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.
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!
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 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
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 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 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 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 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 Ancestry.com, Demandtec, IBM, VMWare and Inktomi.
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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