ni bien ni mal. para lo que necesito sirve pero no me entusiasma especialmente fr

Read 285 verified reviews for Anthropic. See ratings, business responses, and what customers really think.
anthropic.comSan Francisco, US
technology-software
Founded: 2001
Employees: 5000-9999
GuardScore is based on recency, verified reviews, and review volume.
Learn more about GuardScoreni bien ni mal. para lo que necesito sirve pero no me entusiasma especialmente fr
lowkey underrated tbh. doesnt get the hype but quality is there. definitely recommend personally
Support took 5 days to reply and then just closed my ticket without fixing anything. joke of a company ngl
solid product, would give 5 stars if support was faster. everything else is on point tbh
gets the job done but the competition is catching up. needs to keep improving.
gets the job done but the competition is catching up. needs to keep improving fr
lowkey underrated tbh. doesnt get the hype but quality is there. definitely recommend.
lowkey underrated tbh. doesnt get the hype but quality is there. definitely recommend ngl
idk why people rate this so high. laggy, buggy, and customer service is nonexistent!
mostly positive. had one issue that took a while to resolve but they did resolve it. would use again
**What is Anthropic?** Anthropic is an AI research company founded in 2021 and based in San Francisco, United States. It specializes in developing artificial intelligence systems with a strong emphasis on safety and interpretability. The company targets various sectors requiring reliable AI technologies, mainly serving businesses and research institutions. **How does it work?** Anthropic conducts research and development in the field of AI safety, focusing on creating language models and AI systems that can be reliably controlled and understood. Their technical approach involves designing algorithms and architectures that improve transparency and steerability of AI behaviors. This helps reduce risks associated with AI deployment in real-world applications. **Products and services** Anthropic offers research and development services in AI safety and language modeling. The company delivers AI software, tools, and models designed for integration into broader applications requiring ethical and interpretable AI functions. Its offerings mainly include AI frameworks focused on reliability and user-control capabilities in AI systems.
Recency · Recent reviews carry more weight than older ones, reflecting the current customer experience.
Verified reviews · Only reviews from real, verified customers are counted in the GuardScore.
Volume · The more reviews a business has, the more reliable and stable its GuardScore becomes.
Learn more about GuardScoreResponse rate: 0%
A lot of users have noticed that the quality of Anthropic's models has dropped significantly since earlier this year, with many expressing frustration over the decreased effectiveness in handling tasks. This seems to be a common concern among users who previously found the models reliable.
Some users reported facing unauthorized charges and found it necessary to involve their credit card companies for chargebacks. Be cautious because this might lead to your account being flagged or banned for suspicious activity.
Honestly, many users have had pretty rough experiences with Anthropic's customer service, citing long wait times and unsatisfactory responses to their inquiries. Some have waited over a week for basic issues to be addressed.
While there are complaints about performance issues, many users still praise Anthropic's models as being among the best in the AI service market, particularly appreciating their focus on safety and interpretability. There seems to be a mix of satisfaction and frustration regarding recent changes.
The latest Claude version has had its ups and downs; some users feel it has 'nerfed' features that were really useful in previous iterations. Still, others find it effective for specific applications, so it seems to vary by user needs.
Anthropic emphasizes developing AI systems that are interpretable and controllable, focusing on safety throughout their research and development processes. Many users appreciate this approach, even if they're currently experiencing other frustrations.