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Hyperscience Recognized as a Leader in GigaOm Radar for Intelligent Document Processing

October 28 2024

3 min read

By Zack Linky 

Hyperscience is excited to be named a Leader and Outperformer in the 2024 GigaOm Radar for Intelligent Document Processing (IDP). This recognition underscores our commitment to redefining the IDP landscape with a model-first approach that consistently delivers superior accuracy, flexibility, and scalability for enterprise document processing use cases and their associated downstream processes.

Why Hyperscience’s Model-First Approach Stands Out

In today’s digital economy, the ability to extract insights from complex, unstructured documents is critical for driving operational efficiency and competitive advantage. Hyperscience’s model-first strategy uniquely positions us to tackle these challenges by leveraging proprietary AI, machine learning (ML), and natural language processing (NLP) capabilities that extend beyond traditional Optical Character Recognition (OCR)-based solutions.

According to the GigaOm Radar report, IDP solutions must excel in handling a variety of documents, from structured to completely unstructured formats. Hyperscience’s Long Form Extraction and other advanced models are designed to process high volumes of dense, text-heavy documents—adapting to industry-specific needs with unprecedented accuracy and speed. Whether it’s legal contracts, healthcare records, or financial statements, our technology can extract mission-critical information that directly fuels downstream workflows. According to the report our, “AI-driven approach guarantees document processing accuracy in any type of document, structured or unstructured, including ones with handwritten text, by allowing clients to set their desired target accuracy and letting the built-in QA and reporting capabilities help the AI understand where to bring in users for help.”

Leading the Way in Key Features and Business Criteria

The GigaOm Radar recognizes Hyperscience, and the company’s IDP platform, the Hypercell, as not only a strong performer in technical features but also as the highest scorer among all vendors in Business Criteria, with an average score of 4.4 out of 5. Hyperscience achieved Exceptional ratings in Flexibility, Scalability, and Ease of Use, reinforcing our position as an enterprise-ready IDP platform capable of adapting to diverse workflows and scaling with business needs. Additionally, Hyperscience earned a Superior rating in Security & Compliance, showcasing our commitment to safeguarding sensitive data. Paired with high scores across IDP capabilities such as a Template-Free Approach and Human-in-the-Loop, Hyperscience offers a comprehensive solution that drives both technical excellence and business impact, making it the ideal choice for enterprises looking to elevate their document processing strategies. According to the report, “The Hyperscience Platform HITL interface enables humans to work collaboratively with machines via an intuitive, user-friendly interface, using human input to fine-tune the underlying models. It offers multiple OOTB field-level classifications for use cases specific to finance, healthcare, medical, and government verticals. It also provides a template-agnostic approach to semistructured and unstructured document processing.”

Flexibility to Scale with Enterprise Demands

The Hyperscience Hypercell  is purpose-built for enterprises operating at scale. From hybrid and cloud deployments to containerized solutions, our platform offers unmatched flexibility for handling diverse use cases and complex data workflows. With advanced AI/ML-driven document learning, customers can train models with as few as 100 sample documents, achieving high accuracy rates of 98-99% right from the start. This level of agility makes Hyperscience a preferred choice for large organizations looking to enhance efficiency, reduce costs, and optimize their end-to-end automation strategies. According to the report, “The solution offers AI/ML document learning features that include an ML-guided data labeling experience that reduces the amount of data that needs to be labeled to train a robust model by auto-suggesting optimal sample documents to annotate..”

Moving Beyond Document Extraction: Driving Strategic Impact

The report also highlights the Hypercell’s capability to support post-extraction tasks like data validation, enrichment, and augmented decision-making, enabling companies to maximize the value of their automation investments. Our IDP platform goes beyond data capture, empowering enterprises to make faster, more informed decisions by integrating AI across the entire document lifecycle. This capability not only accelerates workflows but also enhances compliance, security, and customer experience.

What’s Next for Intelligent Document Processing

As the demand for AI-driven process automation grows, Hyperscience remains committed to continuous innovation, delivering new capabilities that help enterprises unlock the full potential of their unstructured content. Whether through improved document accuracy, more intelligent workflows, or better integration with generative AI models, Hyperscience is dedicated to setting new standards in IDP technology.

To download the full report, click here.