Materiom, a startup researching zero-waste, bio-based alternatives to fossil-fuel-made products like plastics, is creating a gen AI tool that enables entrepreneurs to develop novel compostable materials with broad applications.

180 Seguros is powering its data management platform for employees with Google Cloud AI and BigQuery.

Lowe's fine-tunes OpenAI's GPT-3.5 to improve the accuracy of product descriptions and tagging on Lowes.com. By enhancing product data quality, the company reduces human error and associates' workloads, while increasing search result accuracy by 20% and improving product error detection by 60%. This initiative drives a smoother customer experience and boosts ecommerce performance.

CopyAI leverages Meta Llama on Lamini’s LLM platform to accelerate content generation for go-to-market efforts. By fine-tuning a high-precision classifier based on Llama, CopyAI automates content categorization for a Fortune 100 client.

Scribd, a digital document library, uses Claude from Anthropic to automatically generate high-quality metadata for over 100 million user-uploaded documents across its platforms Scribd and SlideShare.

Saama's AI Research Lab has developed Llama3-OpenBioLLM-70B & 8B, the most openly available medical-domain LLMs to date.

LyRise, a recruitment platform connecting companies with AI experts from the Middle East and North Africa, uses Meta's Llama 2 and 3 to implement AI-driven candidate matching. By utilizing Llama's text summarization and RAG capabilities to condense job descriptions and resumes, LyRise reduces time-to-hire by 50%, while ensuring quality talent acquisition.

Rakuten uses OpenAI’s models to leverage its vast data assets for improving customer service, extracting value from unstructured data, and enhancing B2B consulting. By implementing RAG (retrieval-augmented generation), they drastically improve response times for customer service, develop shopping review summarization features, and empower merchants with actionable insights.

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.

Steno uses Claude 3 Opus to power its Transcript Genius platform, enabling attorneys to quickly search, analyze, and extract critical insights from vast legal transcripts. This AI-driven solution centralizes transcript storage and uses a 200K context window to handle long documents, saving attorneys significant time in deposition preparation.

SAIF CHECK, a company based in Riyadh, Saudi Arabia, uses Meta's Llama 3 to develop a model evaluation system that assesses AI models for compliance with legal, regulatory, privacy, and data security standards. Utilizing a Retrieval Augmented Generation (RAG) framework, the system scans and integrates global regulatory environments into a comprehensive knowledge base, enabling conversational and context-aware evaluations for both technical and non-technical users. This enhances trust in AI models, streamlines the auditing and certification process, and ensures businesses in the Middle East and North Africa can deploy AI solutions confidently and compliantly.

BlueOcean, a brand intelligence platform, used Anthropic's Claude 3 models (Haiku and Opus) via Amazon Bedrock to consolidate four separate API calls into a single, more efficient one, resulting in over 50% cost reduction.

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.

BenevolentAI, a UK-based TechBio company, leverages Claude to speed up data generation and annotation by orders of magnitude, while maintaining high-quality results. This supports the company's efforts in drug discovery and research, significantly enhancing their data processing capabilities.

Mendel has developed Hypercube, an AI platform that integrates Meta Llama 2-based LLM for natural language processing on clinical data. Hypercube uses a hypergraph semantic layer and the proprietary Eloquent language to enable querying and retrieving clinical information for applications like trial matching and patient cohorting. Llama 2 assists in converting natural language queries into Eloquent, bridging the gap for users unfamiliar with the query language.

Mayo Clinic uses Meta's Llama 2 to develop RadOnc-GPT, a specialized large language model for radiation oncology. RadOnc-GPT is fine-tuned on patient records and deployed locally to ensure data security. It supports a chatbot that answers routine post-radiotherapy questions, reducing nurses’ and clinicians’ workloads and improving treatment decision-making speed, accuracy, and quality. Future developments include predicting patient outcomes and expanding clinical tasks, enhancing operational efficiency and patient care.

Aive, an AI platform for video post-production, leverages Meta's Llama 3 to automate video summarization and smart clipping. By analyzing long-form content, Aive creates concise, engaging video formats optimized for platforms like Facebook and Instagram. This integration helps brands like LVMH, L'Oréal, and Stellantis streamline video workflows, reduce costs, and maximize content impact across channels within a secure and scalable AI environment.

Meditron, a suite of open-source large multimodal foundation models tailored for the medical field, leverages Meta's Llama 2 and 3 to assist with clinical decision-making and diagnosis in low-resource settings. Developed by researchers at EPFL and Yale School of Medicine in collaboration with humanitarian organizations like the International Committee of the Red Cross, Meditron provides evidence-based, contextually aware recommendations and diagnostic support. It automates tasks such as generating treatment regimens, determining radiation modalities, and assigning diagnostic codes, thereby enhancing clinical efficiency and improving patient outcomes. With over 30,000 downloads and top performance on medical benchmarks, Meditron democratizes access to advanced medical AI tools, enabling equitable healthcare innovation in underserved regions.

Fortune partnered with Accenture to develop Fortune Analytics, an AI-powered tool designed to analyze over 20 years of Fortune 500 and Global 500 financial data and related articles. This tool allows users to generate visualizations and receive ChatGPT-style responses, making data-driven insights more accessible. The platform is set to launch in beta on June 4, 2024, and aims to enhance enterprise decision-making by providing easy access to financial data and journalism archives.

Paradigm uses OpenAI’s GPT-4 API to evaluate clinical trial data sets, significantly improving the speed, accuracy, and cost of patient screening. By replacing traditional models with GPT-4, Paradigm achieved a 90% reduction in clinician time spent on model validation and a 10% increase in accuracy. This allows faster, more equitable access to clinical trials, especially for underserved patients with unstructured medical data.

NOAA and USAID are among the U.S. government agencies using Google Cloud AI to unlock critical data insights to streamline operations and improve mission outcomes — all with an emphasis on responsible AI.

NOAA and USAID are among the U.S. government agencies using Google Cloud AI to unlock critical data insights to streamline operations and improve mission outcomes — all with an emphasis on responsible AI.

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

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

Spotify leveraged Dataflow for large-scale generation of ML podcast previews, and they plan to keep pushing the boundaries of what’s possible with data engineering and data science to build better experiences for their customers and creators.

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.

Cox 2M, the commercial IoT division of Cox Communications, is able to make smarter, faster business decisions using AI-powered analytics.

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.