Quantiphi Announces baioniq – an Unmatched Generative AI Platform to Revolutionize Enterprise Knowledge Work, Leveraging NVIDIA AI Foundations

baioniq, a powerful generative AI platform is designed to amplify enterprise productivity for high-impact knowledge work use cases

Quantiphi, an AI-first digital engineering company, announced the launch of ‘baioniq’, a powerful generative AI platform designed to amplify enterprise productivity for high-impact knowledge work use cases. The baioniq platform leverages the NVIDIA NeMo framework and language model customization service, part of the NVIDIA AI Foundations cloud services announced at NVIDIA GTC today.

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Studies have shown that up to 90% of enterprise data exists in unstructured formats, such as freeform texts, images, videos, etc. This presents a significant challenge for enterprises to access this data in a meaningful way. Generative AI and large language models (LLMs) have shown great promise in unlocking the value of unstructured data, making it instantly accessible and useful for enterprises. By applying this knowledge, enterprises can drive quantifiable improvements in business outcomes and increase productivity for their knowledge workers. According to IDC, by 2026, 85% of enterprises will combine human expertise with AI, ML, natural language processing (NLP), and pattern recognition to augment foresight, increasing worker productivity by 25%.

baioniq offers an unmatched enterprise-ready platform that is designed to help organizations quickly onboard generative AI capabilities and apply them to domain-specific tasks. The platform addresses present issues of LLMs, such as factual inconsistencies, lack of domain understanding, and misalignment with responsible AI principles, by:

• Performing domain adaptation of LLMs on their proprietary data to ensure that the generative responses are specific to their unique domains.
• Performing instruction fine-tuning on LLMs on a broad range of enterprise-specific tasks.
• Generating responses that are grounded in facts while maintaining referenceability to the source of truth.
• Adhering to responsible and ethical AI principles by continuously filtering out unwanted responses through reinforcement learning.

Essentially, baioniq enables enterprises to unlock the full potential of LLMs and generative AI to increase productivity and efficiency like never before.

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“As the marginal cost of intelligence goes down, the economics of generative AI become increasingly favorable for organizations seeking to unlock new sources of value,” said Asif Hasan, co-founder of Quantiphi. “With baioniq, we intend to put this capability into the hands of enterprises to enable meaningful improvements in knowledge worker productivity.”

“The productivity breakthroughs of generative AI become even more significant with customized models that are adapted for specific business use cases and domains,” said Kari Briski, vice president of AI Software at NVIDIA. “Quantiphi’s baioniq platform, with customization provided by the NeMo cloud service, enables enterprises to easily build and deploy language models to advance customer service, human resources, operations, and many other core business functions.”

The NVIDIA NeMo language service enables enterprises to build proprietary, domain-specific, generative AI applications for intelligent chat and customer support, professional content creation, and more. Developers can use and customize pre-trained NeMo models running on NVIDIA DGX Cloud to define areas of focus, add domain-specific knowledge, and teach it functional skills through simple application programming interfaces (APIs).

This collaboration with NVIDIA equips Quantiphi with the best-in-class tools and early access to NVIDIA AI Foundations cloud services, including NeMo, to build state-of-the-art generative AI solutions.

Quantiphi is an award-winning AI-first digital engineering company driven by the desire to reimagine and realize transformational opportunities at the heart of businesses. We are passionate about our customers and obsessed with problem-solving to make products smarter, customer experiences frictionless, processes autonomous and businesses safer.

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