Deep Learning intelligence

Find companies using Deep Learning technologies

Explore 48 Deep Learning products used by 795,272 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 Deep Learning 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

Deep Learning technologies

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

#1

Google Translate API

697,881tracked companies89% market share
#2

OpenCV

35,108tracked companies<5% market share
#3

Keras

30,814tracked companies<5% market share
#4

neon

7,875tracked companies<5% market share
#5

MXNet

1,903tracked companies<5% market share
#6

NLTK

2,054tracked companies<5% market share
#7

scikit-image

1,501tracked companies<5% market share
#8

spaCy

1,658tracked companies<5% market share
#9

NVivo

1,130tracked companies<5% market share
#10

TextBlob

979tracked companies<5% market share

Need the companies behind these technologies?

Request a custom list filtered by technology, location, company size and buyer role.

Request contacts
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 Deep Learning 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.

Deep LearningTechnology 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 AGoogle Translate APITechnology evaluationIT leadership
Example Company BOpenCVPlatform 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 Deep Learning buyers?

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

Request a custom list

Frequently asked questions

What is Deep Learning?

A branch of AI using neural networks to learn complex patterns from large amounts of data.

Which products are most widely used?

Google Translate API, OpenCV and Keras 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.