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Spell
AI · New York City, United States · Founded 2017
Spell is a technology startup that aims to empower and transform the global workforce by making deep learning and AI accessible to everyone MoreLess
Spell is an enterprise-grade platform designed to simplify the management and deployment of machine learning (ML) and deep learning (DL) projects. Serving primarily enterprise clients, Spell operates in the cloud computing and artificial intelligence markets. The platform allows businesses to manage their own cloud infrastructure, spin up and down instances as needed, and integrate seamlessly with Single Sign-On systems, internal data stores, and governance systems. Spell's business model revolves around providing a premium service that includes on-premise deployment, real-time Slack support, and a comprehensive suite of tools for data exploration, model training, and workflow automation. Revenue is generated through subscription fees for its premium services and additional features. The platform is particularly beneficial for teams, offering collaboration tools, project monitoring, and experiment reproducibility. Spell's intuitive interface and simple commands enable quick onboarding and immediate productivity gains, making it an attractive solution for companies looking to enhance their ML capabilities.
Keywords: machine learning, deep learning, cloud integration, workflow automation, enterprise, collaboration, infrastructure management, real-time support, data exploration, model training.
Talent graph
Spell's talent
Source: Dealroom Talent Intelligence.
Global footprint
Where Spell has talent and traffic
Market sentiment
What the market is saying about Spell
An AI-synthesized read of the highest-engagement posts about Spell on X over the past 7 days. We rank by likes & retweets, ignore corporate channels, and surface the themes that broke out from real people.
Reading the room on X — pulling top posts and synthesizing themes…
Source: X recent search ranked by engagement (likes + retweets) · Synthesis by Claude · Cached for 1 hour
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