NVIDIA Sample Sep 1, 2026 Harry Reid International Airport Harry Reid International Airport needed real-time visibility into queues and passenger flows, but a legacy lidar system and manual phone-driven monitoring could not provide actionable analytics across two terminals, 110… 500 existing security cameras NVIDIA CUDA · NVIDIA Dynamo · NVIDIA Metropolis NVIDIA Sample Sep 1, 2026 Onetera Onetera needed to help more than 90 municipalities turn fragmented regulations, zoning maps, permit rules, and legacy documents into fast resident-facing services without imposing heavy IT overhead or expensive manual… 1.7x increase in data throughput GPT OSS 20B · Government Intelligence Agent · LangGraph 
PwC Sample Aug 31, 2026 Seattle Mariners The Mariners wanted to grow fan engagement and ticket sales, but their marketing still relied on six broad segments, annual survey responses from about 50,000 fans, and disconnected CRM, ticketing, and engagement… 1.15 million fans tracked across disparate data sources Anthropic · Mariners Intelligence · Microsoft Azure 
MongoDB Sample Aug 31, 2026 LexisNexis Risk Solutions LexisNexis needed an AI retrieval architecture that could preserve relationships and time context across fast-changing financial and commodities data, because standard RAG could not produce reliable answers for… LexisNexis publishes 2,000 articles daily and tracks over 2,200 global commodities. MongoDB Atlas 
OpenAI Sample Aug 31, 2026 Polimill Polimill needed to reduce administrative burden across fragmented Japanese municipal systems so public employees could find prior decisions, prepare assembly responses, and deliver services without each municipality… 3-5x development speed increase from Codex and OpenAI hands-on support Codex · GPT models · OpenAI API 
Google Cloud Sample Modified · Aug 31, 2026 Predis.ai Securing research-grade GPUs required enduring long approval queues, forcing the lean engineering team to rely on consumer-grade hardware. Eliminates manual over-provisioning to reduce server budgets by up to 3x Batch inference · Cloud Billing · Cloud Monitoring Google Cloud Sample Modified · Aug 31, 2026 cynapse.ai When cynapse.ai was founded, its solutions needed to be deployed on-premises, but as customers, including large enterprises and government agencies, began requesting more flexible cloud-based options, the team had a… Cloud Load Balancing · Cloud Storage · Compute Engine 
Anthropic Sample Archived · Aug 30, 2026 Atlassian Atlassian wanted agents to do consequential work inside Jira, Confluence, and related products, but enterprise customers would only trust long-running automation if the models could follow complex instructions, use… 5 million+ agents executed in customer business workflows each month Claude Code · Claude Platform · Rovo Chat MongoDB Sample Archived · Aug 29, 2026 Document360 Document360 needed its Eddy AI assistant to answer multi-part documentation questions accurately without breaking access controls or adding a separate vector database to keep in sync. The unified architecture boosted baseline response accuracy to 94%, reduced user dislikes by 30%, and ensured… Atlas Search · MongoDB Atlas · MongoDB Vector Search on Atlas Google Cloud Sample Archived · Aug 29, 2026 PayPal After unifying its core data estate, PayPal needed an AI platform that could power global commerce use cases, let developers choose the best model for each workload, and elastically handle training and inference without… 25,000 pipelines every day BigQuery · Cloud GPUs · Gemini Enterprise Agent Platform Google Cloud Sample Archived · Aug 29, 2026 Bell Canada Bell needed to move beyond rigid support decision trees and fragmented agent tooling so it could resolve more customer inquiries autonomously while still personalizing interactions across chat, voice, and human-assisted… Handled 16M+ chat interactions, with over half resolved by AI Agent Assist · BigQuery · Gemini for customer experience Google Cloud Sample Archived · Aug 29, 2026 WeSpeak Building that product required infrastructure that would never go down. Early on, WeSpeak ran on a virtual private server that could fail without warning, taking the entire platform offline. For a hotel waiting on a… 70% of hotel guest inquiries automated end to end Cloud Run · Gemini · Gemini Flash Anthropic Sample Archived · Aug 29, 2026 Spellbook Spellbook needed to review, redline, and route very large volumes of contracts fast enough for lawyers and legal teams, while keeping issue spotting consistent and aligning recommendations with each team's preferred… 10x faster agreement turnaround time Claude Code · Claude Platform · Fable 5 Google Cloud Sample Archived · Aug 29, 2026 Demandbase Demandbase needed to automate B2B campaign execution, speed creative production, and give advertisers more direct access to performance insights without depending on slow manual handoffs to customer-success teams. Reduced Demandbase’s internal campaign load to 33% BigQuery · Gemini 2.5 · Gemini platform 
ServiceNow Sample Modified · Aug 28, 2026 KPMG UK KPMG UK needed to redesign internal IT support before renewing major managed-service contracts because routine incidents were interrupting consultants, support requests moved through multiple teams, and the firm lacked… 22 AI use cases delivered in 85 days AI Agents · IT Service Management · ServiceNow Impact ServiceNow Sample Modified · Aug 28, 2026 Southeastern Railway Southeastern Railway was processing Delay Repay claims, complaints, incident reports, and fraud checks across disconnected systems, which delayed compensation, forced temporary hiring during disruptions, and made trend… 70% of Delay Repay claims automated Customer Service Management · ServiceNow Otto · Virtual Agent Google Cloud Sample Modified · Aug 28, 2026 PvX Partners The PvX team needed a way to ingest and normalize the data into a single model while staying aligned with strict compliance standards from the Monetary Authority of Singapore (MAS). The platform also had to scale to… Committed $1B+ of financing to gaming and consumer app companies BigQuery · Cloud Run · Cloud SQL Anthropic Sample Archived · Aug 28, 2026 EvenUp EvenUp needed to turn huge, inconsistent personal-injury case files into accurate demands, summaries, and discovery documents fast enough for smaller firms to compete, without letting polished but incorrect reasoning… 300% increase in settlement offers Claude Code · Claude Enterprise · Claude Haiku 
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In-house Sample Aug 27, 2026 Lenovo Lenovo needed to handle customer support at very large scale across its global device support operation, where routine issues created cost and complexity and human-led resolutions costing $30 to $50 could delay simple… $30 to $50 Lenovo Intelligent Voice Agent · Lenovo Machines Fix Machines Agent · Lenovo Smart Repair Agent NVIDIA Sample Aug 27, 2026 Texas A&M University Texas A&M needed to give researchers across seven institutions access to shared GPU infrastructure for AI and simulation, but isolated workstations, slow grant-funded clusters, and long queues were limiting… $1M saved on a single project DDN high-performance storage · NVIDIA Base Command Manager · NVIDIA DGX SuperPOD ServiceNow Sample Modified · Aug 27, 2026 Hamburg Port Authority Hamburg Port Authority needed to make everyday service workflows genuinely useful to employees before it could scale platform adoption and add AI into port operations. 88% Increase in user engagement, month on month App Engine · Now Assist · Predictive Intelligence Anthropic Sample Archived · Aug 27, 2026 League League needed to accelerate product development and internal operations in a regulated healthcare environment, but prompt tuning, multi-agent experimentation, and back-office work still required manual effort and strict… 98% Claude adoption, up from 80% when League's company-wide rollout began Claude Code · Claude Design · Claude Enterprise