Work in our research lab
If you are interested in cutting-edge machine learning research, check out our open positions
Infrrd’s research is aimed at bridging the cognitive gap between machines and humans. With over 10 patents and several cutting-edge features, our research powers a human-like understanding of documents. Proprietary extraction algorithms are built like no other delivering the industry's highest document accuracy ever. Our research lab is currently working on optimizing LLMs for document intelligence and innovating ahead.
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Infrrd’s research was recognized at SemEval, an annual international vocabulary, and semantic competition spanning a series of tests which measure computer understanding of human language. This year’s task consisted of a natural language processing (NLP) task that pushed the limits of named entity recognition for a given set of multilingual data.
Infrrd’s Research Lab won the Natural Language for Optimization (NL4Opt) 2022 competition at an annual workshop hosted by Neural Information Processing Systems that fosters the exchange of research advances in Artificial Intelligence and Machine Learning.In this year’s competition, Natural Language Processing (NLP) research teams across the world were tasked with investigating the best methods to automate the conversion of text descriptions into proper formulations for optimization solvers.
We price based on the annual volume of pages and complexity of document type. We can get you preliminary pricing once we outlined a solution. Let's do this.
Sure. The first step is to schedule a guided demo where you get to jump into the thick of it. After you explore our solution you can try a proof of concept. When you're ready, you can deploy the system to one use case. Then more use cases. Then across your enterprise.
We play nice. Our solutions are API-based. Your documents are feed into the solution using APIs. And extracted data is sent out through APIs. We use REST APIs.
Our solution is cloud-native but is also design for premise deployments. Your choice on how you want to deploy it.
Glad you asked. Our data extraction process runs on servers. We have found performance and accuracy decline when running on a desktop or mobile device. (Remember Infrrd is running a powerful AI stack).
Common documents and use cases work out of the box. The cool thing is your solution will improve as the system learns from your documents upfront and over time.
Did you know no system is 100% accurate all the time? When extraction errors occur you want to correct them. We provide a simple UI that your business analyst will use to make corrections.
Our solution excels at data extraction from handwriting. We've got proprietary methods and techniques that do the trick. It's pretty cool. See for yourself.
If you are interested in cutting-edge machine learning research, check out our open positions
