overview

NVIDIA • September 9, 2024

Quantiphi Empowers Enterprise AI Transformation with NVIDIA NIM Agent Blueprints

Generative AI is reshaping industries, driving innovation, and redefining the competitive landscape. In 2023, enterprises were investing in building RAG pilots, and Quantiphi was at the epicenter of this wave, enabling our customers across industries — including telecommunications, healthcare, financial services, and more — with various solutions including LLM-powered agent assistants, personalized recommenders, and digital protocol writer for clinical trials.

For an American multinational coffeehouse chain, we built an advanced RAG-based digital ordering assistant leveraging NVIDIA NIM microservices and NVIDIA NeMo, part of the NVIDIA AI Enterprise software platform. We utilized prompt- and fine-tuned Llama 2-13B Chat, fine-tuned retrievers, and Vector DB, emphasizing the system design of RAG applications. To learn more, watch our session from NVIDIA GTC 2024 - Architecting Enterprise AI success with RAGs and LLMs: Lessons from the first 12 months of building Generative AI solutions.

Developers within enterprises have matured and have routinely started prompting and building with LLM APIs.  As these projects scale, the focus shifted to fine-tuning small language models such as Llama 3.1 8B, Mistral 7B, and Mixtral 8x7B, and building agentic workflows for better TCO.

We built an LLM agent-powered digital human for fraud correction assistance for a Canadian multinational financial services company, leveraging NeMo and NIM to improve case resolution and enhance operational efficiency. To learn more, watch our session from GTC 2024 - Navigating the World of LLM-based Agents.

According to recent surveys, approximately 42% of enterprise-scale organizations have actively deployed AI in their operations. Despite the growth, about 40% of enterprises remain in the exploration phase, hindered by challenges such as a lack of skilled personnel, data availability, and technological complexity

Today, Quantiphi announces its collaboration with NVIDIA to accelerate generative AI adoption for enterprises via its service offerings built on NVIDIA NIM Agent Blueprints. We are also launching our enterprise platform - Baioniq - integrated with NIM Agent Blueprints for multimodal RAG systems, agentic skills, and contract management.

Solution Workflows and Industry Applications

Using NVIDIA NIM Agent Blueprints, Quantiphi provides pre-built, customizable workflows that significantly reduce the time and resources required for development, making it an even stronger value proposition for pilot builds, where LLM API-based solutions were earlier the preferred choice. Quantiphi’s solutions built on NIM Agent Blueprints are designed with cost-efficiency and scalability in mind, to be deployed across various environments—including on premises, public cloud, or hybrid environments.

Some of our key GenAI offerings include:

Realistic Human-like Avatars Powered by RAG:

We have pioneered digital avatar workflows using NVIDIA Tokkio technologies and open source (OSS) LLMs for redefining customer interactions in retail and banking and financial services sectors, while consistently outperforming frontier models in total cost of ownership. With the digital human NIM Agent Blueprint, we can elevate this experience even further with human-like avatars. These state-of-the-art avatars, powered by fine-tuned NIM microservices for models such as Llama 3.1, NVIDIA ACE microservices, and NVIDIA Riva speech and AI translation software, seamlessly integrate with existing enterprise applications, enhancing operations and customer experiences with increased realism. Fine-tuned NIM deployments for digital avatar workflows have proven to be highly cost-effective by reducing enterprise spend on tokens by nearly 60%.

Multi-Modal RAG for Visual Q&A for Field Operators:

Using the multimodal PDF data extraction NIM Agent Blueprint, Quantiphi’s high-accuracy multi-modal RAG pipeline, designed for visual Q&A, is a game-changer for field technicians. Leveraging NIM and NeMo Retriever microservices, the solution is capable of parsing information available in technical drawings and graphs, thereby increasing the accuracy of the response and helping ensure that technicians have the exact information they need when they need it.

LLM-Agents for Banking IT Operations Management & RBAC Analysis:

We're advancing the capabilities of agentic co-pilots to revolutionize IT operations, such as RBAC security analysis, and fraud correction in banking. These intelligent co-pilots leverage LLM-based agents with NVIDIA NIM microservices to authenticate users, interface with external tools, and execute tasks autonomously, streamlining operations and enhancing security.

We are soon bringing more solutions across industry verticals, working with G2000 organizations and high-growth startups to transform their business

Banking, Financial Services and Insurance Healthcare and Life Sciences Telecommunications Retail
  • LLM-Powered Digital Human Assistant
  • Mortgage Servicing Fraud Corrections Financial Advisory
  • Claims Adjudication Agent
  • Automated Claims Triage Summarization & Reporting
  • Digital Protocol Writer to Accelerate Drug Discovery
  • Digital Health Agent for Patient Care and Support
  • LLM Agents for Network Operations Assistant
  • Multilingual Customer Service Agent
  • Digital Human-Powered Fashion Assistant
  • Multi-Modal Product Search and Discovery Agent

baioniq: Enterprise Generative AI Platform, powered by NVIDIA

Quantiphi’s generative AI platform, baioniq, harnesses NVIDIA NIM microservices and NVIDIA NeMo , empowering organizations to seamlessly adopt generative AI and accelerate the development of next-gen technologies. With baioniq, users can leverage large language models (LLMs) while maintaining control over their data, whether deployed on NVIDIA-Certified Systems or their preferred cloud service provider.

The platform accelerates workflows within secure enterprise environments for:

  • Content Generation
  • Contract Redlining
  • Document Summarization
  • Structured Data Analysis
  • Agentic Skills

By integrating NVIDIA NIM Agent Blueprints, baioniq will be able to transform unstructured and structured content into actionable insights, driving significant productivity improvements for knowledge workers across the business value chain.

Conclusion

As an Elite Partner in the NVIDIA Partner Network — named the Americas Service Delivery Partner of the Year for three consecutive years — Quantiphi has garnered significant expertise in fine-tuning OSS LLMs to optimize inference costs while running agentic workflows at scale, and a lot more.

If transforming your business with generative AI is a top priority, partner with Quantiphi to harness the power of AI-first innovation. Contact our experts, who are here to help you accelerate generative AI adoption, driving customized, scalable, and impactful AI solutions tailored to your business needs.

As you conclude your reading, we invite you to explore our insightful sessions on this topic.

EventSession TitleSpeaker
WebinarMaximizing Enterprise Business Outcomes Through Generative AI Asif Hasan (Co-Founder)
GTC 2024Architecting Enterprise AI success with RAGs and LLMs: Lessons from the first 12 months of building Generative AI solutionsSiddharth Kotwal (Global Head - NVIDIA Practice)
GTC 2024Navigating the World of LLM-based AgentsRavi Teja Konkimalla (Senior Solution Architect)
Sukrit Rao (Solution Architect)
PodcastQuantiphi's baioniq Podcast: Cutting-Edge Generative AI for Enterprise ProductivityKanishk Mehta (Product Leader - BAIONIQ)
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Siddharth Kotwal

Author

Siddharth Kotwal

Global Head of NVIDIA Practice, Quantiphi

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