Veridion provides business data enrichment with unprecedented coverage of private companies, accurate classification and in-depth insights based on real-time updates, for procurement, insurance, market intelligence and more.
Always driven by the complexity of AI and Machine Learning, we build more efficient ways of getting more data and get more out of it. Urged on reliability and complete-ness, our datasets have yet to be beaten in terms of accuracy and classification by industry mammoths.
The people at Veridion are committed to enrich your organization with the best possible data to break new business ground with your private companies.
Veridion provides business data enrichment with unprecedented coverage of private companies, accurate classification and in-depth insights based on real-time updates, for procurement, insurance, market intelligence and more.
Always driven by the complexity of AI and Machine Learning, we build more efficient ways of getting more data and get more out of it. Urged on reliability and complete-ness, our datasets have yet to be beaten in terms of accuracy and classification by industry mammoths.
The people at Veridion are committed to enrich your organization with the best possible data to break new business ground with your private companies.
What they do: AI-powered business data provider delivering enriched company profiles and supplier intelligence via APIs.
Coverage: Company-maintained dataset: 80M+ weekly-updated profiles (Nov 2023); later announced global coverage of 134M+ companies (Feb 2026).
Founding: Founded 2019 in Bucharest, Romania by Florin Tufan, Mihai Vinaga, and Sorina Vlasceanu.
Funding signal: Raised a $6.0M Seed round (Feb 2023); listed career page states $9M raised to date; latest listed round: Non-equity Assistance (Sep 3, 2024).
Related Companies
Company
HQ
Industry
Total Funding
Exa
🇺🇸US
Information TechnologyInternet ServicesSoftware
$112M
MeshyAI
🇺🇸US
Information TechnologySoftware
-
xAI
🌍Remote
—
$37B
MarqVision (YC S21)
🇺🇸US
Data and AnalyticsDeepTechInformation TechnologyLegalProfessional ServicesSoftware
-
Shalion
🇪🇸ES
—
-
Company Overview
Problem Domain
Business data enrichment and supplier intelligence for procurement, market intelligence, and insurance underwriting/risk assessment.
Founded
2019
Industry
Information Services
Funding Track Record
Seed- Feb 2023
$6.0M
Non-equity Assistance- Sep 3, 2024
Investor Signal
“Backed by LAUNCHub Ventures, OTB Ventures, Underline Ventures, Day One Capital, GapMinder Venture Partners; Joint Innovation Accelerator for Sustainable Finance participated in a Non-equity Assistance round (Sep 2024).”
Founders
What we do
Join the Team
Data Engineer
On-SiteBucharest, RO
On-Site • Bucharest, RO
Your role
You will play an essential role within our Data Delivery team, ensuring we meet the evolving data needs of our clients, while continuously enhancing data delivery processes.
Your responsibilities will involve developing and optimizing data management processes, handling diverse data formats from multiple sources, and proactively structuring and cleaning data for effective and efficient delivery. Your mission will be to ensure the smooth flow of data from source to destination, maintaining high quality and accuracy throughout the process.
What you'll do
Work closely with the Customer Success and Data Engineering teams to address clients' data needs and enhance data delivery processes.
Design, develop, maintain and optimize ETL processes and data pipelines to ensure timely and accurate data delivery.
Continuously monitor and improve the performance and accuracy of data pipelines.
Work with data sources, transformation tools, and scheduling mechanisms to efficiently orchestrate data flows efficiently.
Implement data validation checks and quality assurance processes to ensure accuracy, consistency and reliability of delivered data.
Use statistical analysis (spreadsheets, SQL etc.) to identify and resolve data anomalies, maintaining data quality standards.
Develop custom data models and algorithms to optimize data extraction and processing.
Generate and deliver accurate datasets to clients and partners.
Prototype quickly to solve complex use cases, prioritizing practical solutions over theoretical ones.
Prepare and verify data samples and usage reports for collaboration with Sales and Growth teams.
Actively engage with team members and stakeholders to understand data delivery requirements and objectives.
Identify areas of opportunity and improvement throughout data delivery processes.
Your qualifications
What's in it for you
Pioneering work at the forefront of Big Data, Infrastructure and Machine Learning that sometimes means relying on academic papers as our only formal guiding tools in moving onwards.
The chance to shape an original product in a fast growing company, backed by VC investors
A merit-based, no BS, value-oriented and particularly collaborative work environment
Fair compensation, the possibility of ESOP and upward salary growth based on performance.
Groundbreaking professional challenges and the autonomy to try stuff for the very first time, no matter how experienced you are.
The promise to use the right tool for the job to be able to channel your efforts on what can’t be compensated for — the best use of your skills and abilities.
What we expect from you in return
High speed and uncompromising quality in your work
A growth mindset, able to capitalize on unprecedented contexts through your skills and abilities
An appetite to grapple with a variety of technical challenges
The ability to quickly and effectively evaluate technical tradeoffs and translate them into relevant scenarios
Consistent performance over time coordinated with a matching set of values
Strong problem solving skills that enhance the way you deal with the tension between brief and shipping
Recruitment process
An assignment
2 discussions, one of which is face to face
We need people who are zealous about revolutionary technology, highly collaborative work and raising the bar on our product as it is unfolding. If you're excited about our mission, but don't yet meet 100% of the qualifications above, we still encourage you to apply.
Teeming tracks opportunities at over 24,000 AI startups, then works with you to find (and land) the one you'll love.
DevOps Engineer
Full-timeJerusalem
Full-time • Jerusalem
Technical Writer
InternshipMunich, DE
Internship • Munich, DE
Data Scientist
InternshipUtrecht, NL
Internship • Utrecht, NL
Frontend Developer
Part-timeNew York, US
Part-time • New York, US
Technical Writer
InternshipHamburg, DE
Internship • Hamburg, DE
Data Scientist
Part-timeJerusalem
Part-time • Jerusalem
Previous experience as a Data Engineer, Data Analyst, Data Scientist or a similar role.
Experience with data warehousing, data modeling, and ETL processes.
Excellent knowledge of ETL processes and data pipeline development.
Proficiency in working with SQL and statistical analysis tools.
Experience using statistical computer languages (e.g. Python, Scala, R) to manipulate and analyze data.
Experience with big data technologies (Spark, Cassandra) is a plus.
Familiarity with statistical techniques and their applications.
Familiarity with data architecture principles and best practices.
Any experience with predictive modeling and data optimization techniques is a plus.
Attention to detail and the ability to maintain focus while analyzing large datasets.
Experience writing efficient and testable code.
Ability to quickly prototype and implement practical solutions.
Strong communication and collaboration skills to work effectively with cross-functional teams.
English - advanced.
The space to try new things out (your way) paired with the freedom to make reasoned decisions and own them.
Aversion to the idea of any customer or colleague struggling with what you delivered
High tolerance for ambiguity, marked by your ambition to push forward with incomplete information
Resilience, especially in front of failure, that is always paired with pioneering work