Plexe automates the full ML lifecycle from messy data to deployable models. Run 50 plus diagnostic tests, detect failure modes, and generate insights, dashboards and models using plain English. No notebooks. No guesswork. Just results.
As someone who’s spent way too many cycles watching ML projects stall in experimentation hell, I love how Plexe flips the workflow: diagnose → explain → deploy, all in plain English. The evaluation transparency (feature importance, bias checks, robustness) is the real differentiator, not just faster ML, but auditable ML.
Curious how you’re thinking about governance over time? For example, automated retraining thresholds or drift detection tied to real business outcomes. Either way, this looks like one of those “inevitable” products that make it easier for smaller teams to ship serious intelligence. 👏
@german_mikulski thank you so much for all your support from day 0!
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Hey team, congrats on the launch here. Huge fan of Plexe AI. The simplicity that the platform provides without losing flexibility is impressive, and I can already see this speeding up the model deployment in production for teams.
Congratulations Vaibhav for the launch, This is amazing. Building ML models is tough and in the higher usage of AI, its important to have small specific models for specific purpose.
@siddhantmohan1 Absolutely! We’ve built Plexe for exactly this reason. Thanks a lot for your support on the launch!
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Yooo, Plexe looks super promising! 🔥 Ngl, building ML models in plain English is a game changer. I'm curious, what kind of ML tasks do you think it handles best? Congrats on the launch! 🎉
@lucian_liu thanks a lot! Currently Plexe handles any kind of structured data really well. It’s worked particularly well for recommendations and fraud detection use cases along with forecasting! What would you use Plexe for? :)
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Congrats, team! ML workflows finally getting the speed and simplicity they deserve 👏
Replies
Triforce Todos
How customizable is the visual editor when using imported templates from MJML?
Plexe
@abod_rehman Not sure I understand your question :) Can you please help clarify what you mean?
Ntropy
this will simply become more and more valuable as AI bros forget how to actually train and build classical ML models
Plexe
@ilia_zintchenko Hahah I agree! We're making the entire ML toolkit to all AI bros :)
The Startup Help Desk Podcast
Nice work team!!
Plexe
@ashrust Thanks a lot for your support Ash!
Morphik
Congrats on the launch, so excited to see this! Plexe is a game changer
Plexe
@adityav369 Thank you so much! So happy to see how you and @arnav_agrawal have been building @Morphik <3
Plexe
@adityav369 Thanks mate!
JustPaid
As someone who’s spent way too many cycles watching ML projects stall in experimentation hell, I love how Plexe flips the workflow: diagnose → explain → deploy, all in plain English. The evaluation transparency (feature importance, bias checks, robustness) is the real differentiator, not just faster ML, but auditable ML.
Curious how you’re thinking about governance over time? For example, automated retraining thresholds or drift detection tied to real business outcomes. Either way, this looks like one of those “inevitable” products that make it easier for smaller teams to ship serious intelligence. 👏
Plexe
@anelya_grant2 Thank you so much! We have built-in monitoring for the models and you can click on a button to automatically retrain the model :)
Strelka
Love it! Looks super useful
Plexe
@german_mikulski thank you so much for all your support from day 0!
Hey team, congrats on the launch here. Huge fan of Plexe AI. The simplicity that the platform provides without losing flexibility is impressive, and I can already see this speeding up the model deployment in production for teams.
Plexe
@sumanth_077 Thanks a lot, Sumanth! 🙌 Glad you’re liking it.
CloudOps.ai by SD Squared
Congratulations Vaibhav for the launch, This is amazing. Building ML models is tough and in the higher usage of AI, its important to have small specific models for specific purpose.
Plexe
@siddhantmohan1 Absolutely! We’ve built Plexe for exactly this reason. Thanks a lot for your support on the launch!
Yooo, Plexe looks super promising! 🔥 Ngl, building ML models in plain English is a game changer. I'm curious, what kind of ML tasks do you think it handles best? Congrats on the launch! 🎉
Plexe
@lucian_liu thanks a lot! Currently Plexe handles any kind of structured data really well. It’s worked particularly well for recommendations and fraud detection use cases along with forecasting! What would you use Plexe for? :)
Congrats, team! ML workflows finally getting the speed and simplicity they deserve 👏