autoDNA Tech Stack

Vehicle history reports powered by data extraction robots and AI classification

Technology, Information and Internet Łódź, Łódź Voivodeship 51–200 employees Founded 2010 Privately Held

autoDNA aggregates and structures vehicle history data for used car buyers across Europe and globally. The tech stack reveals a data-pipeline architecture: Java, Python, PHP backends running on PostgreSQL/MySQL, with SoapUI and Selenium for API testing and browser automation. Active projects show a shift toward automation—testing robots, data processing robots, and AI-based classification tools—while pain points center on maintaining uninterrupted data flow and scaling pipelines, suggesting the company is moving from manual data collection toward autonomous extraction and ML-driven validation.

Tech Stack 43 technologies

Core StackSelenium Java PostgreSQL MySQL Jira Jenkins Python PHP LinkedIn Ads GitLab Zendesk SoapUI Redmine Bamboo CodeIgniter Instagram Meta TikTok LinkedIn YouTube Meta Business Suite TikTok Ads YouTube Studio Hootsuite Sprout Social Google Workspace Git Livechat Microsoft Office REST API+13 more

What autoDNA Is Building

◆Challenges

Maintaining uninterrupted data stream
Modernizing existing robots
Ensuring high-quality data delivery
Automating data pipelines
Ensuring uninterrupted data flow
Organic traffic growth
Conversion traffic growth
Optimizing content performance
Increasing engagement
Ensuring consistency across markets

▲Active Projects

Testing robots and data processing applications
Developing ai models for data classification
Organic social media strategy
New format testing
Pilot launch scaling
Developing data processing robots
Modernizing existing robots
Vehicle data api
Data acquisition robots
Ai-based data identification tools

Hiring Activity

Steady7 roles · 3 in 30d

Department

Engineering

Marketing

Support

Seniority

Junior

Lead

Mid

Company intelligence

Find more companies like autoDNA by tech stack, pain points and active projects

Get started free

About autoDNA

autoDNA generates vehicle history reports for used car purchasers, aggregating background data available through public and proprietary sources to help buyers make informed decisions. The platform processes vehicles with VIN lookups and generates structured reports covering passenger cars, trucks, motorcycles, and trailers manufactured after 1981. Founded in 2010, the company operates as a market leader in Europe and globally, serving millions of users. The business model relies on data acquisition, validation, and API delivery; hiring is concentrated in Poland across engineering, marketing, and support functions.

HeadquartersŁódź, Łódź Voivodeship

Company Size51–200 employees

Founded2010

Hiring MarketsPoland

Frequently Asked Questions

What tech stack does autoDNA use?

Java, Python, PHP, PostgreSQL, MySQL. Testing and automation via SoapUI, Selenium, Jenkins, Bamboo. Project management in Jira and Redmine. Social media and analytics via Hootsuite, Sprout Social, Meta Business Suite, TikTok Ads, LinkedIn Ads.

What is autoDNA working on?

AI models for data classification, data processing robots, testing robots, vehicle data API development, data acquisition automation, and modernizing existing extraction systems. Also scaling organic social media strategy and pilot launches.