
Standard Analytics helps humans and machines to re-use, quote, share, and reproduce science. The company builds an API for Science to make the data, analytics, and results of any data-driven science discoverable, easy to reuse, and verifiably reproducible. Inspired by the software development workflow, it brings dependency management, continuous integration, and semantic web technologies to science. Fundamentally, the company introduces a new way to publish, consume, and share science and a new form of arguing, backed by quantitative evidence. Standard Analytics was established in 2014 and is headquartered in New York.

Standard Analytics helps humans and machines to re-use, quote, share, and reproduce science. The company builds an API for Science to make the data, analytics, and results of any data-driven science discoverable, easy to reuse, and verifiably reproducible. Inspired by the software development workflow, it brings dependency management, continuous integration, and semantic web technologies to science. Fundamentally, the company introduces a new way to publish, consume, and share science and a new form of arguing, backed by quantitative evidence. Standard Analytics was established in 2014 and is headquartered in New York.
What they do: Build an API and tooling to make data-driven scientific results discoverable, reusable, and reproducibly verifiable
Founded: 2014 (New York, NY)
Founders: Sebastien Ballesteros; Tiffany Bogich
Funding: Seed rounds in 2014 and 2015; total funding recorded as $1,200,000 (USD)
Reproducibility and discoverability of data-driven scientific results
2014
Scientific software / Research infrastructure
Seed round recorded on Mar 1, 2014
Seed round recorded on Mar 27, 2015
“New York Angels; SoundBoard Venture Fund; Archangel; Techstars; Abundance Partners”