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Case Studies

Anthropic publishes 256 customer stories and roughly 95 more that never appear in its own index. This is the organized view, cut so you can find the company that looks like yours.

Hand-drawn line illustration in warm terracotta and cream: two hands fan out five blank story cards like a card hand, studied by an abstract face drawn in a single line.

Why this section exists​

claude.com/customers is a good corpus behind a bad index. The page lazy-loads a small batch of stories at a time, so the visible count understates the real one by roughly 90 percent. The sitemap is authoritative: there are 256 stories.

There is also a second corpus almost nobody sees. Around 95 additional customer stories live outside the index entirely, spread across news posts, blog posts, and conference sessions. Several major named customers have no /customers page at all, and a few companies publish stronger numbers off-index than on their own case-study page.

Everything below is the company's own published figure, quoted briefly and linked to the source.

Start with the cut that matches your question​

The master list is The Index: all 256 published stories, one row each, alphabetical and searchable, every row linked to the official page.

If you are askingGo here
"Is there a story about company X?"The Index
"Has a company at my stage done this?"The startup cut
"What does the strongest evidence actually look like?"Strength of evidence

What the corpus looks like at a glance​

By industry. Software and SaaS dominates at 125 stories, roughly half the corpus. Then financial services (20), professional services (17), beneficial deployments and nonprofits (15), education (14), cybersecurity (10), healthcare (8, plus 5 in life sciences), and legal (8).

Cybersecurity is worth noting out of proportion to its size: it carries the highest average metric quality in the corpus. Security teams publish falsifiable numbers because their buyers demand them.

By use-case pattern. Coding and developer productivity is the largest at roughly 45 stories, followed by agents that do a whole job end-to-end (~40), document intelligence and extraction (~35), search and retrieval (~25), content generation (~25), classification and triage (~20), customer support automation (~20), voice (~10), and computer use or browser automation (~8).

The distribution is itself a finding. Coding is the wedge most companies enter through, but the end-to-end agent category is close behind and is where the more interesting business outcomes cluster.

How to read the numbers responsibly​

Not all published metrics are equally strong, and treating them as interchangeable is how you lose credibility with a technical audience.

  • Controlled or benchmarked results, where a method is disclosed, are the ones to lead with.
  • Hard operational numbers are self-reported but specific and falsifiable.
  • Directional numbers are credible but have no disclosed method. Use them for color, not for an argument.

A handful of published pages also contradict themselves, print another company's statistics, or explicitly label their own figures illustrative. Those are flagged individually in Strength of evidence. Check a number there before you put it in a deck.

Further Reading​