The Machine Learning
Deployment Platform for Teams.

TeachableHub is a fully-managed platform bringing ML teams together to deploy, serve, and share impactful models as public or private APIs(a.k.a. Teachables) with ZERO MLOps, seamless scalability, and no costly infrastructure.

What is Teachable?

Created to make a difference, inspired by the open community spirit.

Teachable - [/ˈtiːtʃəb(ə)l/] - noun - A powerful machine learning model deployed as a REST, gRPC or GraphQL API, entirely documented, available to be consumed by any server-side or client-side applications. It can be published privately or shared in public for the community's benefit.

How it works?

You create meaningful models, we give you powerful tools and infra to deploy and host them.
Together we change the future!

Deploy in Seconds

Connect your model from anywhere, using any framework, deploy it as an API & share it with the world. Versioning, model validation, and more available out of the box.

Zero Docker knowledge required
Ready to use API with no coding
From POC to production in no time

Serve at Scale

Securely serve & instantly scale Teachables on our fully-managed serverless infrastructure. Forget about MLOps tasks, underutilized resources, and infra costs.

Infinite scalability & storage
Fast performance and high availability
Pay as you go according to your needs

Manage & Collaborate

Monitor, manage, and control model usage and performance in production, set ACLs & permissions - all from a centralized hub side by side with your entire ML team.

Intuitive, yet powerful UI/UX
360° view of your model's performance
Effortless collaboration with custom workflows

Use on Any Platform

For each model, you get a fully documented & ready to use API you can easily connect with any web, mobile, commerce, or backend platform via our modern SDKs.

Your models available as a microservice
Omnichannel delivery of your predictions
Effortless and simple integration

REQUEST DEMO NOW

Let's deploy models in under 10 minutes

TeachаbleHub brings teams together!

Deploy & Share models freely as public APIs, infra costs are on us!
Our solution is available as a Managed Cloud Service or an On-Premise version
suitable for any infrastructure supporting Kubernetes.

What does it cost?

Deploy & share models freely as public APIs, infra costs are on us!

Free

Community

Ideal for innovators, freelancers, university practitioners, students, and visionaries building open projects.

Unlimited Public Teachables
Unlimited Collaborators
10 Inferences/Sec
CPU Runtime
SSL Protection
Custom Domains
Community Support

Business

Ideal for teams of all sizes, app agencies, enterprises organizations, and professionals working on projects at scale.

All from Community
Unlimited Private Teachables
Roles and Permissions
Unlimited Inferences/Sec
GPU Runtime
Model Versioning
Multiple Environments
360° Performance Monitoring
24/7/365 Business Support
and more out of the box

Reviews from Machine Learning Experts!

Here's what Machine Learning practitioners have to say about our product.

Georgi Kostadinov
Co-founder & CTO @ Kelvin Health | Head of AI @ Imagga
"This demo forever changed my views regarding the model deployment process.
TeachableHub is making the deployment of complex ML models a simple task involving a few lines of code. No need to be a DevOps or MLOps expert anymore. It focuses entirely on teamwork & collaboration, giving the ability to easily involve different stakeholders in the process."
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Ricardo Di Pasquale
Machine Learning Engineering Senior Manager @ Accenture
"A great point on UX simplicity, ML Engineers tend to over-engineer front-end.
It's really difficult to bring simplicity to a complex solution without loosing perspective, so, congrats!
Rolling update release workflow was really easy to set, it works seamlessly.
The modular architecture designed for the ML lifecycle is another point for the team."
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Ale Solano
Data Science, Computer Vision, MLOps @ NTT Disruption
"TeachableHub is a platform that tracks every version of your model, cleverly organized in environments. Every version comes with automatic documentation and metadata so you can check where the model came from. With a few lines of code you can upload your models from wherever you are. And with every upload, a new API endpoint is created that you can beautifully test from an integrated Postman. Once you're comfortable with the model, you can easily promote it."
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Alexander Sokolov
Co-founder & Chief Technology Officer @ WeOne
"TeachableHub is early stage but have a mature feature set: multi-environment, blue/green deploys, model versioning, automatic model documentation generation, seamless autoscaling, etc. If you look for a solution to free your Data Science team from writing Dockerfiles and Ops you might check it."
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Sho Virtucio
Machine Learning Operations Engineer @ Retail AI, Inc
"I'm currently using Kubeflow pipelines integrated on GCP for most of my MLOps endeavours, but after looking at the deployment platform from the TeachableHub team, it really streamlines the MLE process and serving the models, especially for Data Scientists."
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Artem Yushkovsky
MLOps Engineer @ Neu.ro Inc
"Very clear scope: deploying ML models. Let's all focus on one thing! Neat UX: the team seems to have found the balance between flexibility (hackability) and strict declarative configuration. Let's all think of our users! Modular architecture: not just the APIs of the platform are designed with easy integrations in mind, the team always try to utilise third-party tools firs. Let's all stop reinventing the wheel!"
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Madhusudhan Vasavakkala
Product Management & Business Growth @ Neurocat.ai
"Recently I had a chance to view a product presentation of TeachableHub!
I was impressed by the product vision and storytelling behind the product.
If you are in the MLOps space, this is worth a checkout!"
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Kamen Pavlov
Machine Learning Engineer @ MLmargin | Co-founder @ KG Intelligence
"It was eye opening to see how TeachableHub approaches MLOps...They are focusing on providing state of the art, easy to use Machine Learning Models deployment experience, which unties the hands of the software developers to focus their energy on other challenges.
Looking forward to work with TeachableHub!"
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