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Elevate your Generative AI Solution with Reasoning

Reasoning allows AI systems to analyze information, draw conclusions, and make decisions based on logical inference and evidence. It involves understanding relationships between different pieces of data, identifying patterns, and using logical rules to reach conclusions or solve problems.

At Lynx Analytics, we combine reasoning with Large Language Models (LLMs) to significantly enhance the capabilities of Generative AI solutions. LLMs excel at understanding and generating natural language text. By integrating reasoning capabilities into LLMs, we give them the ability to not only generate text but also to reason about it. This integration enables our AI systems to understand context, infer relationships, and generate responses that are more coherent and contextually appropriate.

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Using Graph AI to Enhance Reasoning Capabilities

Graph AI excels in mapping out complex relationships within networks, utilizing nodes and edges to represent and predict intricate dynamics. By integrating Graph AI with machine learning, we significantly improve our reasoning solutions, offering clearer and more impactful analyses. Our unique approach marries machine learning, Graph AI, and large language models to not only uncover but also forecast and elucidate the evolving dynamics in networks like medical knowledge graphs or key opinion leader networks. This ensures our AI systems are adept at reasoning, providing insights, and suggesting informed next steps.

 

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Our Clients

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Problem Solving Across Industries

Life Sciences

Learn how you can leverage big data and AI to improve your medical and commercial results with our solutions for the life sciences and healthcare vertical.

Telecoms

Predict customer data, manage churn, plan and optimize your network and drive engagement to your app with our solutions.

Retail

Leverage on our retail solutions for assortment optimization, demand forecasting, gaining deep customer insights and more.

Banking

Increase customer acquisition and customer retention across online and offline channels with our banking solutions.

Our Technology Partners

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Highlights

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Meeting of the minds at ATxInspire

Jensen Huang, CEO of NVIDIA, was discussing with Gyorgy Lajtai, CEO of Lynx Analytics, about the barrier that exists between “Fast Thinking” and Reasoning (aka “Slow Thinking”). A barrier Lynx Analytics is directly addressing and that Jensen considers to be the next breakthrough in AI.

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Transforming Reasoning: Highlights from Our NVIDIA GTC 2024 Presentation

Daniel Darabos, our Chief Software Architect, showcased how merging Graph Neural Networks with transformers opens new frontiers in reasoning tasks. The enthusiastic audience and lively Q&A session highlighted the significance of this groundbreaking work in AI innovation. We're eager to collaborate further with NVIDIA to push this breakthrough to new heights!

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Graph RAG: Accelerating Enterprise Success – Highlights from NVIDIA GTC 2024

Our Graph RAG, named a top 10 developer solution by NVIDIA, received a warm reception from their global sales team. Since deployment at HKT in August 2023, it's boosted operational efficiency and customer satisfaction, earning praise from Chung Ng, SVP at HKT. Grateful for the chance to showcase our impact and kudos to presenter Marton Szel!

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Pure reasoning with Graph AI

Join our Chief Software Architect, Daniel Darabos, at NVIDIA GTC in San Jose where he will be discussing how to combine graph neural networks with transformers and symbolic systems and walk through some implementations, improvements, and benchmarking we have recently done over NVIDIA’s LeanDojo ReProver model.

Knowledge Center

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Join the Lynx Analytics Team

Be part of something extraordinary! Collaborate with some of the world’s largest companies as we continually expand our knowledge base and global presence. We're on the lookout for ambitious, innovative, empathetic, and relentless team players. Explore exciting career opportunities with us as we scale our operations and redefine the future of AI together.