BigDataCorp, a data analytics and consulting firm from Brazil, uses Mistral AI models hosted on AWS Bedrock to enable client businesses to dive deeper into their data using natural language.

Cloudflare, a leading content delivery network provider, serves Mistral 7B through their Workers AI platform, allowing users to run AI models on Cloudflare's global network. Mistral offers low latency, high throughput, and impressive performance, generating tokens up to 4x faster than Llama due to Grouped-Query attention. This enhances Cloudflare's AI offerings, enabling developers to build and deploy AI applications more efficiently.

HuggingFace introduced HuggingChat and HuggingChat Assistants, platforms that allow users to try out different open-source models and create customized assistants with unique personalities. By default, both platforms are powered by Mistral 8x7B, providing users with powerful, high-quality experiences and contextually relevant responses. Mistral 8x7B is currently the most popular model used on HuggingChat, enhancing user engagement.

Lamini, an all-in-one LLM platform for enterprises to build open LLMs on proprietary data, uses Mistral-7B as one of the most popular open base models. Lamini enables Fortune 1000 customers across various industries to tune and deploy models in production efficiently, even on AMD GPUs with performance parity to NVIDIA GPUs. Mistral-7B's ease of use and high-quality results help customers move from proof-of-concept to production, deploying proprietary LLMs effectively.

Brave, an open-source privacy-focused web browser with an integrated AI assistant called Brave Leo, uses Mistral's 8x7B model as its primary model for both free and premium versions. Brave also leverages Mistral's capabilities for its CodeLLM feature, addressing programming-related queries in Brave Search. The exceptional performance and open-source nature of Mistral's models align with Brave's commitment to open models and the open-source community.

OctoAI launched a production-ready Mixtral endpoint days after the model's initial announcement. Mixtral on OctoAI quickly became the most popular model on the platform, with about 9 out of every 10 new OctoAI sign-ups choosing Mixtral. Companies like Latitude Games and Otherside AI use Mixtral on OctoAI to deliver engaging LLM-powered experiences, generating billions of tokens daily.

Front, an AI-powered customer service platform, integrates Mistral 7B via AWS Bedrock to summarize email threads. This automatically provides support agents with concise overviews of customer issues, reducing time spent reading long conversations and leading to faster response times and enhanced customer satisfaction. By streamlining support operations, Front enables its customers to handle more tickets efficiently without compromising quality.

CMA CGM, a global logistics company operating in over 160 countries, uses Mistral's AI models to power MAIA, their internal personal assistant. MAIA can chat about documents, perform translation and summarization, and integrate expert chatbots using RAG. High accuracy scores led CMA CGM to choose Mistral as their generative model of choice. MAIA has been deployed to thousands of employees, with plans to expand to all staff.

Gojob, a French HR-tech platform specializing in temporary worker staffing, uses Mistral AI to automate the candidate screening process. By integrating Mistral Large into their recruitment platform on Azure, they employ a GenAI recruiting assistant that conducts real-time conversations with potential candidates, facilitating pre-qualification and automating initial screening. This streamlines the hiring process, enhances productivity, and improves the efficiency of matching candidates with job opportunities.

BNP Paribas, the leading bank in the European Union, uses Mistral's AI models for Global Markets use cases, achieving very positive results. Due to this success, they plan to expand collaboration across the entire group in 2024, exploring a broader range of applications to enhance various business operations.

MongoDB extends Mistral's performance and efficiency from the model layer to the data layer by securely unifying application data, metadata, and vector embeddings in a single platform. Developers can create rich, real-time AI applications across various use cases, from conversational AI to complex reasoning, gaining a competitive edge by building with Mistral AI and MongoDB.

Qonto, a leading European business finance solution, integrated Mistral Large to automate responses to low-support customer requests. Handling over 30,000 chats per month, this significantly improved the efficiency and accuracy of customer support and fraud detection systems, enhancing quality of service and customer satisfaction.

Orange, France's largest telecommunications company, uses Mistral models to generate personalized promotional messages tailored to recipients' characteristics, enhancing sales activities. A tailor-made marketing campaign launched in 2023 significantly increased conversion rates. Due to its success, Orange will continue collaborating with Mistral AI in 2024.

Pretto, a leading online French mortgage broker, leverages Mistral AI models to analyze communications between brokers and borrowers. Brokers can access summaries of exchanges, better understand client needs, and monitor home-buying projects more effectively, improving productivity and customer experience.

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.

Mirakl, the world leader in SaaS marketplace management, integrated Mistral's models into their "Catalog Transformer" to automate product onboarding for sellers. Handling around 10 million new products monthly, this improved operational efficiency and maximized catalog performance, ensuring an optimal user experience.

Zalando, a leading European e-commerce platform, integrated Mistral AI models hosted on AWS Bedrock to enhance customer engagement and operational efficiency. This enables personalized recommendations, improved customer service, and streamlined operations, providing customers with seamless shopping experiences while improving operational efficiency.

Superinsight, a data analytics company, integrated Mistral AI on AWS Bedrock to enhance its data analytics capabilities. This provides clients with powerful tools to unlock the full potential of their data, delivering cutting-edge AI capabilities.

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.