< Back to the blog

Hyperscience Wins 2021 Artificial Intelligence Breakthrough Award

By: Hyperscience
Published: June 23, 2021

AI Breakthrough, a leading market intelligence organization that recognizes the top companies, technologies, and products in the global AI market, today announced Hyperscience was selected as the winner of “2021’s Best Handwriting Recognition Solution” in their fourth annual AI Breakthrough Awards program.

When faced with messy handwriting, crossed-out lines, or text outside a bounding box, legacy technology often fails, requiring manual reviews and corrections that prevent organizations from achieving peak efficiency. Hyperscience’s dedication to connecting humans and AI to solve tomorrow’s automation challenges is impressive and we are thrilled to congratulate Hyperscience for taking home a well-deserved 2021 AI Breakthrough Award win.

James Johnson, Managing Director, AI Breakthrough

The Hyperscience Platform is intelligent enough to remove template details, such as “First Name,” and only return the business-critical data (“Frank”), whereas rules-based technology does not—data keyers manually delete unwanted data before it’s used for further processing. The recognition technology was trained on separate models to handle each data type, avoiding ambiguity and edge cases like the system thinking something is a “5” versus an “S,” which is key to reliably transcribing handwritten text and achieving true process efficiencies. 

By applying a fundamentally different approach to automation, Hyperscience is helping some of the world’s most innovative enterprise organizations—spanning the government, banking and financial services, insurance and healthcare sectors—achieve the highest levels of data accuracy through our new class of automation software. Using deep learning techniques to develop a robust, proprietary data extraction engine, we’ve built and trained neural networks on real-world samples to successfully overcome document processing’s inherent nuances and complexities. The more data a model is exposed to, the more the network can learn and improve its accuracy, resulting in fewer errors and driving higher automation. In tandem, our built-in Quality Assurance (QA) mechanism runs in the background to drive performance improvements and establish the “Ground Truth”; when two parties reach a consensus, the data is used to train the solution and fine-tune the underlying models, improving performance over time. 

This year’s AI Breakthrough Awards attracted more than 2,850 nominations from over 17 different countries throughout the world, honoring excellence and recognizing innovation, hard work, and success across a range of AI and Machine Learning related categories, including: AI platforms, Deep Learning, Smart Robotics, Business Intelligence, Natural Language Processing, industry-specific AI applications and many more.

We are extremely proud to receive this recognition from AI Breakthrough and the award is a testament to the innovation and dedication of the entire Hyperscience team! 

Learn more about our automation platform’s capabilities.

Interested in joining our team? Find our open positions.