Salesforce Sample Apr 24, 2026 VentureCrowd VentureCrowd's early agentic and machine-learning work showed promise, but building custom agent infrastructure for a tightly regulated financial-services environment consumed scarce engineering time and made… 4x faster agent delivery Agentforce · Agentforce Builder · Agentforce Testing Center 
Mistral Sample Apr 24, 2026 Stellantis Stellantis wanted to improve customer interactions, speed product-development analysis, and streamline manufacturing operations, but those goals required faster interpretation of component data, anomaly signals, fleet… "Club Stellantis" virtual assistant · Bill of Materials Data Intelligence tool · Mistral LLMs Mistral Sample Apr 24, 2026 Snowflake Snowflake needed Cortex Analyst to generate highly accurate SQL against complex enterprise datasets while also explaining answers conversationally for non-technical users and detecting ambiguous questions before bad… 14% higher accuracy than other competing solutions Codestral · Cortex Analyst · Mistral Large Mistral Sample Apr 24, 2026 SAP SAP needed to reduce repetitive support demand, break down knowledge silos, and automate business processes for regulated, multilingual customers without sacrificing European data localization or trust in AI-generated… 100% European, locally hosted AI, maintained in SAP-operated infrastructure. Microsoft Teams · Mistral Large · SAP Build Work Zone Mistral Sample Apr 24, 2026 European Patent Office The European Patent Office needed a near-error-free way to transcribe millions of patent pages into ST36-compliant structured output, but standard OCR tools struggled with the formulas, tables, figures, multilingual… 400,000 pages/day throughput 1B OCR model · Markdown to HTML to ST36 XML pipeline · scalable, fault-tolerant application Mistral Sample Apr 24, 2026 DSO National Laboratories DSO needed sovereign, multilingual large language models it could train and deploy fully on premise for defense workloads, but it lacked at-scale operational experience with the mixture-of-experts architecture it… Forge Mistral Sample Apr 24, 2026 Cisco Cisco's Customer Experience team had to analyze more than 50 signals across structured and unstructured systems to prepare renewal proposals, but the manual process left too little time to build personalized,… Up to 20% time reduction (estimated) in creating renewal proposals and preparing for customer engagements. AI Renewals Agent · Cisco GPU cluster · Mistral LLMs Mistral Sample Apr 24, 2026 Capgemini Capgemini needed a coding assistant that developers on regulated client projects would actually adopt, but public-cloud AI services conflicted with sovereignty rules and earlier open-source assistants were too… 100% developer adoption rate across all client projects Codestral · RAISE for Private Software Engineering Mistral Sample Apr 24, 2026 Ardian Ardian needed to analyze large volumes of confidential due diligence material faster, but its teams were overwhelmed by scattered internal documents, NDA constraints, and traditional machine-learning approaches that did… 18,000+ documents since inception GAIA · Mistral models 
In-house Sample Apr 23, 2026 PayPal PayPal needed to give employees conversational access to company data at enterprise scale without requiring SQL, dashboards, or intermediary engineering teams, while still meeting strict security and compliance… answers in minutes instead of hours Looker · MCP 
NVIDIA Sample Apr 23, 2026 Biofy Hospitals needed pathogen identification and antibiotic-resistance analysis much faster than five-day culture and antibiogram workflows, but CPU-bound genomic processing and limited AI expertise made it hard to turn… 100,000+ synthetic DNA sequences generated by the biology model Abby · H100 Tensor Core GPUs · NVIDIA CUDA-accelerated libraries 
Databricks Sample Apr 23, 2026 Amagi Amagi supports 8,000+ streaming channels, 300+ distributors, and 26B annual ad impressions for 45% of the world's top media companies, but its legacy stack (Dataproc for batch, Snowflake for analytics, in-house… 15x faster time to market for new data products Databricks Genie · Databricks SQL · Databricks Serverless Compute Databricks Sample Apr 23, 2026 Elliptic Elliptic's clients—compliance teams at crypto exchanges, banks, payment providers, and institutional custody platforms—face rising alert volumes and stringent regulation, and analysts must document each decision by… 2x faster resolution of high-risk screenings Agent Bricks / Mosaic AI · Databricks Foundation Model APIs · Databricks Model Serving In-house Sample Apr 22, 2026 ABB ABB wanted to give employees a safe, responsible way to use generative AI in daily work so they could improve productivity, explore ideas more effectively, and support ongoing learning and career development. Abby supports more than 15 large language models (LLMs) Abby 
Google Cloud Sample Apr 22, 2026 Citi Wealth Citi Wealth wanted to reduce the friction of clients navigating apps, calls, and meetings by giving U.S. wealth clients real-time, personalized access to market insights, opportunity prompts, and advisor-supported… Gemini Enterprise Agent Platform · Gemini models · Gemini's Live API Google Cloud Sample Archived · Apr 22, 2026 PayPal PayPal wanted thousands of employees to query petabytes of governed finance data conversationally, but it had to avoid plaintext secrets, AI hallucinations, inconsistent metric definitions, and data-loss-prevention… Achieved near 100% accuracy in AI-generated insights BigQuery · Claude · Looker Google Cloud Sample Apr 22, 2026 Atlassian Atlassian needed to upgrade its Rovo agent platform so it could handle enterprise-grade scale and quality, because lenient tool schemas in the legacy model were allowing subtle errors and limiting confidence in… Boosted online agent task success rates to 80% with Gemini 3 Flash Gemini 3 Flash · Google Cloud 
Huawei Cloud Sample Archived · Apr 21, 2026 Chinalco Group Chinalco needed to apply AI across a dispersed nonferrous-metal value chain where complex process control, safety risks, fragmented data, and plant-specific deployments made traditional optimization and inspection… 18 production scenarios Aluminum Intelligence Cloud Scheduling · Green Aluminum Cloud Wisdom · Huawei Cloud Stack Huawei Cloud Sample Archived · Apr 20, 2026 Postal Savings Bank of China Postal Savings Bank of China needed a scalable AI infrastructure and unified model platform so it could automate customer service, trading, document review, and risk workflows without creating disconnected AI pilots… RFQ volume exceeded 1.5 trillion yuan AI computing and data center · Huawei Cloud Stack · Youzhi large model Google Cloud Sample Archived · Apr 19, 2026 HeyGen For businesses creating training materials or marketing content, this barrier can mean that valuable knowledge stays locked in documents nobody reads. Driven primarily by the rapid adoption of Video Agent, HeyGen has seen 10x growth in Google Cloud spend since… Gemini 2.5 · Lyria · Nano Banana Pro 
Snowflake Sample Archived · Apr 18, 2026 Fireblocks Fireblocks needed to query billions of rows across 15 data domains, unify customer and internal analytics, and expose digital-asset insights securely without relying on manual analyst workflows or risking data leakage. $10T transactions Cortex Agents · Snowflake · Streamlit 
PwC Sample Archived · Apr 17, 2026 Syracuse University Syracuse University needed to turn campus connectivity and occupancy data into actionable decisions about space utilization, operating costs, and student experience without defaulting to new construction or more manual… 10+ disparate data sources unified into a single model Copilot AI · IoT thermal sensors · Microsoft Azure 
DXC Sample Apr 16, 2026 UK Department of Health & Social Care DHSC needed to scale AI securely across a major public-sector organization so staff could analyze large volumes of health data, accelerate policy work, and support the UK's 10-year health plan without adding friction to… 4,000 users onboarded in just 3 months In-house Sample Apr 16, 2026 Bosch Bosch needed to reduce lengthy troubleshooting and documentation work after production-machine breakdowns so lines could restart faster without relying only on highly experienced specialists. annual savings of around €850,000 for each individual Bosch plant Shopfloor Agent