DeepSee.ai Recognized for Conversational and Natural Language Tech

DeepSee.ai Pioneers Unstructured Data Management and Processing Solutions to Seamlessly Integrate Document Ingestion, Predictive Analytics and Process Automation

DeepSee.ai, a provider of AI-powered automation that solves line-of-business problems in Capital Markets and Insurance industries, announced today that it has been named a 2021 “Cool Vendor” by Gartner in the latest industry report on Conversational and Natural Language Technologies. The Gartner report recognizes just five companies for interesting, new, and innovative products and services.

DeepSee’s Knowledge Process Automation (KPA) platform combines the power of composite AI and natural language processing to automate and augment the most complex line-of-business problems. DeepSee’s software supports subject matter experts and data scientists by delivering a robust, no-code and fully customizable solution to mine, extract and leverage unstructured data for risk management and workflow automation.

“Process mining and automation only go so far. Business leaders need actionable business results as they adopt AI-powered tools to accelerate their organization’s digital transformation,” said Steve Shillingford, CEO at DeepSee. “Our solution greatly reduces time-to-value by meeting our customers where they are in their automation journey and providing big data answers with small data sets. DeepSee helps organizations drowning in data science projects deliver knowledge-driven business outcomes.”

Differentiated from simple text extraction solutions by its ability to ingest data of any kind, in any format, DeepSee’s KPA offering goes even further, combining state-of-the-art natural language processing and no-code organizational knowledge capture by subject-matter experts, to turn small and inaccessible data into transformative insights and forecasts, in real-time.

The report states that “The five Cool Vendors profiled in this report all show ability to combine different technologies and techniques, modalities, and people in order to deliver highly enterprise-capable NL solutions.”

“We bridge the gap between data science and enterprise outcomes,” Bryan Sparks, CTO of DeepSee said. “Our KPA platform does the heavy technical lifting traditional RPA can’t do and takes smart modules out of the ‘black box’ to enable our clients to streamline and solve their most complex business processes and problems.”

Sean Cunningham, Managing Director of ForgePoint Capital, DeepSee lead investor and Board of Director member, said, “FPC is proud to invest in transformative companies that uniquely deliver enterprise products that drive their digital landscape forward by solving top of mind problems. DeepSee’s ability to enable organizations in a tangible, scalable method to achieve business outcomes sets it apart from current industry AI-based solutions.”

“We’re thrilled to receive this acknowledgement from Gartner,” Shillingford said. “The interest and enthusiasm from our customers, prospects, and Gartner’s industry experts are great validators of DeepSee’s mission to deliver meaningful business outcomes for our customers.”

Previously, DeepSee was recognized in the 2020 Gartner “Emerging Technologies and Trends Impact Rader: Artificial Intelligence” report as a Sample Vendor in the Composite AI category.

Gartner disclaimer – Report attribution:

Cool Vendors in Conversational and Natural Language Technologies, By Anthony Mullen, Bern Elliot, Magnus Revang, Erick Brethenoux, Annette Jump, Published 19 May 2021

Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

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