Rivalry2

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Original 2026-01-01

Modified 2026-02-28

1 If you’ve spent time comparing background-check providers, you’ve probably seen the same headline everywhere:fast results, accurate data, low cost.

2 But behind those claims, most providers are still doing the same thing-layering software on top of heavily manual processes. That model can’t keep pace with today’s hiring needs. Accuracy declines as volume increases, and smaller customers often end up subsidizing the level of service reserved for the largest accounts.

3 Traditional background-check companies rely mostly on humans. That makes it hard to keep up with legislation, new data sources, or better ways of interpreting information. We don’t believe in trade-offs. Whether a customer runs ten checks a year or ten million, they deserve the same best-in-class technology.

4 Gio Granato

5 Senior Director of Data, ML & AI,Checkr

6 At Checkr, we’ve built something different-a data-first, AI-powered system designed to improve accuracy, fairness, and speedsimultaneously.No compromises.

7 A single misclassified record can change a life. When background checks get it wrong, candidates lose opportunities and employers lose trust.

8 Accuracy, then, isn’t about decimals, it’s about dignity. It’s about whether hiring decisions are made on clear, consistent, and fair information.

9 That’s why Checkr AI is trained on millions of verified records, continuously refined through ahuman-in-the-loop model.Checkr AI handles the repetitive, error-prone work of parsing legal language and structuring data. Human experts validate the edge cases, apply nuance, and feed their decisions back into the system - creating a continuous learning loop that keeps getting smarter.

10 Machine learning has been in Checkr’s DNA long before it was a buzzword. Today, generative AI enhances that foundation - it helps us simplify interactions, improve customer experience, and strengthen the technical backbone of the product.

11 Gio Granato

12 Senior Director of Data, ML & AI,Checkr

13 Hiring data starts messy. Records arrive from hundreds of fragmented sources, each with its own format and level of completeness. Left untouched, that data is hard to interpret-and harder to trust.

14 Checkr’s process transforms that complexity into clarity:

15 <ol><li>Data collection:We gather millions of public records from disparate sources.</li>

16 <li>Data enrichment:AI translates legal jargon, abbreviations, and inconsistencies into structured, human-readable insights.</li>

17 <li>Decision enablement:The result is a clear, verified report that recruiters and compliance teams can act on confidently.</li>

18 </ol>Without this enrichment, hiring teams would need to interpret legal codes themselves-a slow, inconsistent process that increases the risk of disputes. With Checkr, they get decision-ready insights that accelerate onboarding and reduce bias.

19 The best hiring decisions still depend on human judgment. That’s why Checkr AI is designed tosupportdecision-making, not replace it.

20 Checkr AI eliminates noise-scanning, matching, and structuring millions of records with precision-while human experts step in where context matters most. Together, they form a feedback loop that delivers fair, explainable, and auditable outcomes.

21 AI should make life easier for people whodon’tthink about background checks every day. If you’re opening a restaurant franchise, running a dealership, or hiring seasonal staff for an amusement park, you shouldn’t have to think hard about what kind of check you need. Our goal is to bring the best learnings from across the industry to every customer, automatically.

22 Gio Granato

23 Senior Director of Data, ML & AI,Checkr

24 In 2025’s AI era, speed and scalability are no longer optional; they’re table stakes. Yet traditional models can’t keep up without sacrificing quality or inflating cost.

25 Because Checkr’s systems are built on atech-first foundation, upgrades happen instantly. When a new model improves classification accuracy, every customer benefits immediately, not just the biggest ones.

26 A tech-first foundation lets us upgrade to a new model very quickly. Every customer, large or small, gets the benefit at once. That’s the power of software over manual processes.

27 Gio Granato

28 Senior Director of Data, ML & AI,Checkr

29 At scale, that consistency matters. It ensures every organization, from startups to global enterprises, gets the same reliability, accuracy, and fairness across every background check.

30 When your background check provider treats data as a living system that is continuously cleaned, validated, and improved, the benefits cascade.

31 <ol><li>Fewer disputes:Candidates spend less time challenging errors.</li>

32 <li>Faster onboarding:Teams make confident decisions sooner.</li>

33 <li>Fairer outcomes:Every hiring decision rests on clear, consistent data.</li>

34 </ol>The outcome isn’t just operational efficiency, it’s trust. When your checks are transparent, accurate, and consistent, candidates feel respected, and teams make better decisions.

35 In an era where every company claims to use AI, differentiation doesn’t come from having models; it comes from havingdata and discipline.

36 Checkr’s approach to AI is grounded in the fundamentals: quality data, responsible design, and continuous learning. That’s how we deliver accuracy and fairness at scale-and why every improvement we make benefits every customer.

37 Because when you build on strong data, AI doesn’t replace people. It empowers them to make better decisions, faster.

38 <h4>About the author</h4>

39 As a Senior Product Marketing Manager, Jeff blends storytelling and strategy to bring Checkr products to life-connecting what’s built to what customers truly need. With a passion for championing the voice of our customers, he turns insights into narratives that drive adoption and spark connection.