KEAML

Create machine learning environments effortlessly

5.0•1 review•

392 followers

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KeaML allows data scientists to create machine learning environments with no effort. You just have to select an image, the hardware specs that best suit your needs from our large catalog and click 'Create'. That's all.
This is the 2nd launch from KEAML. View more
KeaML Deployments

KeaML Deployments

Deploy machine learning models with one line of code
Experience a seamless AI development journey with KeaML, as we empower you through all stages — develop, train, and deploy.
KeaML Deployments gallery image
KeaML Deployments gallery image
Free Options
Launch tags:
SaaS•Developer Tools•Artificial Intelligence
Launch Team

What do you think? …

Gabriel Obaldia
Maker
📌
Hey PH community 👋! I'm Gabriel, founder of KeaML. Today is super exciting for us! A year ago, we launched KeaML, stepping into the realm of Cloud Development Environments for machine learning. And guess what? We’re back, and this time we bring you Kea Deployments! Diving into AI and spending 8 years in it, I’ve experienced firsthand the gritty challenges of pushing models into production. It's a tough nut to crack, isn’t it? That’s where Kea Deployments swings into action. Our goal? To streamline the deployment process, allowing us, the data scientists and ML engineers, to pour our energy into sculpting extraordinary models without being tied down by the intricate layers of infrastructure. Drawing inspiration from the sleek simplicity that platforms like Vercel shower on the frontend world, Kea is here to redefine the deployment experience in the ML landscape. We are geared up, supporting Scikit Learn models, and guess what’s on the horizon? Transformers, Pytorch, and TensorFlow are gearing up to join the Kea family! 🚀 Jump in and kickstart your journey with our free tier! And here’s a cherry on top — use the code PH1MO to unlock a free month on our paid tiers! Your feedback is the north star guiding KeaML’s evolution and what we are actually want to get from this launch. I’m all ears for your insights, suggestions, and thoughts. So, hop in, explore Kea Deployments, and let’s carve the future of ML deployments together! Cheers, Gabriel
Keshini Dabare
@gobaldia Interesting Idea! Congrats on the launch
Gabriel Obaldia
Maker
Hey @keshini_dabare2! Thanks for your words!
Manu Reynaert
This will save me a TON of time deploying my models 🤓
Gabriel Obaldia
Maker
Hey @manu_reynaert1! Glad to hear that! Go ahead and create a free account to try KeaML out 🤓
Rami
What if the model requires a lot of code to write?
Gabriel Obaldia
Maker
Hi @kingromstar! That’s a great question. We understand that at this stage, we don’t cover all possible use cases, but we’re working towards supporting several of them. The inclusion of pipelines for pre/post-processing is in our backlog. Could you please share the specific use cases you have in mind?
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