Fulcrum Digital has launched Ryze, a Generative AI platform, during its annual event, Tandem. Rajesh Sinha, Founder and Chairman of Fulcrum Digital, presented Ryze as a mature GenAI platform aimed at transforming content generation and data processing.
The platform integrates generative models, data analytics, user interaction, and customisation, offering tailored content and data solutions for various industries. Backed by the FulcrumOne digital accelerator, Ryze ensures scalability to meet evolving customer needs.
Positioned as a Software as a Service (SaaS) solution, Ryze enables businesses to enhance content generation for both textual and visual mediums. It features configurable components for LLMs, allowing the accommodation of preferred models like OpenAI’s GPT 4, Llama2, SQL Coder, and GenZ. The platform also facilitates seamless integration of customisable applications and boasts intelligent enterprise assistant capabilities.
Ryze’s launch was accompanied by insights from Sinha, who expressed its importance in Fulcrum Digital’s global mission to harness AI’s transformative potential. He emphasised Ryze’s utilisation of enterprise data, covering text, image, audio, video, and 3D formats from various channels. Sinha highlighted features such as data synthesis, sentiment analysis, and the provision for downloading synthesised data for further analysis and utilisation.
Sachin Panicker, Chief AI Officer at Fulcrum Digital, shared his optimism about Ryze’s potential to catalyse innovation and disruption in the digital age. He outlined key features like conversational interaction, capable comprehension, core business process agents, coding assistance, and sentiment analysis, focusing on empowering businesses with efficient and insightful solutions.
The platform’s use cases across sectors include streamlining claims processing in insurance and automating inventory management in retail. Ryze’s capabilities extend to digitising claims, providing conversational AI for more satisfying customer interactions, and enhancing fraud detection through real-time monitoring and predictive analytics.
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