Correlation One

Sham Mustafa Co-Founder and Co-CEO

Case Study: Growth

Start early.

Tell us about your company and your role.

Data science is transforming all aspects of our economy. Over the next few years, demand for data scientists is projected to exceed supply by more than five times. Correlation One is a data science company focused on the data talent market. We help companies evaluate and train data science and AI talent. Correlation One builds solutions for enterprises which range from data science assessments to advance neural networks-based algorithms which automate resume scoring. I am the Co-Founder and Co-CEO of Correlation One.

What was your experience with the Clarus R+D team?

Our experience with the Clarus R+D team was outstanding! We were not familiar with the R&D credit and felt the process would be cumbersome. The Clarus team was really knowledgeable, very responsive (even during the holidays), and solutions-oriented. They made sure we completed all the necessary paperwork on time, coordinated with our CPA, and provided valuable advice throughout the process.

The R&D program is an immensely valuable resource which can help your business innovate and grow.


How do you plan to use the R&D tax credit?

Continuously investing in the best technology and research talent is a mission-critical part of our business. We plan to use the savings we realized through the R&D credit to hire more data scientists.

What tips would you give other entrepreneurs?

The R&D program is an immensely valuable resource that can help your business innovate and grow. In our first year, we received a payroll tax credit of $40,000 which is a really meaningful saving for us.

Any advice for prospective Clarus R+D customers?

You are in very good hands! The Clarus R+D team is exceptional, and you could not find a better partner to help you navigate this complex credit. Just make sure you start the process early enough to meet the filing deadlines.

Year Founded: 2015

Headquarters: New York, NY

Focus: Helping companies win the race for data talent


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