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Anthropic

AI safety company that builds Claude.

anthropic.com·8 verified reviews·trust 1.00
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Public profile · AI synthesis of public sources· llama-3.3-70b-versatile

Anthropic is an American artificial intelligence company headquartered in San Francisco, founded in 2021. The company is privately held and has an estimated value of $380 billion as of February 2026. Anthropic operates in the AI industry, specifically developing large language models, and is led by CEO Dario Amodei and president Daniela Amodei. The company has a focus on AI safety and has developed models named Claude. Sources: Wikipedia.

Cited sources: Wikipedia. Not user reviews — see verified reviews below.

Wikipedia

Anthropic is an American artificial intelligence (AI) company headquartered in San Francisco. It has developed a series of large language models (LLMs) named Claude and has a focus on AI safety. Anthropic was founded in 2021 by former members of OpenAI, including siblings Daniela Amodei and Dario Amodei, who are president and CEO, respectively. The company is privately held and as of February 2026 had an estimated value of $380 billion.

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Employment reviews
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EmploymentResearch
4.7

Compute access is the underrated benefit

If you're doing AI research, the difference between abundant compute and rationed compute is the difference between exploring ideas and writing memos about ideas.

demo_employee · 5/27/2026
EmploymentEngineering
4.5

Hiring bar feels intentional

Interview process is rigorous but the questions are calibrated to the work. Felt respected throughout — no trick puzzles, no time-pressure ego plays.

demo_employee · 5/27/2026
EmploymentEngineering
4.0

Compensation is competitive, not extravagant

Pay is fair for the role and the market. People aren't here for the cash — they're here for the work. If you're optimising for total comp at all costs, FAANG will pay more.

demo_employee · 5/27/2026
EmploymentEngineering
4.6

Onboarding is generous

New hires get paired with senior folks for the first month and there's no rush to ship. The trade-off is everything's still evolving, so 'how do we do X here' sometimes has no answer yet.

demo_employee · 5/27/2026
EmploymentPolicy
4.5

Mission alignment is real, not posters on a wall

Safety considerations actually shape product decisions in meetings I've sat in. That's rare. The flipside: decisions take longer because you're weighing more dimensions.

demo_employee · 5/27/2026
EmploymentResearch
4.8

Easily the most psychologically safe team I've been on

People share half-baked ideas in open documents and the responses are substantive, not performative. Research engineers and policy folks talk to each other. I've worked at five companies before and have never seen this density of curiosity.

demo_employee · 5/27/2026
EmploymentEngineering
4.3

Demo — collaborative onboarding

Demo content. New hires often mention generous context-sharing and pairing.

demo_employee · 5/27/2026
EmploymentResearch
4.7

Demo — research-aligned

Demo content. Common feedback highlights psychological safety and a calm decision-making cadence.

demo_employee · 5/27/2026