AI case studies in {industry}






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AppFolio uses Anthropic's Claude 3 Haiku and Claude 3.5 Sonnet via Amazon Bedrock to power AI-assisted responses and task automation in their Realm-X platform. This helps property managers save time on routine communications with residents, owners, and vendors by providing AI-suggested responses and automating tasks.
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Esri integrated its ArcGIS platform with Microsoft Azure’s AI capabilities and NVIDIA GPU-accelerated computing to rapidly convert a massive dataset of geospatial images into a high-resolution 3D digital twin. The solution leveraged 200 GPU cloud nodes to perform reality mapping and flood simulation, drastically streamlining urban planning and emergency response workflows.
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Assembled, a support operations platform, uses Anthropic's Claude models to power Assist, their AI agent and copilot, enhancing customer support by integrating AI and human efforts. They employ Claude for dynamic ticket categorization, intelligent routing between AI and human agents, real-time response generation, and analyzing issues to automatically route cases to the optimal handler—whether AI agent or human with specific expertise.
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Built an AI-powered knowledge base on Azure leveraging AI search and the generative AI tool Ask Eddy to streamline online documentation and service delivery.
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CodeRabbit, an AI-powered code review platform, uses Anthropic's Claude to automate and enhance code review processes for development teams. By integrating Claude's advanced language capabilities, CodeRabbit provides real-time code reviews with contextual feedback, instant understanding of complex code changes, early error detection, and unified quality assurance, enabling teams to ship higher quality code faster while maintaining rigorous standards.
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Codeium, an AI coding platform, uses Anthropic's Claude to power their AI-native IDE, Windsurf, and their intelligent coding assistant, Cascade. By integrating Claude, they enhanced the reasoning and planning abilities of Cascade, allowing it to understand long sequences of development activity, maintain full context of coding sessions, and provide better assistance to developers. This resulted in a transformative AI coding experience with faster interactions and improved code understanding.
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Properstar integrated Microsoft Azure OpenAI Service to analyze unstructured property descriptions and extract important property features, enabling enriched data for listings. They combined this with Azure AI Search to build a dynamic filtering system that differentiates between mandatory and optional criteria, streamlining the property search process across global markets. The solution further supports robust market analysis and scalability.
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Otter, an AI Meeting Assistant, uses Claude from Anthropic to enhance its ability to summarize meetings, identify action items, and extract meaningful insights automatically. By leveraging Claude's 200k context window, Otter can process long meeting transcripts without constraints, transforming conversations into lasting organizational knowledge.
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Graphite, a modern end-to-end developer platform, uses Anthropic's Claude and Claude 3.5 Sonnet to power their AI code reviewer that catches bugs and suggests fixes, transforming how engineering teams approach software development. Their implementation combines Claude's reasoning capabilities with deep code review expertise, breaking complex code analysis into discrete steps and employing multiple validation layers to ensure high-quality comments.
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Picterra integrated Google Kubernetes Engine (GKE) and Google Earth Engine into its geospatial AI platform to efficiently process and model ultra-high resolution terrain data. They implemented scalable infrastructure on GKE to dynamically handle massive geospatial workloads, enabling rapid analysis of satellite imagery and digital terrain modelling. This streamlined climate change data analysis workflows across entire countries.
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KMS Lighthouse, a global technology company specializing in organizational knowledge management solutions, integrated Azure OpenAI Service into their platform to assist companies with content creation. The AI helps content authors be more efficient by generating summaries, automatic responses, enhancing content in knowledge articles, and producing FAQs and answers.
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Humach, a customer experience solutions provider, uses Claude via Amazon Bedrock to power AI-assisted agents and digital workers that streamline customer interactions across multiple channels. They developed a Custom Language Model framework integrated into their mAI Pilot platform, including digital voice agents, live agent assistance, sentiment analysis, and content classification.
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Parloa built an AI-powered customer service automation platform using Azure Cognitive Services and Azure OpenAI Service to provide human-like interactions across phone, chat, and messaging apps.
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Docusign developed the Intelligent Agreement Management (IAM) platform using Microsoft's Azure AI and Azure OpenAI Service to automate and enhance agreement management processes.
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Moveo.AI centralized its LLM training on Vertex AI by consolidating its multi-cloud approach, leveraging A3 VMs powered by NVIDIA H100 GPUs to fine-tune large language models tailored for customer experience. The implementation integrated Dynamic Workload Scheduler for auto-scaling and optimized resource management, streamlining secure and efficient virtual agent operations.
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StackBlitz integrated Claude 3.5 Sonnet into Bolt, their browser-based development platform, enabling users to create web applications via natural language without coding experience. This integration allowed rapid development and reduced costs by leveraging Claude's zero-shot code generation capabilities alongside WebContainers technology.
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StackBlitz integrated Claude 3.5 Sonnet into its browser-based development platform, Bolt, enabling users to develop sophisticated web applications with natural language inputs. This allowed both developers and non-developers to go from idea to production in one click, without needing coding experience or virtual machines.
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Asana integrates Claude into its Work Graph® data model to power AI-driven features that improve work coordination, goal setting, and workflow automation for over 150,000 global customers. Key features include automated workflows, status updates, smart insights, and summaries, allowing teams to focus on strategic tasks.
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Tabnine, an AI coding assistant, uses Claude 3.5 Sonnet for code explanations, suggestions, and code generation. Using Claude in Amazon Bedrock, Tabnine assists on common coding tasks like completions, debugging, test generation, refactoring, and code migration.
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Hebbia, an AI platform for knowledge work serving asset managers, investment banks, and law firms, leverages Claude's capabilities to analyze vast amounts of complex documents efficiently, generating actionable insights through features like meta-prompting and natural language interactions without requiring users to master prompt engineering.
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You.com uses Claude to provide comprehensive answers and automate complex tasks. They leverage Claude's advanced reasoning for features like the Research Agent for in-depth analysis, coding assistance for developers, and customizable AI agents for specific workflows.
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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.
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CDW Corporation, a technology solutions provider, rolled out Microsoft 365 Copilot to 10,000 employees to enhance productivity and gain firsthand experience with generative AI to better serve its clients. The company provided robust training resources via Microsoft Viva Learning and established a collaboration venue on Microsoft Viva Engage to support adoption.
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Replit uses Anthropic's Claude 3.5 Sonnet to enhance its Replit Agent product by developing a feature that evaluates apps as they are being built. By leveraging Claude's capabilities in computer use and UI navigation, Replit aims to automate the evaluation process, helping developers identify issues and improve their code more efficiently.
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Microsoft utilizes Copilot and the new autonomous agents internally across sales, customer support, marketing, and HR departments. Their sales team uses Copilot to power insights and automate routine tasks, achieving a 9.4% increase in revenue per seller and closed 20% more deals. Customer support resolves cases nearly 12% faster, marketing saw a 21.5% increase in conversion rates on Azure.com with a custom agent assisting buyers, and HR improved answer accuracy by 42% with an employee self-service agent.

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Zoom collaborates with Perplexity to enhance its AI Companion by integrating multiple AI models, including Anthropic, OpenAI, and Meta, to provide richer insights during Zoom calls. The AI Companion 2.0 understands user workflows and tracking tasks, in addition to meeting summaries.
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Notion uses Claude to improve its product, offering AI features like Q&A, autofill, and writing assistance. These features help businesses like Osaka Gas reduce search time by 35% and save Remote.com 10 minutes per search across 300 queries daily. Notion’s use of Claude even eliminates the need for additional AI tools for some companies like dbt Labs, who estimate they save over $35k annually.
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Decagon uses Anthropic's Claude to create AI agents that deliver hyper-personalized, 24/7 customer service by integrating with existing ticketing systems and customer databases, allowing enterprises to provide white-glove support at scale, handling inquiries from simple to complex processes that previously required human agents.
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Zoom uses Anthropic's Claude and Claude 3.5 Sonnet as part of their federated AI approach, enhancing their AI Companion. Claude powers features like meeting summaries, in-meeting questions, and meeting prep, helping users by generating automated recaps, highlighting key points, and transforming meeting content into actionable documents. This integration improves user engagement and satisfaction, enabling users to focus on tasks requiring human creativity and strategic thinking.
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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.
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