AI for Talent

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Why NimbleCat?

NimbleCat is the fastest way to recruit the hottest candidates on the planet. Machine learning drives our talent engine and pinpoints the hottest talent including hard to find machine learning and data science professionals. Use NimbleCat yourself or ask us to do it for you!

What we do

Talent Discovery finds high-value talent across the web. Talent Search shortlists the highest value candidates. Talent Analytics tells you who's in your talent pool, guides your outbound spend and measures the ROI of your efforts. And, if your recruiters are already running hard, Talent Direct enables you to leverage our team of veteran recruiters to deliver high value candidates directly to you.

How we do it

Nimblecat has an amazing ability to identify high-value professionals. Our machine learning engine uses unique metrics for leadership and professional talent combined with education and experience. Backed by three patents and verified with over 2.8 million resumes. Now trained to find machine learning, data science and autonomous car professionals!

What you get

  • Faster sourcing and candidate review
  • Measurably better candidates
  • Increased effectiveness and efficiency
  • Sharp decreases in time to hire
  • Measurable ROI for branding and outreach
  • Talent analytics for your leadership

Talent Direct puts our team to work for you!

The new Talent Direct service from NimbleCat empowers you to hire mission-critical, high value employees without paying 25% plus search fees. Our team uses the NimbleCat AI for Talent platform to discover candidates that even the most imaginative keyword searches are unlikely to uncover.

We engage stubbornly passive candidates to bring them to the table. Then, our team of veterans in recruiting, engineering, marketing and sales ensures that they are highly talented and a likely fit for your team and company culture. Talent Direct saves your hiring managers and recruiters valuable time.

We just staffed an entire deep learning center for a Bay Area company, D2S, as well as hiring several other high value employees for them. All this at a cost savings of 60% on what they would have paid in agency fees.

Talent Search

Talent Search gets you to quality candidates faster!

  • Machine learning evaluations from NimbleCat's AI pinpoint high value candidates
  • One searchable talent pool across all your sourcing efforts. Leverage each sourcer's work with the entire team
  • Find candidates you've overlooked in your ATS
  • Quickly find social profiles across LinkedIn, Facebook, StackOverflow and others
  •  Chat immediately with candidates on our mobile app,   email candidates with one click,   tag candidates for future reference, and   make notes on candidates.

Talent Analytics

Talent Analytics give you and your leadership unique insights on the quality of the talent available to you right now. Here are some examples of what NimbleCat tracks in your talent pool.

High value candidates

Companies worked at

Quality of school attended

The Team

Sunil Mehta

Sunil is a co-founder & CEO @ NimbleCat. He has built and marketed products at the intersection of machine learning, SaaS, mobile and social for the past fifteen years. Sunil earned his Ph.D. from Stanford University.

Poonam Murgai

Poonam is a co-founder @ NimbleCat. She has over twenty years of experience managing entrepreneural teams and delivering products for small and large organizations. Poonam has earned degrees from IIT Delhi and the University of Illinois.

David Meyer

David is a co-founder & Chief Scientist @ NimbleCat. He has 29 years of computational linguistics experience, both in the United States and abroad, and has developed several unique machine learning engines across multiple domains David holds a PhD in Linguistics from the University of Edinburgh.

David Seaver

David is a co-founder and Director of Marketing at NimbleCat. He has over fifteen years of experience designing and marketing products at the intersection of machine learning, SaaS and mobile. David earned his degree in Product Design Engineering at Stanford and works in user experience, visual and graphic design, branding, marketing, and creative development.

Herb Deitz

Herb is the Vice President of Recruiting Platforms at NimbleCat. He guides the development of NimbleCat's machine learning-powered recruiting platform. Herb has over 25 years of experience in recruiting for early-stage and established companies like, Demandtec, IBM, VMWare and Inktomi.

The Company

NimbleCat is the first talent acquisition platform that uses machine learning to make recruiting teams more effective and empowers leaders to drive recruiting strategy with real time talent and engagement analytics.

NimbleCat's machine learning technology measures candidate's leadership skills and professional accomplishments. This technology is the subject of three US patents. The machine learning algorithms that power the classification engine identify individuals with the skills that every enterprise needs, including manufacturing, marketing, sales and legal. The classification engine has been trained for multiple verticals, including software and hardware engineering and life sciences, with more on the way.


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San Francisco, CA

+1 510 868 2800

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