Home
Press area

Press area

Coresignal is a public web data provider of AI-enriched multi-source data on companies, employees, and jobs. It serves over 700 leading companies creating products in AI development, investment, sales technology, HR technology, and market research.

Email us
Media kit
2016
founding year
700+
clients
80+
employees
EWDCI
EWDCI certified
Ethical web data collection initiative
Datarade top data provider 2025
Top data provider
Datarade • 2024-2026
Crozdesk trusted vendor badge 2025
Trusted vendor
Crozdesk • 2025
Crozdesk quality choice badge 2025
Quality choice
Crozdesk • 2025
We were mentioned in:
CNBC
Fortune
Reworked
HR dive
Yahoo finance

Media coverage

See all
data-driven industry benchmarking
HackerNoon
What Makes Data AI-ready? 3 Must-Have Features for 2026
January 14, 2026
data-driven industry benchmarking
DataDrivenInvestor
Why Integrated Multi-Source Data Is the Future of AI-Powered Entrepreneurship
December 16, 2025
data-driven industry benchmarking
AP NEWS
Coresignal Partners With NYU Researchers to Study the Impact of Affirmative Action Ruling on U.S. Hiring Practices
October 16, 2025
data-driven industry benchmarking
AP NEWS
Coresignal and the School of Economics at the University of Edinburgh Will Partner to Study Gendered Wording in the Job Ads
September 23, 2025
data-driven industry benchmarking
CNBC
The 10 best states to look for a remote job in right now, according to new research
July 30, 2022
data-driven industry benchmarking
Fortune
Fewer workers want to be in office full-time than ever, but bosses are winning the back-to-work battle
July 20, 2022

Company news

See all
15+
data sources
News
Introducing /reasoning: New Precision Endpoint for Complex B2B Data Queries
The new /reasoning endpoint creates complex, high-accuracy B2B searches. It automatically infers entities, uses a full data schema, and translates nuanced natural-language prompts into search queries.
Lukas Racickas
May 13, 2026
15+
data sources
News
A New Agentic Search API is Now Live
Use natural language to describe the data you need and get structured B2B data back in your own app or dashboard. 
Lukas Racickas
April 16, 2026
15+
data sources
News
Coresignal Review: Features, Pricing, and Use Cases (2026 Guide)
Coresignal review of features, pricing, and use cases. Learn what it is, when to use it, how it compares to competitors, and key insights for 2026.
Coresignal
March 31, 2026
Pro bono program

Accelerating scientific research

Coresignal's pro bono program provides free data access to researchers from world's leading universities

Learn more

Media kit

Coresignal logo with a blue circular symbol followed by the black text 'coresignal'.
Coresignal logos
Download
Coresignal's experts
Experts' headshots
Download

Get in touch

For media inquiries or to contact our data experts, please reach out to us at [email protected]

Karolis Didziulis
Product Director
Areas of expertise:
Author’s publications:
Why Integrated Multi-Source Data Is the Future of AI-Powered Entrepreneurship
December 16, 2025
Redefining Ethical Web Scraping in the Wake of the Generative AI Boom
December 19, 2024
How Can You Attract and Retain Top Tech Talent?
October 14, 2024
Go Clean to Be Lean: Data Optimization for Improved Business Efficiency
June 26, 2024
Go Clean to Be Lean: Data Optimization for Improved Business Efficiency
June 21, 2024
How to Build an Efficient Data Team to Work with Public Web Data
September 23, 2023
Clean Data, Clear Insights: How Web Data Cleaning Elevates Decision-Making
January 30, 2024
Navigating the Future: AI, ML, and the New Era of Public Web Data
January 19, 2024
Things You Should Know When Scaling Your Web Data-Driven Product
August 25, 2023
Database APIs vs Datasets: Weighing Benefits, Drawbacks, and Transition Strategies
August 7, 2023
Database APIs: Benefits, Limitations, and When You Should Switch to Datasets
August 2, 2023
Database APIs: Benefits, Limitations, and When You Should Switch to Datasets
July 25, 2023
Laurynas Gruzinskas
Laurynas Gruzinskas
Head of Product
Areas of expertise:
Author’s publications:
What Makes Data AI-ready? 3 Must-Have Features for 2026
January 14, 2026
Ace in the Hole: Job Listing Data for Your Sales Strategy
June 17, 2024
Data Engineers, Here’s How LLMs Can Make Your Lives Easier
May 17, 2024
Harnessing the Potential of Web Data in Investment With Advanced AI Techniques
February 26, 2024
The Best, the Worst, and the Unusual: Ways to Leverage Company & Employee Data
April 23, 2024
5 Unusual Ways Businesses Use Data from Public Job Postings
January 8, 2024
How to Streamline Web Data Processing With AI in 2024
February 9, 2024
Untraditional Ways To Discover Tech Talent And Promising Software Projects
October 25, 2023
When Should Your Startup Consider Using Public Web Data?
October 16, 2023
Lukas Racickas
Principal Product Manager
Areas of expertise:
Author’s publications:
The critical role of data cleaning
June 6, 2024
How Public Web Data Can Improve Your Sales Intelligence
May 2, 2023
Data Blending: Manage Your Data Efficiently and Cost-Effectively
September 1, 2023
The Crucial Role of Data Lifecycle Management in Driving Business Success
September 1, 2023
Data Transformation 101: Process and New Technologies
July 6, 2023
Data transformation 101: Process and new technologies
June 29, 2023
How to Build or Transform Recruitment Platforms Using Web Data?
June 7, 2023
Processes and New Technologies in Data Transformation
June 29, 2023
How to Build or Transform Recruitment Platforms Using Web Data?
June 7, 2023
Using web data to transform recruitment platforms
May 30, 2023
How Public Web Data Can Improve Your Sales Intelligence
April 24, 2023
From Raw Data to Actionable Insights: The Power of Data Aggregation
March 23, 2023
From Raw Data to Actionable Insights: The Power of Data Aggregation
March 24, 2023
The Benefits And Core Processes of Data Wrangling
March 10, 2023
The Benefits And Core Processes of Data Wrangling
March 13, 2023
How to Improve VC Deal Sourcing Using Public Web Data
March 1, 2023
Public Web Data Guide for VC Deal Sourcing
March 2, 2023
What Are the Key Differences Between Qualitative and Quantitative Data?
February 16, 2023
How to Use Public Web Data for Talent Intelligence and Sourcing?
February 21, 2023
What Are the Key Differences Between Qualitative and Quantitative Data?
February 16, 2023
How to Use Public Web Data for Talent Intelligence and Sourcing?
February 12, 2023
Data Quality: Its Definitions And How to Improve It
February 3, 2023
What Are the Key Differences Between Structured and Unstructured Data?
February 2, 2023
Understanding the Main Differences between Structured and Unstructured Data
January 31, 2023
Data Quality, Its Definitions, And How to Improve It
January 24, 2023
Public Web Data for Business: Common Challenges And How to Solve Them
January 11, 2023
Public Web Data for Business: Common Challenges And How to Solve Them
January 9, 2023
How to Achieve Optimal Business Results with Public Web Data
December 4, 2022
How to Get Started With Public Web Data
December 14, 2022
Jurgita Motus
Senior Data Analyst
Areas of expertise:
Author’s publications:
Automating Data Quality Checks: A Practical Guide Using Dagster and Great Expectations
September 23, 2025
The Rise of Open-Source Data Catalogs: New Opportunities For Implementing Data Mesh
September 23, 2025
Dagster + Great Expectations: The Open Source Duo Transforming Data Quality Pipelines
May 15, 2025
Open-Source Data Catalogs: A New Chance to Implement Data Mesh
May 20, 2025
Traditional Monitoring Is Dead. Long Live Data Observability
May 14, 2025
The Rise of Open-Source Data Catalogs: A New Opportunity For Implementing Data Mesh
November 19, 2024
Automating Data Quality Checks with Dagster and Great Expectations
October 7, 2024
Building a Robust Data Observability Framework to Ensure Data Quality and Integrity
August 27, 2024
Ugnius Zasimauskas
Head of Data Strategy & Sales
Areas of expertise:
Author’s publications:
How to Use Big Data to Gain a Competitive Advantage in Your Industry?
October 19, 2024