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.

Copilot Studio is also being used inside Microsoft itself. Microsoft uses a custom Copilot within its HRWeb portal to manage employee queries. The AI deflects 60% of incoming questions, allowing employees to reclaim over 21,000 hours of productivity and reducing 27% of incoming service tickets.

Niantic, known for augmented reality games like Pokémon GO, uses Meta's Llama 2 to develop Peridot, a mobile AR game featuring virtual pets called "Dots." By integrating Llama 2, Dots exhibit dynamic and responsive behaviors, making interactions unique and enhancing user engagement. Additionally, Niantic employs computer vision with the Niantic Lightship ARDK to enable Dots to interact with the physical environment, creating a more immersive and lifelike gaming experience. This AI-driven approach accelerates development, reduces manual programming, and delivers personalized interactions, improving player satisfaction and engagement.

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.

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.

Amplitude's marketing and product teams use Perplexity to draft market landscape insights, accelerating research and improving the quality of strategic decisions.

Lambda uses Perplexity Enterprise Pro to streamline technical research and workflows across 15+ teams, including sales, content, and engineering. The AI provides reliable, cited information, helping users like technical writers, engineers, and sales reps accelerate documentation, sales outreach, and complex research tasks. This results in 475+ hours saved, faster task completion, and improved productivity.

Product teams at Zoom use Perplexity’s Focus functionality for targeted search.

Kinaxis and Dematic are building data-driven supply chains to address logistics use cases including scenario modeling, planning, operations management, and automation.

Workday is using natural language processing in Vertex Search and Conversation to make data insights more accessible for technical and non-technical users alike.

Replit developers will get access to Google Cloud infrastructure, services, and foundation models via Ghostwriter, Replit's software development AI, while Google Cloud and Workspace developers will get access to Replit’s collaborative code editing platform.

Box, Typeface, Glean, CitiBank, and Securiti AI discuss developing AI-powered apps across the enterprise, with measurable returns on investment for marketing, financial services, and HR use cases.

Box, Typeface, Glean, CitiBank, and Securiti AI discuss developing AI-powered apps across the enterprise, with measurable returns on investment for marketing, financial services, and HR use cases.

Box, Typeface, Glean, CitiBank, and Securiti AI discuss developing AI-powered apps across the enterprise, with measurable returns on investment for marketing, financial services, and HR use cases.

Symphony, the communications platform for the financial services industry, uses Vertex AI to help finance and trading teams collaborate across multiple asset classes.

Superhuman uses OpenAI's API to build AI-driven email features like Write with AI, Rewrite in Your Voice, and Instant Reply. These features help users manage email more efficiently, doubling their email processing speed and saving hours per week. The AI tools improve inbox management by auto-summarizing emails, drafting replies, and allowing speech-to-text composition, resulting in higher engagement and faster workflows.

ClearPoint integrated Meta's Llama 3 with Google's code scanner lint to perform an automated refactor of over 500 code files in a large Kotlin codebase. With less than 500 lines of automation code, they produced a migration that runs with a single build command without human intervention, saving an estimated 11 engineering weeks and improving efficiency without risking IP or vendor lock-in.

Tune AI is a fine-tuning and deployment platform assisting large enterprises. For an information services enterprise, Tune AI selected Meta's Llama 3 to index a massive 7B+ page digital library, reducing costs from $18 to $0.60 per document and processing time from 1 hour to 7 minutes, achieving a 99% accuracy rate, significantly enhancing efficiency and cost-effectiveness.

Salesforce integrates OpenAI's LLMs into its Einstein 1 Platform, enhancing applications like Sales Cloud, Service Cloud, and Commerce Cloud with generative AI capabilities. This allows employees to automate tasks such as account summaries, chat replies, and case summaries, while maintaining high security standards with the Einstein Trust Layer for data privacy.

GitLab integrates Claude for Work across departments to boost productivity, improve collaboration, and automate processes. The AI assists with RFP responses, content creation, data analysis, and internal tool development, resulting in 25-50% productivity gains. Claude's large context window and secure features enhance workflows while maintaining data privacy.

Wix uses OpenAI's GPT to power its AI Text Creator, allowing users to generate high-quality website content quickly and efficiently. This tool drastically reduces content creation time from hours to minutes, improving user engagement and conversion rates to premium subscriptions.

JetBrains integrates OpenAI's API into its AI Assistant product, enhancing developer productivity by providing intelligent code suggestions, writing tests, generating documentation, and refactoring code. This AI Assistant has become JetBrains' fastest-growing product, with 77% of developers reporting increased productivity and 55% finding more time for engaging tasks.

Retool uses GPT-4 to help businesses quickly build AI-powered applications for various business processes, such as inventory management, customer support, and custom product experiences. The platform provides pre-built AI actions like generating text and chatbots, making it easier for companies to integrate AI with secure data access and promote efficiency.

GitLab uses Claude to power AI-driven features across their DevSecOps platform. These include generative code generation, chat, and summarization tools. By integrating Claude, GitLab accelerates development while maintaining security and stability, ensuring privacy-first AI solutions across the software lifecycle.

Asana uses Claude 2.1's 200K token context window to power Asana Intelligence, enabling faster status updates and better insights for their customers, driving clarity and impact at scale. This helps organizations process large volumes of data with precision and transparency.

SAP is evaluating Anthropic's Claude 2.1 with a 200K token context window for tasks like document processing, sophisticated dialogue, creative content generation, and complex reasoning. These efforts aim to simplify day-to-day work for employees and enhance both internal operations and customer solutions.

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.