Checkr Announces Acquisition of GoodHire
This acquisition brings two of the most innovative companies together to serve businesses of all sizes!
Companies of all sizes now expect innovation and a great candidate experience to win talent — the kind delivered by innovative gig companies like Uber and Doordash. After all, each new hire is critical when it comes to growing a small business. With this acquisition, Checkr is positioned to bring an innovative, best-in-class software platform to customers of all sizes – now including small businesses as well.
Learn More about Checkr here!
More than 17,000 companies trust Checkr for their background screenings. The Checkr AI-powered background check platform is built to help you hire great people faster, while maintaining compliance, trust, and safety. Checkr integrates directly with Greenhouse to make overseeing the screening process simple and reliable.
Checkr is the only background check company using artificial intelligence and machine learning to make hiring more inclusive and efficient. Learn how Checkr is setting a new standard for speed, accuracy, and safety.
Solutions Tailored to Your Needs
Checkr helps you hire at scale, improve compliance, and streamline operations. Checkr works with companies and hiring leadership roles of all kinds.
- Increase operational efficiency
- Improve candidate experience and conversion
- Expand and optimize your candidate pool
- Differentiate your brand to attract candidates and customers
More Efficient Screenings
AI can identify, classify, and filter data faster than legacy background checks, which allows you to screen faster, with fewer resources.
Background Check ETAs
Gain insight into the expected completion date of a report so you can set expectations with your candidates.
Expand your candidate pool, improve compliance, and cut time on adjudication by more than 90% with better filtering and evaluation tools.
Dynamic Compliance Tools
Lower your risk with our dynamic compliance tools, which generate relevant paperwork, manage legally reportable results, and optimize filtering.