Standard Analytics

Standard Analytics, established in 2014, developed the science.ai platform, a sophisticated software solution for the scientific publishing market. The company was founded by former Princeton University researchers Sebastien Ballesteros and Tiffany Bogich, aiming to streamline the creation and dissemination of scientific knowledge. Their vision was to empower scientists by leveraging open web standards and advanced algorithms.

The core of Standard Analytics' offering is the science.ai platform, designed to manage the entire lifecycle of a scientific article. It automatically transforms manuscripts from formats like Microsoft Word, along with various data types such as images, datasets, and code, into structured HTML files. This process creates web-optimized articles that are also ready for export to EPUB and print-ready PDF formats. The platform serves scientists and publishers by providing tools for creation, curation, and publication. A key feature is its integrated editorial workflow management, which includes support for both online and offline peer reviews that remain stable even if the content is modified.

Financially, the company secured a total of $1.28 million in funding over two seed rounds. The initial round occurred on February 13, 2014, followed by a larger round of $1.08 million on March 24, 2015. This funding was supported by a syndicate of investors including Techstars, New York Angels, Studio VC, Abundance Partners, and the Knight Foundation Enterprise Fund. Based in New York City, the company also received support from the Mozilla Foundation's WebFWD program and was a graduate of the Techstars NYC accelerator. According to market analysis, the company is now considered deadpooled.

Keywords: scientific publishing, academic research, publishing software, editorial workflow, data transformation, open web standards, peer review, manuscript management, scholarly communication, structured data