Solution partner
Anthropic powers 7 source-linked AI deployments documented in AIUseCaseHub, across 6 industries and 5 countries. Documented deployments include AI agents, RAG.
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7 of 7 cases classified (100%) · Compare all use-case types
Reported outcomes
2 cases report measurable results
−38%
Time & speed
median · 3 metrics
+20%
Quality & accuracy
median · 1 metric
Medians of results published in Anthropic cases, normalized for comparability. See all benchmarks →
Halter built Clank, an autonomous AI agent on Amazon Bedrock that listens for CloudWatch-triggered alerts, gathers logs and context through ephemeral tasks on ECS/Fargate, analyzes incidents with Claude, and proposes code changes for human review.The system automates incident response and routine engineering workflows across a connected livestock platform that serves farmers remotely.
Lawpath built Lawpath AI on Amazon Bedrock using Anthropic Claude, AWS Lambda, and Amazon OpenSearch Service to automate legal answers, document drafting, and document review for customers.The solution includes Ask, Draft, and Document Review features for self-service legal tasks.
MANZ built an AI-powered legal assistant called MANZ Genjus KI with AWS Partner deepset and Anthropic.The system helps legal professionals conduct complex searches, answer intricate legal questions, generate summaries, and draft contracts.It uses Amazon S3, Amazon OpenSearch Service, Amazon Redshift, and Amazon Bedrock as part of a RAG-backed legal research workflow.
Crypto.com uses Amazon Bedrock with Amazon SageMaker Studio to run an efficient architecture that delivers nuanced, domain-specific crypto market insights to 100 million global users.The Singapore-based crypto exchange and trading platform implemented generative AI-powered sentiment analysis services on AWS to generate market insights from crypto and traditional news sources.The solution supports localized multilingual content and a multi-agent consensus-seeking approach for sentiment and narrative categorization.
Strava delivers personalized insights through Athlete Intelligence powered by Claude in Amazon Bedrock.The feature helps users understand complex workout data such as pace, power, distance, and segments in a friendly, encouraging brand voice.Strava worked with AWS generative AI experts to select Claude Haiku and used Amazon Bedrock Guardrails to improve content safety and quality.
FloQast built an AI-powered accounting transformation solution using Anthropic Claude 3.5 Sonnet on Amazon Bedrock.The platform supports accounting transaction matching and AI Annotations for audit evidence, combining S3, Textract, Step Functions, Lambda, Bedrock Agents, and Guardrails.The article says the solution is integrated into the FloQast platform and designed to automate reconciliation and audit workflows at scale.
Palo Alto Networks deployed Anthropic's Claude large language models on Google Cloud's Vertex AI to enhance developer productivity and code quality while maintaining security compliance.Claude models are integrated into IDEs to assist with pair programming, code completion, and post-processing code reviews, accelerating feature development and improving unit test generation.The solution enabled faster onboarding of junior developers from months to weeks and helped senior developers debug code and brainstorm architectural solutions.The deployment has scaled up to 3,000 developers with measurable improvements in speed, security, and code quality, and ongoing efforts to leverage AI for automated code enhancement and security vulnerability patches.