Solution partner
AWS Generative AI Innovation Center powers 39 source-linked AI deployments documented in AIUseCaseHub, across 16 industries and 13 countries. Documented deployments include AI agents, RAG.
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39
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Hyperscaler mix
Filter AWS Generative AI Innovation Center's implementations by cloud provider evidence.
Build / Buy / Compose across this partner's documented cases
38 of 39 cases classified (97%) · Compare all use-case types
Reported outcomes
22 cases report measurable results
+85%
Quality & accuracy
median · 19 metrics
−81.5%
Time & speed
median · 12 metrics
−96%
Cost savings
median · 6 metrics
Medians of results published in AWS Generative AI Innovation Center cases, normalized for comparability. See all benchmarks →
Evidence persistence
4 of 4 judgeable cases are still publicly referenced · 4 show the organization expanding AI use.
Durability of public evidence, not whether systems remain in production. How this is measured →
BNB Chain built BNB Agent Studio on AWS using Amazon Bedrock AgentCore to give developers a secure, managed runtime for AI agents.The platform helps developers deploy persistent, globally accessible on-chain agents that are no longer tied to a single machine.It also supports on-chain identity and payment capabilities for agents, which previously required specialist Web3 skills and lengthy manual setup.
Rich Data Co (RDC) is a Sydney-based SaaS provider specializing in AI-driven credit decisioning for business and commercial lending.RDC built two assistants to support data scientists and portfolio managers with model development, data querying, and portfolio analysis for financial institutions.
Azercell Telecom LLC built an Azerbaijani large language model on Amazon SageMaker AI for telecom use cases and a customer-facing chatbot using a custom tokenizer, continued pre-training, and LoRA fine-tuning.The implementation used distributed training with PyTorch FSDP and Liger Kernel optimizations, plus Amazon SageMaker Unified Studio, Amazon EC2, Amazon S3, and Amazon CloudWatch.
Works Human Intelligence (WHI) develops and supports the integrated HR system COMPANY for major Japanese corporations and public interest corporations.The company built two AI agents with Amazon Bedrock AgentCore to automate routine HR operations, including commuting allowance approvals and browser-based HR system tasks.
Treasury Intelligence Solutions (TIS) provides cloud-based payments, cash visibility, and forecasting solutions for multinational enterprises.TIS developed an AI Personal Assistant to help treasury teams streamline data-heavy finance operations and reduce manual work while maintaining accuracy and compliance.
KONE, a global elevator and escalator company, built a generative AI assistant on AWS to help field technicians troubleshoot issues faster using confidential documentation, maintenance reports, and IoT data.Technicians access the assistant through a mobile app called Technician Assistant as a first step before escalating to technical help desks.The solution emphasizes security, privacy, least-privilege access, data minimization, and encryption with AWS Key Management Service.
EBSCO Information Services uses Amazon Nova Lite to optimize the research experience and inference costs.EBSCO built an AI Insights feature that generates on-demand insights into top concepts in academic articles, with multilingual support and runtime full-text prompting.
Alnylam Pharmaceuticals uses generative AI to streamline product complaint management and internal knowledge access.The company built a product complaints intake and triage prototype with Amazon Bedrock and Amazon S3, and a Slack-integrated internal assistant called AskALNY for employee information retrieval.
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.
Exact Sciences, through its PreventionGenetics subsidiary, uses AWS to accelerate variant curation and phenotype abstraction for genetic testing.The company manually reviewed scientific literature and patient clinical notes to interpret genetic variants that may cause rare disease or indicate elevated risk, and needed to speed turnaround for clinicians and patients.Working with the AWS Generative AI Innovation Center, Exact Sciences built the Variant Curation Accelerator and a phenotype abstraction tool on Amazon Bedrock, with human review, citations, source PDFs, and highlighted supporting text to improve trust and accuracy.
Halliburton Landmark built an AI-powered assistant for Seismic Engine to convert natural-language requests into executable seismic workflows and answer questions from documentation.The solution uses Amazon Bedrock Knowledge Bases, Amazon Nova Lite, Amazon OpenSearch Serverless, Amazon Titan Text Embeddings V2, Amazon App Runner, and Amazon DynamoDB in a conversational workflow-generation and Q&A architecture.
DoorDash, a local commerce platform, wanted to enhance self-service support for Dashers, Consumers, and Merchants by reducing live agent interactions and improving contact center user experience.Collaborating with AWS Generative AI Innovation Center, DoorDash built a voice-operated generative AI self-service contact center solution using Amazon Bedrock foundation models (Anthropic Claude) and Amazon Connect Customer, implementing retrieval-augmented generation from public help center data for accurate response.The AI-powered contact center handles hundreds of thousands of calls daily, reducing agent transfers by 49%, improving first contact resolution by 12%, and cutting development time by 50%.The solution operates with response latency of 2.5 seconds or less, is fully rolled out to all Dashers, and achieves $3M annual operational cost savings with plans for expansion.