AI is transforming our world.
We’re transforming businesses with simpler smarter vision AI.
AI makes the world smarter. Plainsight makes AI simpler.
Our platform for turn-key vision AI illuminates the information your business cares about. Our platform makes computer vision insights actionable for enterprise-ready solutions.
We expedite collaboration across your organization by giving entire teams, including business users, streamlined, straightforward ways to create and consume AI.
For businesses across industries, the ability to quickly and easily build, manage, and operationalize computer vision solutions powers automated processes, risk mitigation, enhanced product portfolios, and increased revenue opportunities.
Simply put, your most valuable business information is now visible in plain sight.
Carlos Anchia
Co-Founder & Chief Executive Officer
Carlos brings vast technical leadership experience to Plainsight with a proven track record in creating new business value and driving long-term customer success. While aligning cutting-edge technology solutions with current and emergent business needs, Carlos builds and maintains effective business relationships with high-profile industry partners, cross-organizational teams and his staff. Prior to joining Plainsight, Carlos built and released a global IoT platform at Insteon where he developed deep partnerships with Microsoft, Google, Apple, and Amazon. The successful launch comprised a number of industry firsts in Mobile and Web experiences for the Smart Home. Previously, Carlos drove technical excellence across a large multi-discipline software team at Distillery. As the CTO for CURAGO, he was responsible for all technical facets of the business, as well as formation and mentorship of strong development teams. Carlos is committed to helping Enterprise customers by providing technical guidance for solving the complexities of complete Data Lifecycle Management at scale.
Elizabeth Spears
Co-Founder & Chief Product Officer
Elizabeth has led productization of a series of multi-layer, compute-intensive software service platforms, usually pioneering the product management function in her companies. She began her career while still in college, as an engineer and product leader at Alelo, which developed a social simulation, rich media learning platform for culture and language training. Her product helped US troops perform more effectively when deployed to Afghanistan and Iraq. Elizabeth similarly built and led the product function at Bottlenose, where she simultaneously transformed the usability, scalability and data diversity of the Nerve Center real-time streaming data ingestion, comprehension and analytics platform for enterprise. As a product consultant, she led collaborative innovation teams at Google, Adidas and others, and later joined Distillery Tech, a design and development agency, to launch their startup & enterprise products development division, leading the product, UI and UX teams. At Plainsight, Elizabeth has productized nascent technologies to a very high functional and usability standard, creating the products that put her companies into revenue and sustainable funding.
Logan Spears
Co-Founder & Chief Technology Officer
Logan’s career began when he started a software development shop out of his West Virginia University dorm room. His company specialized in oil & gas and logistics, and operated for three years in the epicenter of the Marcellus Shale boom. While consulting for ShaleApps, pitched as Uber for the Oilfield, Logan was offered a full-time position to run the engineering department. In his first three months, Logan cut engineering costs by 50% and built an in-house team from scratch. This positioned ShaleApps to be successfully acquired in less than a year. Following interests in Big Data, IoT, and Machine Learning, Logan moved to California to join Plainsight and help create a platform that solves some of the major challenges in these areas. As a hands-on manager and true full-stack engineer, Logan has worked on and led nearly every part of the Plainsight stack including mobile, server, and machine learning.