Google Cloud Sample Modified · Jul 14, 2026 Bold Bold is an Argentine deep-tech startup building the agricultural financing AI infrastructure that turns Earth observations data into credit intelligence for financial institutions across Latin America. "With minimal information, we can infer everything we need and finish a credit analysis in 48 hours." Agent Platform · Apigee · BigQuery Google Cloud Sample Modified · Jul 13, 2026 UJJI AI Before the strategic partnership between UJJI AI and Google Cloud, the development of a single corporate training, especially for banks and financial entities, struggled with slow and linear production cycles, requiring… , guaranteeing 99.9% availability Cloud Run · Gemini · Gemini Enterprise 
Databricks Sample Jul 13, 2026 TruGreen TruGreen needed daily operational insight for branch managers because a legacy data warehouse made it slow and expensive to trace ERP changes, analyze branch performance, and operationalize machine learning. 50% lower Databricks Data + AI Platform · Databricks SQL · TruSight 
In-house Sample Est. · Jul 10, 2026 Aramco Aramco needs to turn extremely large and complex exploration, drilling, refining, logistics, and market datasets into faster, safer, and more reliable operational decisions while reducing uncertainty, downtime, and risk… five facilities recognized by the World Economic Forum as Lighthouse sites Dammam-7 · Ghawar-1 · Operations Co-Pilot 
IBM Sample Jul 10, 2026 Spark Compass Spark Compass wanted venues such as stadiums, airports, and entertainment sites to understand in-person customers as well as digital businesses do, but fragmented ticketing, loyalty, mobile, POS, and location systems… 21% increase in attendance IBM watsonx Orchestrate · IBM watsonx.ai · IBM watsonx.data 
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OpenAI Sample Jul 10, 2026 Deutsche Telekom Deutsche Telekom needed to redesign customer care, network operations, and employee workflows at telecom scale, rather than adding isolated AI tools to legacy processes. 50,000+ monthly active users of ChatGPT and API tooling AI-powered customer service · ChatGPT Enterprise · In-call assistants Databricks Sample Jul 10, 2026 Bupa Australia Bupa Australia needed a governed single source of truth because fragmented legacy platforms made it hard to join health, insurance, and customer data for analytics and personalization. 8x faster time to market Databricks Data + AI Platform · Genie · Unity Catalog Google Cloud Sample Modified · Jul 9, 2026 Emccamp Residencial Emccamp Residencial is a Brazilian real estate and construction company with 49 years of history, building homes across a full range of income levels, from affordable first-home developments to high-end properties. 33% efficiency gain in agentic workflow automation Cloud Run · Cloud Storage · Gemini Enterprise 
MongoDB Sample Jul 8, 2026 Mercor Mercor needed to replace a join-heavy recruiting architecture that made profiles slow to load and delayed newly interviewed candidates from appearing in search results for hours. Mercor reached a 100% fill rate on time-sensitive client requests as a direct result of this change. Apache Kafka · Fireworks AI · MongoDB Atlas Databricks Sample Jul 8, 2026 Eurowings Before unifying its data strategy, Eurowings faced significant challenges with siloed data across disparate systems. Technical barriers in vector storage also slowed development, as the team had to manually manage… By implementing semantic search powered by Databricks AI Search and Model Serving, Eurowings achieved a 109%… Agent Bricks · Databricks AI Search · MLflow Databricks Sample Jul 8, 2026 MiQ MiQ needed a better way to support agent-assisted media planning and campaign optimization because massive audience and campaign datasets were spread across separate tools, forcing planners to manually stitch together… Number of campaigns for more than 2,300 advertisers powered by Sigma (since launch) AI Search · Agent Bricks · Databricks Data + AI Platform NVIDIA Sample Jul 7, 2026 Public Ministry of Rio Grande do Sul (MPRS) MPRS needed to manage rising legal caseloads, archived police inquiries, and public-service requests more efficiently, but the volume of legal documents and the need for compliant, locally controlled analysis made… 497 municipalities Archiving Intelligence Assistant (AIA) · Citizen Access Agent · Justice Intelligence platform NVIDIA Sample Jul 7, 2026 Yotta Data Services Private Limited Yotta needed to deliver affordable, sovereign AI infrastructure inside India so startups and enterprises could build local-language models without depending on overseas compute platforms that lacked India-specific… 1.4 billion people NVIDIA AI Enterprise · NVIDIA Cloud Functions · NVIDIA H100 Tensor Core GPUs NVIDIA Sample Jul 7, 2026 French Ministry of Economy and Finance French public servants needed to answer citizen requests against more than 100 million documents per year while maintaining legal accuracy, security, confidentiality, and compliance, but manual retrieval and analysis of… 1,000 work hours saved per month for a typical 100-user deployment DeepBrain · NVIDIA AI Enterprise · NVIDIA DGX platform NVIDIA Sample Jul 7, 2026 Siam AI Corporation Co., Ltd. (Siam.AI Cloud) Thailand tourism information was fragmented across multiple websites, difficult to verify, often outdated, and hard for visitors to access across languages, creating poor experiences and inefficient support workflows. NVIDIA AI Enterprise · NVIDIA NIM · NVIDIA NeMo Google Cloud Sample Modified · Jul 7, 2026 Delivery Hero Delivery Hero needed a data platform that could ingest petabytes of Q-commerce data at scale, keep mission-critical cost calculations resilient, and stop senior engineers from spending time firefighting Spark… BigQuery · Managed Service for Apache Spark OpenAI Sample Jul 7, 2026 MUFG MUFG needed to modernize banking operations and customer experiences with AI while satisfying the governance, security, training, and trust requirements expected of a major financial institution. 100% training participation among employees receiving accounts AI bankers · ChatGPT Enterprise · MAP (Money Advisory Platform) Databricks Sample Jul 7, 2026 Bally's Bally's needed a better way to support omnichannel gaming personalization, compliant analytics, and faster market launches because legacy technology fragmented customer and operational data, which slowed… 10x serverless compute Databricks Data + AI Platform · Delta Lake · Lakeflow Jobs OpenAI Sample Jul 7, 2026 Australian Payments Plus AP+ needed a secure way for employees to move faster through complex payment, identity, and reconciliation work while preserving the governance, accuracy, and accountability demanded by a regulated payments environment. 1 day to build working simulations with Codex ChatGPT Enterprise · Codex 
AWS Sample Jul 6, 2026 World Rugby World Rugby wanted to make the Women’s Rugby World Cup 2025 more engaging by unlocking and activating complex match data in real time so broadcasters, commentators, and digital channels could give fans richer insights… 1,521 insights that were used across 147 million viewing hours Amazon Bedrock · Opta match data · TryZone IQ In-house Sample Jul 3, 2026 75th U.S. Army Reserve Innovation Command The 75th U.S. Army Reserve Innovation Command wanted to modernize administrative and planning work and give military police teams better ways to collect and analyze checkpoint footage and other surveillance, while… 15 highly motivated individuals MP Sentinel-Video RAG · Soldier Passport system · TA-50 computer vision application