ABOUT US

We’re a diverse team — in expertise, gender, and life experience — and we’re collaborating to help organizations find the high-value signal hidden in the noisy world of human-generated text data.

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Our team

Rebecca Fair

CEO & Co-Founder

Dr. Gary King

Chairman & Co-Founder

Dr. Patrick Lam

Lead Data Sci. & Co-Founder

Jonah Safar

Engineering Services Mgr.

Shannon Hynds

Quality Assurance Lead

Anastasia Mark

Director of Product

Andy Buckreis

Full-stack Engineer

Sam Skove

Product Manager

Dev Shah

Full-stack Engineer

Brian Bumpas

Subject Matter Expert

OUR STORY

Thresher was born from a team of data scientists from Harvard, a 15-year veteran of the software and security engineering space, and a former intelligence officer who understood the need of experts conducting high stakes analysis. This understanding has enabled us to become an award-winning, successful startup built on machine learning and natural language processing solutions backed by world-class and patent-pending data science methodologies.

Why the shark? The Thresher shark is sharp, agile, and lean and is known for its exceptionally long tail. In fact, it has one of the longest in the animal kingdom and uses it to hunt. Because we strive to be sharp, agile, lean, and because approximately 70% of searches are conducted using "long tail keywords", we felt a kinship to our Thresher shark friends. (A long tail keyword is a keyword phrase with at least three words designed to target a very specific search.  In fact, on a daily basis 15% of all Google searches have never been seen before.)

The Thresher team is proud to have participated in multiple selective programs designed to identify emerging businesses with value. We are grateful for the help and mentorship these organizations have provided.

"The speed of problem identification and solution implementation, the constant engagement with new and challenging questions, and—most of all—the camaraderie of our team, set Thresher apart."

Dr. Evann Smith, Senior Data Scientist

Queries built by our users have generated data sets that change the answers to their questions.