Select technologies

2

Choose intent topics

3

Apply ICP filters

4

Activate outreach

Ready to target AI Frameworks buyers?

Tell us which technologies, countries and company profiles you want to reach.

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Frequently asked questions

What is AI Frameworks?

Frameworks and platforms for building and deploying AI applications.

Which products are most widely used?

Hugging Face, Google Cloud AI Platform and Google Vertex AI lead this category.

Can I get companies using just one specific product?

Yes, request a custom filtered list for that single product.

Can I filter by location, company size, industry, or buyer role?

Yes, by those firmographics and relevant AI roles.

Do these company counts add up to unique companies?

No, install bases may overlap and should not be summed.