HireLogic, an AI-powered tech software startup aimed at smarter hiring decisions, announced a $6 million Series A funding round led by Joseph P. Landy, a former partner and co-CEO at private equity giant Warburg Pincus.

Existing investors in the Dallas startup’s $4 million seed round also participated in the Series A, bringing the company’s total funding raised to at least $10 million.

Landy, who retired from Warburg Pincus in 2020 after growing its assets under management to $56 billion, will join the HireLogic board of directors alongside its CEO, Anirban “AC” Chakrabarti, and Noam Eisenberg.

Eisenberg is a senior partner at Kingsley Gate Partners, a retained executive search firm that’s also based in Dallas. HireLogic was co-founded early in 2021 by three leaders at Kingsley Gate: Nancy Albertini, Buster Houchins, and Umesh Ramakrishnan.

Landy “is a proven investor and advisor to emerging companies, has helped numerous technology startups reach their full market potential, and recognizes the massive total addressable market opportunity for a common HR challenge,” Chakrabarti said in a statement. “HireLogic will benefit tremendously from having access to Joe’s guidance and network as we embark on our next phase of growth and go-to-market activities.”

CMO: HireLogic serves about 150 customers

[Image: Hirelogic]

HireLogic currently has 20 to 25 employees—many of whom work remotely—and about 150 customers, according to Rich Mendis, the company’s chief marketing officer.

Competitors in its space include BrightHire, HireVue, and Clovers, he said.

The startup’s seed funding came last May from investors including Edward Zander, former CEO and board chairman at Motorola; Mike Pehl, a partner at Guidepost Growth Equity and former Razorfish president; and Ann Fandozzi, CEO at industrial auctioneer Ritchie Bros.

A need for speed

[Image: Hirelogic]

HireLogic’s “conversational analytics platform,” partly developed in-house, uses advanced artificial intelligence to listen to in-person or remote job-candidate interviews and provide transcribed, “smart” synopses of the conversations.

It then applies other machine-learning models to extract objective insights “that help the interviewer make decisions faster,” Mendis said.

Among those insights are detecting candidate attributes like leadership experience, and data for interviewer coaching such as potential question bias.

Making fast but smart decisions is important, Mendis added, because more than 30 million interviews are conducted monthly in the U.S.—or 1 million a day—and companies can lose good candidates if the hiring process takes too long.

For his part, Landy said he’s looking forward to helping HireLogic “transform” the way companies interview and hire.

“I have experienced first-hand how much time and money organizations spend interviewing candidates, the lack of objective data being gathered, and the impact quality of hires has on performance,” Landy said in the statement. “What Gong did for sales intelligence, HireLogic is doing for interview intelligence in a similarly large market, and their customers are already experiencing the benefits.”

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