Checkr, Inc.

Somewhere, an HR Manager Just Hit Send

At 9:14 a.m. on a Tuesday, a recruiter in Phoenix uploads a candidate's name and date of birth into a web form. Across the country, an Uber driver in Newark refreshes the app, hoping the green light comes back today. Between them sits a software company most people have never heard of - and a question that used to take two weeks to answer.

That question - can we trust this person? - is the oldest one in hiring. For most of the twentieth century it was answered with phone calls, fax machines, and a stranger driving to a county clerk's office. Then Checkr showed up with an API.

Today, Checkr is a 1,800-person, $4.6 billion company that runs background checks for Uber, Instacart, DoorDash, OpenAI, Kia, Subway and tens of thousands of smaller employers. The recruiter in Phoenix has her answer in minutes. The driver in Newark is on the road by noon. The fax machine is in a landfill.

An Industry Built for the Filing Cabinet

The background-screening business is not glamorous. It is, however, enormous - a $5 billion a year line item that touches almost every hire in America. And in 2014, it was an industry whose technology had aged at the speed of regulation, which is to say, slowly.

Daniel Yanisse and Jonathan Perichon had a front-row seat. The two engineers had landed at Deliv, an on-demand delivery startup whose entire growth plan hinged on signing up drivers fast. The bottleneck wasn't recruiting. It wasn't onboarding. It was the background check - a tedious, manual, week-long detour run by vendors who treated software the way the DMV treats software.

This was the moment, the company likes to say, that the lightbulb flickered on. The actual lightbulb was probably a frustration email. Either way, the conclusion was the same: this was a product problem, not a paperwork problem.

NASA, Y Combinator, and a Very Specific Kind of Stubbornness

Yanisse, before he was a CEO, was an engineer who worked on Mars rover prototypes at NASA. Perichon was a coder who had moved from France for the startup oxygen. The two had bounced together through Mogreet and Deliv before deciding the better problem was the one nobody at parties wanted to talk about.

They applied to Y Combinator in the summer of 2014 with a five-page pitch and a working prototype. By demo day, they had ten paying customers. Investors, who normally pretend background checks are someone else's industry, paid attention. A $9 million Series A from Accel arrived within months. A small ride-sharing company called Uber - which would, that year, learn what a hiring bottleneck really looks like - became an anchor customer.

The bet was less about technology than about timing. The gig economy was about to vacuum up millions of drivers, couriers, and shoppers. Every one of them needed to be checked. None of them wanted to wait two weeks.

What Happens When You Send the Form

From the outside, Checkr looks like a single button. From the inside, it's an orchestration engine. A check kicks off identity verification, a county-by-county criminal search, a sex-offender registry sweep, driving records where relevant, education and employment verifications, and any number of optional add-ons - drug testing, credit, healthcare-specific screenings, international sources. The platform stitches the answers together, applies the customer's compliance rules, and returns a result.

Most checks now complete in under an hour. Many complete in minutes.

The Numbers, Without the Hand-Waving

Checkr's quietest superpower is that it does not need to oversell itself. The numbers do that work. Revenue roughly doubled between 2021 and 2023. The customer list reads less like a sales deck and more like a list of companies that move people for a living.

The customer roster matters as much as the revenue. Uber and Lyft were the early gig anchors. DoorDash, Instacart, Grubhub followed. Then came the enterprise wave: OpenAI, Subway, Kia, Birkenstock, Allstate. Workday, Greenhouse, iCIMS and SAP SuccessFactors became distribution partners. The platform stopped being the gig-economy screening tool and started being the screening tool.

The Argument Hidden Inside the Software

Background checks have an unflattering history. For decades they were a quiet mechanism for keeping people with records out of work - sometimes legitimately, often not. Roughly one in three American adults has some kind of criminal record. The math of permanent exclusion does not work, either economically or morally.

Checkr's stated mission is to build a fairer future by improving the understanding of the past. In practice that means building the Fair Chance Dashboard - a product that shows employers, in plain numbers, how many candidates with records they hire and how those hires perform. It also means signing the Pledge 1% commitment to donate one percent of product, equity, and profits. And it means, somewhat radically for a screening vendor, hiring people with records itself.

What an AI-Native Screening Company Looks Like

The next chapter is already drafted. In early 2026, Yanisse told reporters Checkr would level up and move to building with AI across the company, including empowering non-technical staff to build internal tools. The product roadmap shows where that energy lands: AI-generated charge explainers, document fraud detection, automated I-9 verification, expanded continuous monitoring.

The competitive story is also turning. Sterling, First Advantage and HireRight - the old guard - have spent the last few years racing to look like Checkr. Checkr has spent that time racing to look like an AI company. It is a familiar pattern. The incumbents catch up to the API. The startup has moved on to the model.

9:14 a.m., Phoenix. Still Tuesday.

The recruiter's screen blinks green before her coffee cools. The driver in Newark gets the notification on the way to lunch. Neither of them thought about Checkr. Neither of them needed to. That, more than the valuation or the customer list, is the company's real product - a step in hiring that used to be a wall, quietly turned into a door.

The door, as Checkr would point out, was always supposed to open.