Author Archive: Petr Baudis
Invoice Processing Can Be Cheaper: The TCO of Invoice Data Capture (Part 1)
In this series, we focus on everyone's favorite subject: the cost. Because one way or another, the more business a company does, the more invoices its Accounts Payable will eventually…
New Player in Data Capture: UiPath Invoice AI
Last month, UiPath unveiled a new capability into public beta - the Receipt and Invoice AI. We have seen a lot of demand for Cognitive Data Capture solutions from RPA…
Automating Invoice Posting in Accounting Platforms with Dativery One-Click Integration
Typing over information from invoices is not a pain felt just by large enterprises and service centers. The same activity bogs down smaller companies, individuals and particularly accounting companies. The…
Discovering AI Solutions at BoxWorks
We recently had the pleasure of speaking about Rossum’s cognitive invoice data capture solution at BoxWorks 2018. We were in the company of many other brilliant minds who have developed…
Perspective: Rossum at BoxWorks 2018
Box.com is one of the main cloud content management providers in the enterprise market. Rossum has been working with Box as part of their initiative to bring together leading AI providers (including IBM…
Technology: Docker Compose in GitLab CI Pipelines
At Rossum, we use GitLab for development, including running CI (Continuous Integration) pipelines for our code testing. In this post, we delve into some tips and tricks to get this…
Why did we start Rossum?
Hear from Rossum's Co-founder and Chief AI Architect Petr Baudis about our motivation behind the Rossum technology.
The Future of Data Capture Systems (1/2): Imitating Human Behavior
Data capture for invoices ought to have been solved a long time ago! That's what most people think, especially if they’ve never tried to actually do it. That's what we…
Building Our Own Version of AlphaGo Zero
At Rossum, we are building artificial intelligence for understanding of documents. Our main line of attack lies in supervised machine learning, the most efficient approach to make neural networks achieve…