Hume AI, a leader in emotionally intelligent AI systems, utilizes Anthropic's Claude to power natural and empathetic voice conversations through their EVI platform. This integration enables Hume's clients in healthcare, customer service, and consumer applications to build trust with users by providing emotionally aware and responsive interactions.

Decagon, a company focused on automating customer support, uses OpenAI's suite of GPT models, including GPT-3.5 and GPT-4, to manage large volumes of support inquiries without human intervention. The models are configured for tasks such as query rewriting, complex decision-making, and API request processing, offering scalable, nuanced responses tailored to each customer's needs.

Roboflow uses Meta's Segment Anything Model (SAM) to enable users to automatically segment objects in images and videos, significantly reducing the time required to create training datasets for computer vision models.

CodeGPT, a popular coding assistant with over 1.4 million downloads, integrates Meta's Llama models to enhance developer productivity. By using Llama 3.2 (90B), CodeGPT helps developers not just generate code but also answer questions about their codebase, debug code, and onboard new team members. It includes a codebase graph mechanism that lets Llama understand entire repositories, allowing developers to effectively "talk" with their code. This integration leads to at least a 30% increase in productivity and accelerates onboarding from months to days.

Cove uses Anthropic's Claude models to create an AI thought partner within a visual workspace.

Headstart uses Anthropic’s Claude to drastically accelerate enterprise software development, reducing project timelines from months to weeks. Claude writes 90-97% of the code, allowing Headstart to focus on architecture and problem-solving.

Automat builds GPT-4o-powered RPA agents to automate processes with improved UI element recognition.

Addy AI is helping mortgage lenders and banks automate their lending processes with custom AI models trained on Vertex AI.

IPRally built a custom machine-learning platform that uses natural language processing on the text of more than 120 million global patent documents, creating an accurate, easily searchable database that adds more than 200,000 new sources a week.

Intelligencia AI is using AI models to research novel new drugs, relying on Google Cloud’s AI-optimized infrastructure to deliver scalable research that is accurate and transparent to meet the stringent needs of medicine.

Weights & Biases, a creator of AI tools for developers, created W&B Weave, a lightweight toolkit to track, evaluate, and debug gen AI applications built with Gemini, so teams can confidently go from demo to production.

Labelbox has built a fully managed AI model evaluation solution directly integrated into the Vertex AI platform, allowing Google Cloud users to seamlessly launch human evaluation jobs and set specific criteria for evaluation, such as question-answering and summarization.

Augment is building an AI personal assistant that offers enhanced note-taking and collects information across your apps, including calendar, email, texts, and social media, so users can more quickly and easily find personal information and keep their lives organized.

Fireflies.ai can transcribe, summarize, and analyze meetings, recordings, and other voice conversations to save time and improve collaboration and information sharing across teams.

2bots offers technology solutions, such as chatbots and virtual agents, built with Google Cloud’s AI solutions; these intelligent chatbots and content generation tools are transforming the way companies interact with their customers.

Personal AI offers a “personal language model” using only the data of one individual or brand and allowing them to control and own how it is used. Built on your own data, facts, and opinions, it creates a responsive and interactive messaging experience that helps people be more productive and deepen relationships.

Character.ai built its realistic conversational chat platform using the full stack of Google Cloud AI services, including for model training and daily operations.

Lex, an AI-powered writing platform, uses Claude to assist writers by providing real-time feedback, style improvements, and idea generation.

Ada uses GPT-4 to power a customer service automation platform, enhancing resolution rates by focusing on customer satisfaction.

NinjaTech AI harnesses Meta Llama 3 alongside AWS's Trainium & Inferentia2 chips and PyTorch to develop next-generation AI agents (Ninja LLMs).

NVIDIA leverages Meta's Llama 3.1 models and employs structured weight pruning and knowledge distillation to develop smaller, more efficient Llama-Minitron models.

Gamma uses Claude 3 Haiku to enhance its AI-powered presentation platform, improving the quality of presentations generated from complex inputs. Claude’s adaptable tone and cost-effectiveness led to a 30% increase in user satisfaction and a 20% rise in free-to-paid conversions.

Lazy AI uses Claude to lower the barrier to web development by automating complex tasks such as cloud deployment and code generation. Users can build full-stack web apps through conversational prompts, making software development accessible to those with limited coding experience. The platform has achieved a 51% reduction in code requiring multiple fixes, 73% success rate for first-attempt feature implementation, and 64% accuracy in generating syntactically correct JavaScript.

Sourcegraph uses Claude to streamline the processing of community feedback. Claude generates structured reports, condenses data, and simplifies competitor sentiment analysis, helping the product team quickly act on insights and improve responsiveness.

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.

Sarvam AI specializes in developing AI solutions for Indic languages. They developed a Hindi Large Language Model by extending Meta's Llama 2 in partnership with AI4bharat. The model aims to deliver GPT-3.5-like performance on Indic languages under compute and data constraints, achieving high performance on a frugal budget.

Perplexity uses various Claude models (Claude 3.5 Sonnet, Claude 3 Opus, Claude 3 Haiku) to optimize performance, cost, and accuracy for delivering factual and relevant answers in its conversational search engine. Claude models allow Perplexity to provide fast, accurate results with the ability to read dense research papers in under 3 seconds, benefiting both free and paid users.

Mistral AI will use Google Cloud's AI-optimized infrastructure to further test, build, and scale up its LLMs, all while benefiting from Google Cloud's security and privacy standards.

Anthropic has partnered with Google Cloud to offer its family of Claude 3 models on Vertex AI — providing organizations with more model options for intelligence, speed, cost-efficiency, and vision for enterprise use cases.

Essential AI, a developer of enterprise AI solutions, is using Google Cloud’s AI-optimized TPU v5p accelerator chips to train its own AI models.