The data, skills, workflow, and software engineering are different, too
Tracking hundreds of experiments with thousands of parameters; configuring complex, costly cloud compute infrastructure; and deploying traceable, reproducible models into production all require an end-to-end platform for managing the entire model lifecycle in a detailed, integrated, and consistent way.
But until now, the MLOps solution for deep learning was a DIY toolchain.
Built to meet the unique needs of deep learning engineers, managers, and stakeholders for scalable development, deployment, and infrastructure - on premises, and in public, private, or hybrid clouds.
It’s 10 times better in terms of overall productivity and time saved. Spell provides a single machine and I can run 50 experiments if I want to.
Unlike the DIY toolchain, Spell captures a complete, persistent record of the model lifespan, from experiment to deployment, including training data, experiment parameters and results, deployment location, performance, retraining results, and more. The Spell Model Lineage enables richer model explainability, reproducibility, governance, and regulatory compliance.
The ad hoc toolchain comes with a lot of manual tuning, tweaking, and coding to support the end-to-end deep learning workflow. Spell streamlines the entire process with advanced automation, saving time and money, and avoiding errors in building and deploying models.
The Spell platform is comprehensive and extensible through APIs that make it easy to integrate preferred 3rd party tools for managing experiments in development and monitoring models in deployment.
Compared with our previous workflows, Spell has increased our efficiency by roughly 20%, with the potential for a greater increase as the product grows.
Spell is the easiest, most affordable way to rapidly operationalize AI at scale for NLP, Computer Vision, Voice Recognition, and other types of deep learning.
Easily maneuver through the ML pipeline with a powerful MLOps platform that facilitates productivity and collaboration.
Take charge of oversight and accountability with an MLOps platform that empowers your engineers to do their best—and most important — work.
Accelerate your team's business impact with complete control and management of your MLOps. From prototype to production, Spell helps enterprises reduce time to value and increase ROI.
I love the experience of using Spell — you set it and forget it. It's like using a crockpot! I always recommend it for people trying to learn ML. I'm a brand advocate!
Spell is the product of lessons learned in our founders’ successes leading the development of deep learning management tools and infrastructure at Facebook AI Research (FAIR), Ebay, and machine vision leader, Clarifai. Spell was founded to bring state-of-the-art deep learning MLOps to the masses, through an affordable solution for AI startups, enterprises, and service providers of all sizes, and through free access for students and individual practitioners through the Spell Community.
Spell plugged in seamlessly to our existing infrastructure and tools so our team could get up and running right away without slowing down ongoing projects.