Lindy, a no-code platform for creating AI employees, selected Mistral as its first open-source model. This allows users to create specialized AI agents for tasks like executive assistance, customer support, and recruitment. According to CEO Flo Crivello, Mistral costs about 80% less than GPT-3.5, offering significant cost and speed advantages.

KPMG leveraged Meta's Llama to help the wholesale credit team at a major U.S. bank explore secure, open-source LLMs, enabling the client to review and interrogate complex loan applications more quickly and efficiently. This tailored GenAI solution improves the speed and accuracy of document review and processing, enhancing automation to the next level.

Synapse leverages Mistral's advanced models to generate personalized, evidence-based medical recommendations tailored to each patient's clinical context. This helps physicians make faster, more informed decisions, enhancing patient care and medical outcomes. Used by over 30% of French general practitioners and 300 hospitals, Synapse ensures accurate guidance is readily available.

Netlogic uses Microsoft Copilot for Sales to enhance its sales performance by automating meeting summaries, standardizing customer notes, and reducing notetaking discrepancies. This helps improve customer interactions, reduce sales cycles, and increase the closing rate. The use of Copilot also supports training for new employees and contributes to better work-life balance, resulting in a 25% increase in revenue within one quarter.

UKG uses Google Cloud's generative AI and large language models through Vertex AI to enhance its HCM suites, creating more conversational interactions, providing deeper business insights, and helping managers improve employee engagement and workplace culture.

Mathpresso's QANDA platform utilizes Meta's Llama 2 to create MathGPT, a math-specific large language model that enables highly personalized learning experiences. By leveraging open-source models, Mathpresso offers flexible, domain-specific educational products that democratize access to quality education, allowing learners worldwide to receive tailored math support.

Morgan Stanley uses GPT-4 to power an internal-facing chatbot that helps wealth management advisors quickly search and retrieve insights from a vast internal knowledge base. The AI assists in organizing and synthesizing hundreds of thousands of pages of investment strategies, market research, and analyst insights, drastically improving the efficiency of financial advisors. Over 200 employees use it daily, transforming how advisors access and use company knowledge.