Shir Chorev

Deepchecks Monitoring - Open source monitoring for AI & ML

Deepchecks Monitoring takes the open source testing experience all the way to production: enabling you to send data over time, explore system status and receive alerts on problems that arise over time.

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Arseny Kravchenko
That is a good problem to solve, many ML systems lack proper monitoring. Good luck with the launch!
philip tannor
@arseny_info thanks so much!!
Shir Chorev
@arseny_info Appreciate it!
Divyansh ChaurasiaπŸ‘¨πŸ»β€πŸ’»
Congrats team on the PH launch! πŸš€πŸ€©
philip tannor
@asdivyansh thanks a million!
Shir Chorev
@asdivyansh awesome to have your onboard!
Ido Ivri
Awesome, we'll definitely give this a spin as we have multiple generative and deep learning models in production!
Shir Chorev
@idoivri Happy to hear! looking forward to your feedback & let's talk about the llm features
philip tannor
@idoivri amazing! Can't wait to hear the feedback =]
Gavriel Cohen
Really cool product! Will definitely give this a try
Shir Chorev
@gavriel_cohen great, looking forward for your feedback!
I like your idea, AI products will turn our world to a new tech era!
Shir Chorev
@serhii_uspenskyi indeed, we live in interesting times πŸ€“
Venkatesh
Congratulations on the launch. I am building a chatbot SAAS leveraging OpenAI. This seems exciting to me for scale and availability.
Shir Chorev
@venkatesh1 Amazing! Feel free to reach out (e.g. via linkedin: https://www.linkedin.com/in/shir...) would love to discuss
Verbyl
"Shir, I'm thoroughly impressed by your idea. It's a game-changer that has the potential to redefine industry standards."
Shir Chorev
@gabriel_rakemel Appreciate it. Would love to hear more about your thoughts on the space.
Or Hiltch
Congratulations on your launch! It's super exciting to see how you're democratizing AI monitoring and validation with an open-source solution. The idea of enabling users to test out your platform without the need to share sensitive data is a critical step toward building trust and accessibility in AI and ML ecosystems. The comprehensive set of features, specifically the root cause analysis capabilities, tracking checks over time, and the ability to set alert rules, really hit the nail on the head. These are indeed crucial aspects of effective ML monitoring, and integrating them in such a user-friendly manner speaks volumes about your attention to detail and understanding of user needs. The balance between maintaining a strong commitment to the open-source community while also addressing the needs of larger teams is great! Congrats on the launch! πŸš€
Shir Chorev
@or_hiltch1 Wow thanks so much for the kind words and support. Super happy to hear you see it similarly to us!!
Daniel Tannor
Very promising.
Shir Chorev
@daniel_tannor thanks for your support!
Nevo Alva
@shirch you guys rock! I'll give it a try and send you some feedback
Shir Chorev
@nevoalva Awesome!