List of Anthropic Claude Customers
Anthropic
548 Market St,
San Francisco, 94104, CA,
United States
San Francisco, 94104, CA,
United States
n/a
Professional Services
2500
$10.0B
Since 2010, our global team of researchers has been studying Anthropic Claude 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 Anthropic Claude for AI infrastructure, MLOps Platforms 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 Anthropic Claude for AI infrastructure, MLOps Platforms include: TELUS Corporation, a Canada based Professional Services organisation with 111500 employees and revenues of $14.85 billion, Lawrence Livermore National Laboratory, a United States based Government organisation with 9563 employees and revenues of $3.25 billion, StubHub, a United States based Professional Services organisation with 1500 employees and revenues of $650.0 million, Norges Bank Investment Management, a Norway based Banking and Financial Services organisation with 572 employees and revenues of $473.0 million, Zapier, a United States based Professional Services organisation with 805 employees and revenues of $250.0 million and many others.
Contact us if you need a completed and verified list of companies using Anthropic Claude, 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 Anthropic Claude 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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AE Stainless Direct | Manufacturing | 20 | $2M | Australia | Anthropic | Anthropic Claude | AI infrastructure,MLOps Platforms | 2025 | n/a |
In 2025, AE Stainless Direct implemented Antrophic Claude on its public website. The deployment uses Antrophic Claude from Anthropic, Apps Category . The rollout targets customer facing product information and order inquiry interactions for a 20 person manufacturing firm based in Australia.
Implementation centered on a web embedded conversational interface that forwards user queries to the Antrophic Claude API, with server side integration tying website content to conversational responses for product detail retrieval and FAQ automation. Functional capabilities configured include conversational product information retrieval, guided ordering prompts, and dynamic FAQ responses, with content management and prompt tuning administered by the marketing and operations teams. Governance emphasizes content versioning, prompt change control, and staged updates to website conversational flows.
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Becker Friedman Institute | Education | 50 | $13M | United States | Anthropic | Anthropic Claude | AI infrastructure,MLOps Platforms | 2025 | n/a |
In 2025, Becker Friedman Institute deployed Antrophic Claude as part of its AI infrastructure,MLOps Platforms footprint to support empirical research on AI's economic impacts. Anthropic provided Claude for Enterprise access to BFI faculty economists, along with instructor-led training sessions and virtual workshops tied to the Anthropic Economic Index.
The Antrophic Claude implementation prioritized researcher-facing model access, secure enterprise provisioning, and workflow support for productivity measurement, labor market transition analysis, and distributional impact studies. Configuration work emphasized controlled data access, reproducible prompt workflows, and training on applying generative AI methods within empirical economic research.
Deployment integrated Anthropic Economic Index research data with BFI research activities, enabling joint analysis that combines index metrics and BFI econometric expertise. Operational coverage targeted University of Chicago economics faculty and affiliated BFI research groups, aligning model access and workshops with ongoing academic research rather than broad administrative use.
Governance established a structured framework for faculty engagement, including training-led adoption, virtual workshops, and shared protocols for data handling and research publication. The partnership is intended to expand methodological approaches to studying AI impacts and to produce research outputs that inform policy and workforce discussions, reflecting the Becker Friedman Institute Antrophic Claude AI infrastructure,MLOps Platforms relationship.
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Bells of Steel | Retail | 60 | $7M | United States | Anthropic | Anthropic Claude | AI infrastructure,MLOps Platforms | 2025 | n/a |
In 2025, Bells of Steel implemented Anthropic Claude on their website, integrating Anthropic Claude into their AI infrastructure,MLOps Platforms footprint to provide conversational and content assistance on the company storefront. The deployment centers on a cloud API integration pattern with server side orchestration that routes site interactions to Anthropic Claude, and a lightweight client widget on the public website to surface responses to customers and prospective buyers.
Anthropic Claude is configured to support typical MLOps capabilities including prompt management, model inference orchestration, model version awareness, and telemetry for request logging and safety monitoring. Operational coverage focuses on the customer facing website and adjacent customer support workflows, with governance controls applied through admin configuration for content filtering and escalation to human teams. Implementation emphasizes an architecture that separates client rendering from model inference to maintain site performance and to centralize observability within the AI infrastructure,MLOps Platforms stack.
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Charm Industrial | Manufacturing | 97 | $10M | United States | Anthropic | Anthropic Claude | AI infrastructure,MLOps Platforms | 2025 | n/a |
In 2025, Charm Industrial deployed Anthropic Claude as a core AI infrastructure,MLOps Platforms implementation to accelerate carbon removal operations and automate verification workflows. The deployment targeted end to end operational complexity, addressing tens of thousands of data points across dozens of systems and hundreds of components that underpin each ton of carbon removed, with commercial customers including Stripe, JP Morgan, and Google cited as relying on Charm's verified credits.
Anthropic Claude was configured into distinct functional modules, including an automated carbon credit verification system, laboratory research assistance for experiment design and results analysis, a geological research assembler that consolidates fragmented state and county datasets for site evaluation and permitting, field operations knowledge access embedded in Slack, and marketing operations agents that manage content backlogs and outbound communications. The implementation combined Claude driven agents with MLOps style pipelines for data ingestion, normalization, and automated report generation to handle heterogeneous inputs such as meter readings from pyrolyzers, truck scale tickets, and high volume chemistry lab measurements.
Integrations described by Charm include live ingestion of operational telemetry from pyrolysis equipment and logistics systems, structured feeds from lab instrumentation, aggregation of geological databases across state and county systems, and Slack integration to surface operational knowledge to field staff. Anthropic Claude operates across laboratory R and D, site selection and permitting, field operations, and marketing functions, with processes aligned to EPA overseen storage workflows for permanently stored bio oil.
Governance and rollout began with a company wide AI initiative launched six months ago that formalized knowledge sharing in dedicated Slack channels and encouraged cross functional experimentation. Charm reports that the automated verification module reduced carbon credit audit completion from three to six months down to days, accelerating revenue recognition and shortening customer delivery times, and senior product leadership cited Claude selection for its balance of intelligence and speed. The deployment narrative centers on operationalization of Anthropic Claude within AI infrastructure,MLOps Platforms practices to scale carbon removal workflows while embedding model driven decision support into routine operations.
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ChatAndBuild | Professional Services | 10 | $1M | United Kingdom | Anthropic | Anthropic Claude | AI infrastructure,MLOps Platforms | 2025 | n/a |
In 2025 ChatAndBuild deployed Anthropic Claude as its primary AI infrastructure,MLOps Platforms solution to power a no code AI app development platform serving 140,000 users across 111 countries. Anthropic Claude was embedded into ChatAndBuild's cloud hosted, multi tenant runtime to provide universal language understanding and production quality code generation across 40 plus languages, forming the core inference and model orchestration layer of the platform.
Implementation focused on Claude capabilities aligned to AI infrastructure,MLOps Platforms patterns, including natural language to code generation pipelines, multilingual semantic understanding, and agent training workflows. Anthropic Claude was configured to produce production quality code from user prompts, to support persistent agent state for learning, and to enable prompt and model tuning as part of a continuous agent lifecycle.
Operational scope spans creator and developer workflows on the ChatAndBuild platform, enabling everyday users to construct and monetize AI agents across product, community, and marketplace functions. With Claude in production ChatAndBuild reports users build 100 plus AI applications daily across 40 plus languages, a projected Year 1 revenue of $84M from agent monetization, and a reduction in app development time by 90 percent for agents built on the platform. The implementation also capitalizes on language token efficiency, with Japanese inputs requiring 40 to 60 percent fewer tokens than equivalent English prompts, extending conversation history and richer context for agent training.
Governance and operational controls were designed to address safety and performance at scale, with model supervision, prompt optimization workflows, and agent training pipelines feeding into a Language Optimized AI Development Suite under development. ChatAndBuild is extending Anthropic Claude to support persistent learning, cross agent collaboration, and scaled agent orchestration to prepare for millions of NFAs while maintaining explicit focus on safety controls and model performance.
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Professional Services | 10 | $1M | United States | Anthropic | Anthropic Claude | AI infrastructure,MLOps Platforms | 2025 | n/a |
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Banking and Financial Services | 1000 | $250M | India | Anthropic | Anthropic Claude | AI infrastructure,MLOps Platforms | 2025 | n/a |
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Manufacturing | 150 | $20M | Australia | Anthropic | Anthropic Claude | AI infrastructure,MLOps Platforms | 2025 | n/a |
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Professional Services | 62 | $6M | France | Anthropic | Anthropic Claude | AI infrastructure,MLOps Platforms | 2025 | n/a |
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Consumer Packaged Goods | 220 | $60M | Germany | Anthropic | Anthropic Claude | AI infrastructure,MLOps Platforms | 2025 | n/a |
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Buyer Intent: Companies Evaluating Anthropic Claude
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| Logo | Company | Industry | Employees | Revenue | Country | Evaluated | ||
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FAQ - APPS RUN THE WORLD Anthropic Claude Coverage
Anthropic Claude is a AI infrastructure, MLOps Platforms solution from Anthropic.
Companies worldwide use Anthropic Claude, from small firms to large enterprises across 21+ industries.
Organizations such as TELUS Corporation, Lawrence Livermore National Laboratory, StubHub, Norges Bank Investment Management and Zapier are recorded users of
Anthropic Claude for AI infrastructure, MLOps Platforms.
Companies using Anthropic Claude are most concentrated in Professional Services, Government and Banking and Financial Services, with adoption spanning over 21 industries.
Companies using Anthropic Claude are most concentrated in Canada, United States and Norway, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Anthropic Claude across Americas, EMEA, and APAC.
Companies using Anthropic Claude range from small businesses with 0-100 employees - 63.16%, to mid-sized firms with 101-1,000 employees - 28.95%, large organizations with 1,001-10,000 employees - 5.26%, and global enterprises with 10,000+ employees - 2.63%.
Customers of Anthropic Claude include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.
Contact APPS RUN THE WORLD to access the full verified Anthropic Claude customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of AI infrastructure, MLOps Platforms.