Trace One implemented AI by integrating Google Vertex AI to automatically extract information from technical sheets and regulatory documents, map data between diverse systems, and compare texts and images for packaging compliance. The solution was developed following a successful proof-of-concept and then scaled into production using Google Cloud’s managed services, simplifying system integration and reducing operational complexity. This deployment streamlined their PLM and compliance update processes, minimizing manual intervention and optimizing accuracy.

BlueFlame uses Claude to give small investment teams enterprise-grade analytical capabilities, enabling them to analyze vast document sets and uncover insights at institutional scale without needing in-house technical expertise.

BMW Group, in collaboration with SORDI.ai and Monkeyway, deployed a generative AI system that scans a wide range of industrial assets and uses Vertex AI to produce detailed 3D digital twins. This automated solution replaces the slow, manual asset mapping process, enabling rapid simulation of multiple industrial scenarios to optimize planning and supply chain efficiency.

Inscribe uses Claude to power AI Risk Agents that automate fraud detection, document verification, and risk analysis for banks and fintechs.

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.

Virtual Dental Care (VDC), a teledentistry provider, developed an AI application called Smart Scan using Azure Machine Learning. Smart Scan analyzes dental photos and x-rays to detect common dental issues, such as decay and gum inflammation. Built in the Azure ecosystem, it easily scales for large group screenings, reducing administrative paperwork by 75% in a school study and allowing dentists to focus more on patient care.

Ospedale San Raffaele developed a cloud-based platform powered by AI and Machine Learning to transform clinical research and precision medicine. Predictive models and generative AI tools help analyze complex data, improve decision-making, automate low-value activities, focusing on research, diagnosis, and treatment.

iGenius collaborated with Microsoft to enhance Crystal, their decision intelligence platform, integrating advanced language models for conversational AI. The collaboration includes adding Crystal to Microsoft Marketplace and joint go-to-market initiatives, increasing visibility and market positioning.

Untukmu.AI, an online gifting site in Indonesia, uses Meta's Llama 3.1 8B model with split inference processing to protect customer privacy. By running part of the AI model on customers' devices and the rest on their servers, they deliver personalized gift recommendations without accessing or storing personal data. This ensures customer privacy while still providing high-quality, tailored suggestions, enhancing trust and satisfaction.

The European Parliament launched Archibot, an AI-powered tool built with Claude in Amazon Bedrock, to enhance access to their archives. Archibot allows users to search and understand millions of documents, reducing search time by 80% and improving user satisfaction by 58%. The tool processes 10 times more queries monthly, offering multilingual support and retrieval-augmented generation (RAG) to help researchers and policymakers analyze legislative documents and create reports efficiently.

Universidad de los Andes, in collaboration with Instituto Alexander von Humboldt, Instituto Sinchi, IDEAM, and Microsoft AI for Good Lab, created Project Guacamaya, an AI-powered tool using satellite imagery, camera traps, and bioacoustics to detect deforestation and biodiversity shifts, aiding conservation efforts in the Amazon rainforest.

SURA employs AI for genomic sequencing processing and clinical and genetic data analysis as part of their Omics Sciences Center. The AI-powered platform has significantly improved diagnostics, personalized treatment, and scientific research by generating more than 11,500 reports related to hereditary cancer panels and exomes.

Plenitude harnessed Google Cloud’s OCR and PaLM models alongside Document AI to automatically extract data from energy bills and verify customer IDs. They implemented a cloud-based workflow using Vertex AI Platform to integrate with its registration systems and automate identity checks, effectively streamlining customer onboarding and fraud prevention processes.

Flora Food Group deployed Microsoft Fabric to consolidate multiple analytics tools into a single, unified platform, streamlining data management, reporting, and analytics under one architecture.

Snowdrop revamped its merchant reconciliation process by migrating its MRS API to Google Cloud to drive global scalability and cost efficiency. They integrated BigQuery with Vertex AI to automate manual background research for enriching transactional data, using hyper-localized merchant information from the Places API to verify and match transactions. Cloud Service Mesh and Google Kubernetes Engine streamlined deployment across regions, transforming onboarding and data processing workflows.

MetaLearner uses Meta's Llama 3.1 to make ERP systems like SAP and Oracle easier to work with.

DSB deployed Microsoft 365 Copilot with centralized data in a unified data lake to develop AI-powered use cases for graffiti detection and safety monitoring, supported by partner networks and employee training.

LexisNexis uses Claude via Amazon Bedrock for processing detailed legal documents that require high-quality technical analysis and long context windows.

Mania de Churrasco! centralized its data using Microsoft Azure, Power Platform, and Microsoft 365, improving operational efficiency. The company integrated sales, employee, and self-service data, leading to better decision-making. They are now leveraging OpenAI's models on Microsoft Azure Service for predictive models and AI integration.

Project Guacamaya integrates daily satellite imagery from Planet Labs with Amazon-specific AI models to monitor deforestation in the rainforest. It employs a custom multimodal audio language model (CLAP) for bioacoustic analysis and open-source image models developed using the Pytorch Wildlife framework to rapidly identify deforestation patterns and animal species. This integrated solution supports government agencies and research institutions by streamlining environmental monitoring and enabling prompt conservation actions.

CME Group is building a first-of-its-kind cloud-based commodities trading platform with AI tools built-in, offering CME’s trading customers access to deeper insights and smarter trades as well as rapid experimentation on new trading strategies that won’t interrupt existing trade flows.

NotCo, a Chilean food tech company, partnered with Eleven Solutions to develop a conversational AI chatbot powered by Gemini.

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

Fullstory, a digital behavioral data platform, is building the ability to analyze and summarize user behavior on a site to create more informed and enriching chatbot experiences.

Full Fact, a UK-based fact-checking organization, uses gen AI to monitor stories for misinformation.

Mendel has built a clinical AI system designed to consolidate the longstanding silos in medical data into a knowledge base of holistic patient journeys, boosting patient recruitment for new therapies and clinical trials.

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.

NeuroPace, a medical device company, built a solution to quickly identify effective epilepsy treatment options best suited to different patients.

Ipsos used Gemini 1.5 Pro and Flash to create an internal tool that allows market researchers to pull real-world data from Google Search for analysis.

Bayer Crop Science has developed Climate FieldView, a comprehensive agricultural platform with more than 250 layers of data and billions of data points.