We are building reliable, interpretable, steerable AI systems. Claude is the most trusted assistant for how people actually work — writing, reasoning, and analysis that stands up to scrutiny.
Every serious business now has a policy question about which AI model it can put in front of customers, code, and regulated data. The answer is rarely a confident yes. Hallucinations are routine. Jailbreaks are easy. Reasoning under load degrades quietly.
Developers shipping on top of generic APIs are absorbing the reputational risk — and they know it. A support bot that makes up refund policies isn't a product issue, it's a legal exposure. The frontier is getting more capable every quarter, but "can I actually trust this in production" has not kept pace.
The teams we talk to aren't looking for the cleverest model. They're looking for the one that behaves predictably when the stakes are real.
We train frontier models with Constitutional AI, our published technique for aligning models with explicit principles rather than hidden post-hoc filters. The result is a model that explains its reasoning, refuses specific harms, and can be steered by customers to their own policies.
We then expose Claude through three surfaces — Claude.ai for professionals, the API for developers, and Claude for Enterprise for regulated buyers. Every layer shares the same aligned model. Every layer is safety-evaluated and publicly documented.
Alignment from principles, not patches. Published technique, independently reproducible.
Capability-tied safety commitments, graduated release, red-team evaluations before deploy.
Research-grade tooling for understanding what models do, why they do it, and when to trust them.
A chat surface for writing, analysis, coding, and long-context work. Projects, Artifacts, file uploads, context windows up to 200K tokens. Ships to individual professionals and small teams at $20/seat.
Usage-based access to Haiku, Sonnet, and Opus. Tool use, streaming, vision, long context. Native SDKs, AWS Bedrock, GCP Vertex integrations. Powers thousands of AI products.
SSO, audit logs, SCIM, data residency, zero data retention, custom policies, SOC 2 Type 2 + HIPAA + FedRAMP in progress. Named account teams and shared on-call for F500 customers.
CLI agent that reads, edits, runs, and commits code in your repo. Used across engineering orgs for migrations, code review, and PR drafting. Bills on API tokens, integrates with any git host.
Global enterprise AI spend by 2030. Not a TAM projection — current enterprise software budgets are re-categorizing AI from experiment to infrastructure.
Claude captures this market not by being the cheapest model, but by being the one enterprise legal, security, and compliance teams can sign off on without qualification.
API devs pick Claude for quality of reasoning, long context, and predictable behavior. Bottom-up adoption inside the org — no sales touch required.
Claude Pro and Teams land with the knowledge-worker population. Projects, Artifacts, shared workspaces. Usage data surfaces which teams are ready to buy enterprise.
Named account teams close annual commitments on top of existing usage. SSO, audit, data residency, SOC 2. Average expansion from seat to API to enterprise: 4.3× ARR.
Former VP Research at OpenAI. Led GPT-2, GPT-3, reinforcement learning from human feedback. PhD physics, Princeton.
Former VP Operations at OpenAI, Stripe policy. Built Anthropic's org, safety processes, and commercial motion from zero.
[REPLACE: 1–2 lines — prior company, domain depth, what this founder uniquely brings to the table.]
Led by [REPLACE: lead investor]. Close targeted [REPLACE: month year]. Existing investors committed to the round.