List of Amazon Bedrock Customers
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Since 2010, our global team of researchers has been studying Amazon Bedrock customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Amazon Bedrock for API Management from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Amazon Bedrock for API Management include: Delta Air Lines, a United States based Transportation organisation with 103000 employees and revenues of $61.64 billion, Novo Nordisk, a Denmark based Life Sciences organisation with 78554 employees and revenues of $45.92 billion, NextEra Energy, a United States based Utilities organisation with 16800 employees and revenues of $24.75 billion, Freddie Mac, a United States based Banking and Financial Services organisation with 8004 employees and revenues of $21.20 billion, Synchrony, a United States based Banking and Financial Services organisation with 20000 employees and revenues of $16.13 billion and many others.
Contact us if you need a completed and verified list of companies using Amazon Bedrock, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The Amazon Bedrock customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Delta Air Lines | Transportation | 103000 | $61.6B | United States | Amazon Web Services (AWS) | Amazon Bedrock | API Management | 2025 | n/a |
In 2025, Delta Air Lines implemented Amazon Bedrock to build a conversational customer service tool that answers passenger questions in a natural style, from simple baggage allowance inquiries to complex travel policy scenarios such as carrying a pet in the cabin. Amazon Bedrock is used as the primary application for generative AI capabilities in this deployment, enabling the airline to surface conversational responses that reference policy and procedural knowledge.
The implementation uses Amazon Bedrock as the model hosting and orchestration layer, with core functional modules focused on natural language understanding, intent classification, dialog management, context handling, and response generation. The Amazon Bedrock deployment supports prompt engineering and iterative model tuning workflows to refine conversational accuracy and handle both single-turn informational queries and multi-turn policy clarifications.
Operational coverage targets Delta Air Lines customer service and contact center workflows, embedding the Amazon Bedrock conversational assistant into passenger-facing channels and agent augmentation touchpoints. Business functions impacted include passenger customer service, reservations support, and contact center agent assistance, with the assistant designed to operate across those functions to streamline question resolution.
Governance for the Delta Amazon Bedrock rollout emphasizes model monitoring, response validation, and controlled iteration of prompts and training artifacts, using established AI safety and quality controls typical of generative AI deployments. Apps Category:
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Freddie Mac | Banking and Financial Services | 8004 | $21.2B | United States | Amazon Web Services (AWS) | Amazon Bedrock | API Management | 2020 | n/a |
In 2020 Freddie Mac implemented Amazon Bedrock, Apps Category: . The deployment used Amazon Bedrock to host foundation models and managed inference endpoints within the AWS footprint, enabling experimentation with model orchestration and prompt engineering at scale.
The implementation focused on LLM-driven capabilities, including text generation, text summarization, code to documentation and documentation to code workflows. Core functional components implemented included prompt engineering toolchains, RAG retrieval workflows, LangChain style orchestration for AI agents, and vector stores and embeddings built with FAISS to support semantic search and retrieval augmented generation.
Operational coverage spanned AI/ML, Mobile, DevOps, Data, and Strategy teams, and integrated with automated CI/CD pipelines and cloud-hosted mobile application services referenced in program artifacts. The Amazon Bedrock implementation was used alongside other LLMs, with integrations into Chrome extension tooling and AI-driven apps that leveraged vectorized data stores and model inference for product features.
Governance activities emphasized data governance and quality assurance, with product and program leadership defining integrated roadmaps, prioritization criteria, and metrics for Data Products. Initiatives using AWS BedRock and other LLMs incorporated prompt engineering and automation that were recorded to reduce manual labor estimates dramatically and to accelerate go-to-market cycles, reflecting outcomes described by program management and technical product leadership.
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HCL Technologies | Professional Services | 226379 | $14.5B | India | Amazon Web Services (AWS) | Amazon Bedrock | API Management | 2023 | n/a |
In 2023 HCLTech announced a collaboration with Amazon Web Services that included deploying Amazon Bedrock as a Generative AI Platform to accelerate enterprise adoption of generative artificial intelligence. The announcement linked HCLTech, Amazon Bedrock, and the Generative AI Platform category to a coordinated program to bring foundation model access, responsible model use, and developer tooling into HCLTech engineering and client engagements.
Implementation scope centered on internal enablement and client delivery, with HCLTech rolling out Amazon Bedrock capabilities alongside Amazon CodeWhisperer across more than 50,000 engineers, cloud practitioners and developers. Configuration focus emphasized secure development workflows and model consumption patterns, leveraging Amazon Bedrock for foundation model orchestration, prompt engineering and managed model endpoints, while Amazon CodeWhisperer was positioned to integrate into developer toolchains for faster, security-aware code generation.
Integrations were explicit and multi-layered, HCLTech integrated Amazon Bedrock with its Advantage Cloud platform for automated mass application migration, enabling automated rehosting, refactoring and re-platforming treatments and a centralized dashboard to monitor and plan migrations. The collaboration referenced AWS compute accelerators such as AWS Trainium and AWS Inferentia and AWS model assets like Amazon Titan as part of the broader GenAI portfolio, and HCLTech highlighted deployed solutions on AWS including the Ziva bot for financial services and an ML-powered Amazon Connect implementation.
Governance and operational controls were framed around responsible AI and secure application practices, with centralized dashboards to govern migration treatments and developer uptake. The program was described as aimed at accelerating innovation and establishing a global AI economy, positioning Amazon Bedrock and the Generative AI Platform as core infrastructure for HCLTech’s internal modernization and client-facing GenAI services across New York and Noida.
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Huron | Professional Services | 7335 | $1.7B | United States | Amazon Web Services (AWS) | Amazon Bedrock | API Management | 2024 | n/a |
In 2024, Huron Consulting Group deployed Amazon Bedrock as part of an API Management initiative to accelerate the administration of clinical trials. The implementation used Amazon Bedrock to enable generative AI capabilities for clinical trial coverage analysis and operational decision support within Huron's professional services practice.
The implementation established model access and orchestration layers, exposing foundation model functionality through managed API endpoints and prompt-engineering workflows. Functional capabilities implemented included natural language analysis pipelines for protocol and site coverage review, conversational query handling for study teams, and automated extraction of coverage indicators to support study planning.
Built on Amazon Web Services infrastructure, Amazon Bedrock served as the foundation for the generative AI stack while API Management governed authentication, request routing, and usage controls for model invocation. Operational scope centered on clinical operations and research analytics teams responsible for study feasibility and coverage analysis, integrating AI-driven insights into existing study planning workflows.
Governance included human-in-the-loop validation workflows and review gates to audit model outputs and ensure alignment with clinical review processes. The deployment accelerated aspects of clinical trial administration by surfacing coverage insights to study teams while retaining manual validation steps to mitigate risk.
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NextEra Energy | Utilities | 16800 | $24.8B | United States | Amazon Web Services (AWS) | Amazon Bedrock | API Management | 2020 | n/a |
In 2020, NextEra Energy implemented Amazon Bedrock as part of an API Management initiative focused on modernizing customer experience and decisioning. The Director of Information Technology for Customer Solutions led the enterprise modernization program, embedding Amazon Bedrock into the customer engagement stack to enable GenAI-backed decisioning and conversational interactions.
Amazon Bedrock was configured to serve as an API management and inference layer, hosting generative AI capabilities that support conversational AI, intelligent agent tooling, and automated decisioning workflows. The implementation emphasized modular capabilities, including conversational interfaces built with AWS Lex, GenAI model inference orchestrated through Amazon Bedrock, and orchestration logic to route requests between model inference and agent tooling.
The deployment architecture was cloud native on Amazon Web Services, integrating a unified data platform that ingests both real-time and batch pipelines to improve customer insight freshness. Integrations explicitly included AWS Lex for conversational front ends and the unified real-time and batch data pipelines for context enrichment, with operational coverage spanning Customer Experience, IT, and Operations teams within the Customer Solutions organization.
Governance and rollout were defined in partnership with CX, IT, and Ops leaders to establish roadmap, governance, and KPIs, while a cross functional team of integration architects, data scientists, engineers, and product owners was mentored by the Customer Solutions IT leadership. The program explicitly aimed at reducing cost per interaction and improving speed to resolution, reflecting targeted operational outcomes tied to the Amazon Bedrock API Management deployment.
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Life Sciences | 78554 | $45.9B | Denmark | Amazon Web Services (AWS) | Amazon Bedrock | API Management | 2024 | n/a |
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Banking and Financial Services | 20000 | $16.1B | United States | Amazon Web Services (AWS) | Amazon Bedrock | API Management | 2023 | n/a |
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Buyer Intent: Companies Evaluating Amazon Bedrock
- Utravel, a Italy based Leisure and Hospitality organization with 140 Employees
- Halon Security AB, a Sweden based Professional Services company with 25 Employees
- JTI - Japan Tobacco International, a Switzerland based Manufacturing organization with 45000 Employees
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