At a time when many companies are blowing through their AI budgets, those token cost savings have become a major selling point for the company.

After years of essentially being the only player in the category, the seven-year-old startup is accelerating its growth as tech giants enter the enterprise AI search market with rival products.

Uber capped employee AI spending after blowing through its budget in four months.

Even the most valuable companies in the world cannot afford state-of-the-art intelligence for every conceivable use case.

Uber capped employee AI spending after blowing through its budget in four months.

Even the most valuable companies in the world cannot afford state-of-the-art intelligence for every conceivable use case.

Even the most valuable companies in the world cannot afford state-of-the-art intelligence for every conceivable use case.

Catastrophe events are capable of generating more than 100,000 claims in just days

85–90% of customers using the AI Assistant now completing their claim filing through AI

Taking something off the shelf is maybe not going to work because there are all of these other requirements.

The model is fungible underneath; the system of work is not. The next generation of enterprise software is going to be built off the road.

Claude Opus 4.7 has been used to patch over 2,100 vulnerabilities

The enterprise version of that is I don't want a CRM unless at least two other giant enterprises have successfully used that CRM for six months. [...] You want solutions that are proven to work before you take a risk on them.

52.5% reduction in hallucinations

The compliance-driven buyers improvising local AI out of retail Mac Minis because the product they need does not exist.

Claude is now being deployed to NEC Group employees around the world

The interest comes as Anthropic's annual revenue run rate has surged to about $30 billion, driven by strong demand from enterprise customers using its AI tools for coding, cybersecurity, and automation.

This level of penetration in such a short period of time is remarkable since Fortune 500 enterprises are not known to be early adopters of technology. Historically, many startups had to initially sell to other startups to get early momentum, and it was only after a few years that a startup would be able to land its first enterprise contract.

Based on our analysis, **29% of the Fortune 500 and ~19% of the Global 2000**are live, paying customers of a leading AI startup.

Based on our analysis, **29% of the Fortune 500 and ~19% of the Global 2000**are live, paying customers of a leading AI startup.

Building on our consumer strength, enterprise now makes up more than 40% of our revenue, and is on track to reach parity with consumer by the end of 2026.

They intentionally deploy two or three AI tools for the same use case. Not because of indecision—but by design. Redundancy is policy.

Anthropic says Managed Agents is designed to cut the time it takes to move from prototype to production from months to days, with early adopters like Notion, Rakuten, Asana, Vibecode, and Sentry already using it across coding, productivity, and internal workflow automation.

Gemma 4 models undergo the same rigorous infrastructure security protocols as our proprietary models.

in 2024, 47% of AI solutions were built internally and 53% were purchased; today, 76% of all AI is purchased rather than developed in-house.

in 2024, 47% of AI solutions were built internally and 53% were purchased; today, 76% of all AI is purchased rather than developed in-house.