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Power Your Machine Learning Lifecycle

Spell is an end-to-end data science and machine learning platform that provides the infrastructure for companies and developers to prepare, train, deploy, and manage the full lifecycle of Machine Learning and Deep Learning experiments.

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Spell is a platform for Machine Learning and Deep Learning for those looking to run multiple experiments in parallel and get fast results without worrying about overhead or infrastructure management.

Developers

Run experiments on the best CPU or GPU machine types and frameworks without investing time and money into infrastructure and management. The Spell platform is intuitive, uses simple command line tools, and accessible through a web console.

Teams

Spell is built for Team collaboration, project monitoring, and experiment reproduction. The platform’s Jupyter workspaces, datasets, and resources are straightforward and accessible. Spell’s clear and concise flow also makes it easy to onboard new hires and get them up and running quickly.

Enterprise

Spell’s white glove service features on-premise deployment and real-time Slack support. Companies can work on their specific operations. The platform integrates with Single-Sign-on systems, internal data stores, and governance systems. This premium service provides everything necessary for clients to be successful in their Machine Learning and Deep Learning endeavors.

Save Time on DevOps

Don’t be held back by infrastructure. Access the fastest CPU and GPU machine types and frameworks in seconds.

Accelerate Training and Optimization

Easily distribute your code to run projects in parallel. Built-in hyperparameter optimization tools, and integrations with Tensorboard and Weights & Biases help improve models up to 10x faster.

Cloud Management and Integration

Deploy easily to your private cloud and quickly start machine learning projects. Bring your own AWS or GCP credits, keep data in your S3 or Google Cloud buckets, and deploy models within your private cloud infrastructure.

Model Serving and Management

Deploy models in one-click on industrial-grade, auto-scaling, Kubernetes-based infrastructure. Easily manage the model life cycle, model versions, and performance results of inference.

Automate the MLOps Lifecycle

Take control of your projects from start to finish. Our Workflow API and Metrics API allow you to automate key stages in your ML pipeline. Create charts to track the performance of your code.

5,000+ Experts Trust Us

See some of their testimonials here

Ana Lopez, ML Engineer at Omdena

I had the opportunity to work with Spell on a challenge for Omdena to preprocessing our datasets. This was a great experience because on my laptop this process took many hours while on Spell it was much faster and my laptop didn't freeze. Additionally, Spell had logs where I can monitor my process, kill the run if it is necessary, and I can see how long the run is so I can monitor performance in my code.

A Platform For Everyone

Spell is a collaborative platform that lets anyone run machine learning experiments.

Learn

Learn Spell

Get started with machine learning with our collection of hands-on beginner tutorials and videos.

Docs

Explore the Docs

Find information on getting started with Spell, core concepts, troubleshooting your runs, and more.

Contact Us

Connect with our team to learn how Spell can accelerate your business.

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