Extract, transform, and validate data from any file: CSV, PDF, and more
TableFlow enables enterprises to extract and transform unstructured data from CSVs, PDFs, images, and web pages. Instead of spending time on manual data entry and validation, teams use TableFlow to automate these tasks with AI.
Hi everyone, we’re Eric and Mitch from TableFlow! 👋
Many companies rely on spreadsheets, PDFs, and other file types to import partner or customer data, which exists in a variety of formats. This difficult and time-consuming process often leads to companies relying on a combination of in-house tooling and manual work to migrate the data. This becomes even more problematic when ingesting hundreds or thousands of files a week.
TableFlow handles the file import process with automated pipelines that use AI to map, extract, transform, and validate data.
How it works:
We met while working at Heymarket, a Series-A startup in SF. Mitch was the first product hire, and Eric was the first full-stack engineer. During our two years there, we co-owned many projects and defined many of the engineering & product processes to help the company scale. We became friends outside of the office by talking about startups, tennis, pickleball, and mountain biking.
Mitch started his career as an engineer before moving to the dark side (product 😛). He previously worked at GE Digital and Bolt and founded a company focused on B2B payments.
Eric is a software engineer who previously worked at Facebook and myMatrixx and co-founded a company that created a search engine for car shopping online.
💌 If your team handles recurring imports of data in different schemas and formats, we’d love to hear about the problems you’ve encountered. Just leave your info here, and we’ll reach out!