We build machines that read and write

Organizations today face a problem. The amount of data we are collecting is growing exponentially. At the same time the number of human analysts who can read it is at best growing linearly. We require new ways to close this intelligence gap and accelerate our understanding of the world.

Primer is a machine intelligence company that uses machine learning and natural language processing to automate the analysis of large datasets. We build systems that read documents, discover insights and automatically generate reports comparable to those of a human analyst.

Our products are built on top of a core set of computational engines. Their architecture is modular by design, allowing for continuous development on our analytic pipeline. These engines allow our customers to process a diverse set of document types across multiple languages. They do the work of extracting information, identifying key insights, performing analysis at scale, and generating output as human-readable text and graphics.

Before Primer, Sean was co-founder & CTO of Quid, an augmented-intelligence company. He holds a PhD in physics from Oxford, where his research as a Rhodes Scholar focused on complex systems and the mathematical patterns underlying modern war. He sits on the Board of Directors at Anadarko (NYSE:APC) and is a TED Fellow.