A second consecutive win for Hyperscience, this award recognizes the company’s new solution that transforms complex documents into LLM and RAG-ready data, accurately, automatically, and continuously

Hyperscience, a market leader in hyperautomation and a provider of enterprise AI infrastructure software, today announced that it has been awarded the prestigious Innovation Award from Deep Analysis for a second consecutive year. The award recognizes Hyperscience for Hypercell for GenAI – a groundbreaking solution that ushers the back office into the GenAI age, by fine-tuning LLMs with ground truth documents embedded at the core of the enterprise. Hypercell for GenAI provides a business-user ready interface for labeling and annotating unstructured enterprise content, empowering organizations to teach GenAI the language of their business and deliver compelling experiences for both employees and customers.

“Deep Analysis was the first analyst firm to identify unstructured data conversion for LLMs as a new, fast-growth opportunity for the IDP market,” the Deep Analysis Innovation profile highlights. “Already known as a leader in classic high-volume IDP use cases, this year Hyperscience launched its ambitious Hypercell for GenAI offering, an AI infrastructure platform to address that market demand. Hypercell for GenAI can convert streams of unstructured data at scale (think 1 billion documents) and with high accuracy (98%+) into data that's usable for LLM and RAG development and training. The platform also manages diverse document AI models and workflows for the entire enterprise. There are now AI models for all document types, including long-form documents such as contracts and research papers.”

GenAI stands out as one of the most significant technological revolutions of our era. While front-office applications have embraced GenAI for customer support, content generation, and more, the back office — including but not limited to operations, finance, administrative functions — has lagged in the adoption of GenAI applications. The slow uptake of GenAI in the back office stems from concerns about sensitive data, such as financial records and personal information, along with issues related to data security, compliance, and potential inaccuracies in critical operations. These challenges arise because the data feeding generic LLMs can be faulty, inaccurate, and incomplete.

Hyperscience has disrupted this paradigm with a novel approach built on AI at its core, empowering organizations to use their ground-truth data and proprietary information assets and data to train and ground LLMs. This enables enterprises to unlock the full potential of their data, ensuring that GenAI can support even the most nuanced and complex processes - transforming how organizations operate at every level.

Hyperscience is working with Google Cloud, Hewlett Packard Enterprise (HPE), and other partners on this solution, to give customers flexibility to operate in the infrastructure and AI development platform of their choice, and enable use cases such as prompt engineering, retrieval augmented generation (RAG), grounding, vector search, and model fine-tuning on customers’ proprietary enterprise data.

“The success of any AI initiative hinges on the quality of the data that feeds the models,” said Andrew Joiner, CEO of Hyperscience. “Often, models rely on faulty data and inefficient manual methods and legacy technologies struggle to keep pace with the dynamic flow of documents that pass through organizations every day. We’ve addressed this challenge head-on by enabling businesses to create an accurate data estate and train GenAI on the language of their business, delivering relevant GenAI experiences. This recognition by Deep Analysis for our ability to convert streams of unstructured data at scale and with high accuracy into data that is usable for LLM and RAG development and training, is a testament to our commitment to delivering exceptional value and driving transformative outcomes for our customers in the ever-evolving landscape of AI.”

Hyperscience continues to lead the charge in revolutionizing how businesses manage and utilize unstructured data, and this award reinforces the company’s position at the forefront of the Hyperautomation market.

For more information about Hyperscience and its innovative solutions, please click here.

About Hyperscience

Hyperscience is a market leader in hyperautomation and a provider of enterprise AI infrastructure software. The Hyperscience Hypercell platform unlocks the value of an organization’s back office data through the automation of end-to-end processes, and transforms complex documents into LLM and RAG-ready data to power new enterprise GenAI experiences. This enables organizations to transform manual, siloed processes into a strategic advantage, resulting in a faster path to decisions, actions, and revenue; positive and engaging customer, public, and patient experiences; and dramatic increases in productivity.

Leading organizations across the globe rely on Hyperscience to drive their hyperautomation initiatives, including American Express, Charles Schwab, HM Revenue and Customs, Mars, Stryker, The United States Social Security Administration, and The United States Veterans Affairs. The company is funded by top tier investors including Bessemer Venture Partners, Battery, FirstMark, Stripes, and Tiger Global.

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