INNOVATION, SOFTWARE, FUTURE TECH Releases New Features for its Hybrid Natural Language Platform to Enhance NLP Workflow | February 08, 2023 | Read time : 03:00 min Releases New Features for its Hybrid Natural Language Platform

On February 7, 2023,, a company specializing in AI for language understanding, released new features for its Natural Language (NL) platform, aimed at enhancing its purpose-built NLP workflow support. With the new features,'s NL platform can find complex entities and their relationships, which helps it understand text better.

The new features include more options for on-premise deployment and taxonomy management, the ability to store core data with Kubernetes (K8s), APIs that can be used with visual documentation, and knowledge graphs (KGs) that can be used to quickly find related ideas and connections.

Chief Product Officer at, Luca Scagliarini, said, "Organizations increasingly recognize the value of hybrid natural language as they can get to market faster, supporting a broader range of use cases with improved efficiencies and enhanced accuracy." She further added, "Practical and useful AI is no longer about the future; it provides enterprises with value now." Furthermore, she added, "We continue to expand the platform capabilities to enable our customers and partners to create new processes, solutions, capabilities, and offers that grow their businesses and impact their bottom lines."

(Source - PRNewswire)

The hybrid NL platform, which combines machine learning and symbolic AI, is made to help organizations find the most value out of their unstructured data, create new business models, improve time to market, and optimize processes.

About is a leading company in AI-based natural language software that offers a purpose-built platform to analyze and understand complex documents. It combines symbolic and machine learning to turn language into data and enhance business operations across various industries, including insurance, banking and finance, publishing, media, and defense. The company serves global businesses with offices in Europe and North America, and offers a range of on-premise, private, and public cloud offerings to simplify AI adoption.


The future of AI is hybrid. As generative AI adoption grows at record-setting speeds1 and drives higher demand for compute,2 AI processing must be distributed between the cloud and devices for AI to scale and reach its full potential – just like traditional computing evolved from mainframes and thin clients to today’s mix of cloud and edge devices. A hybrid AI architecture distributes and coordinates AI workloads among cloud and edge devices, rather than processing in the cloud alone. The cloud and edge devices, such as smartphones, vehicles, PCs, and IoT devices, work together to deliver more powerful, efficient, and highly optimized AI.


The future of AI is hybrid. As generative AI adoption grows at record-setting speeds1 and drives higher demand for compute,2 AI processing must be distributed between the cloud and devices for AI to scale and reach its full potential – just like traditional computing evolved from mainframes and thin clients to today’s mix of cloud and edge devices. A hybrid AI architecture distributes and coordinates AI workloads among cloud and edge devices, rather than processing in the cloud alone. The cloud and edge devices, such as smartphones, vehicles, PCs, and IoT devices, work together to deliver more powerful, efficient, and highly optimized AI.

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