In collaboration with AstraZeneca, we developed a cutting-edge AI product designed to revolutionize Medical Affairs analytics. Our solution automates the analysis of CRM records for medical science liaisons, significantly enhancing efficiency in the Healthcare & Pharma sector. Additionally, we deployed advanced large language models to provide comprehensive overviews and actionable insights into large-scale Medical Affairs operations. This AI-driven approach empowers AstraZeneca to make data-driven decisions with greater speed and precision, optimizing both their commercial and operational strategies.

Our team partnered with xFusion Technologies to enhance their AI platform, xAQUA®, by developing a cutting-edge natural language query system. This RAG solution, created by us, integrates advanced LLMs to enable users to retrieve precise answers from vast document repositories, significantly boosting the platform’s flexibility and performance.

We partnered with Civitta, an international consulting firm, to develop a comprehensive AI product strategy and implementation plan for startups in their Challenger AI Accelerator program. Our focus was on establishing a competitive advantage through strategic AI deployment, helping startups prevent latecomer competition. We also designed a detailed system architecture for generative AI deployment, utilizing leading cloud platforms like AWS, Google Cloud Platform, Microsoft Azure, and RunPod to ensure scalable, secure, and efficient AI operations.

We collaborated with Dynamiq, a leading platform for Generative AI applications, to develop an advanced AI strategy that enhanced their product offerings, user engagement, and operational efficiency. Our approach included the design and development of custom generative AI models, fine-tuned using the client’s proprietary data. We focused on models like Llama 3 and Mistral, among others, to create a positive feedback loop that strengthened the platform's competitive advantage. This strategic implementation empowered Dynamiq to stay ahead in the rapidly evolving AI landscape by delivering superior, personalized AI-driven experiences to their users.

We partnered with Periodix, a sales enablement company, to develop a custom AI Sales Assistant Chatbot designed to enhance lead generation efforts. Our solution involved creating a Llama-2 conversational model, trained on the most successful sales conversations to mimic the behavior of marketing experts. This chatbot was tailored to meet the specific needs of individual accounts, ensuring personalized and effective interactions. We also implemented a flexible deployment model using Huggingface and LangChain, allowing for seamless model upgrades and easy swapping of AI models as technology evolves.

In collaboration with CX Design, we developed a comprehensive AI strategy for the retail products division of a large bank. Our approach focused on leveraging the bank's proprietary data to train custom AI models that offer a competitive advantage by being difficult for competitors to replicate. This AI strategy was designed to enhance the bank's product offerings and solidify its market position by utilizing advanced data-driven insights and cutting-edge AI technologies.