
BidMachine, launched in 2019, is a leading in-app bidding technology that empowers app developers and publishers to maximize their advertising revenues through a transparent and efficient auction process. By enabling multiple demand partners—including agents, marketers, and ad networks—to compete simultaneously for ad impressions, BidMachine democratizes the ad buying process, ensuring that both publishers and advertisers benefit from increased transparency and optimized performance. 

With BidMachine's machine learning-powered platform, users gain full control, flexibility, and access to granular, real-time data, allowing for actionable insights and effective ad performance optimization. The platform's direct SDK integration facilitates effortless setup, unlocking monetization opportunities within minutes and enabling publishers to build and grow successful advertising businesses. 

BidMachine also offers compatibility with various mediation platforms, such as Level-Play, MAX, and Helium, allowing publishers to add BidMachine as an additional demand source seamlessly. This integration increases the number of demand partners competing for ad space, thereby boosting revenues and providing a robust platform for ad management. 

By fostering direct relationships with demand-side platforms (DSPs) and advertisers, BidMachine eliminates unnecessary ad tech fees, improving profit margins and granting publishers complete control over their ad tech infrastructure. This approach ensures a high-quality user experience while maximizing ad revenue, making BidMachine a reliable partner for scaling and optimizing mobile ad monetization strategies.  

Advertising

Mobile

Technology

BidMachine

This department focuses on creating strategic partnerships and driving business growth through operational initiatives.

Business Development

This department focuses on leveraging data analysis and machine learning to drive insights and solutions.

Data Science and Engineering

This department is responsible for the design, development, and maintenance of software applications and systems.

Software Engineering

This department focuses on enhancing customer satisfaction and ensuring successful product adoption through dedicated support and account management.

Customer Success

This department focuses on ensuring the quality and reliability of products through systematic testing and validation processes.

Quality Assurance

This department focuses on interpreting complex data sets to provide insights and support decision-making across the organization.

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Data Science and Engineering

Software Engineering

Customer Success

Quality Assurance

Data Analysis