Spell, the leader in operationalising AI for natural language processing (NLP), machine vision, and speech recognition, has launched the world’s first cloud-agnostic, end-to-end MLOps platform for deep learning. The solution developed by AI industry veterans, tracks, manages, and automates the entire deep learning workflow, from developing and training, to deploying and optimising models at scale.
The platform significantly improves efficiency, effectiveness, and compliance for AI projects in large enterprises and AI startups.
Spell addresses these needs by managing and automating the orchestration, documentation, optimisation, deployment, and monitoring of deep learning models throughout their entire lifecycle.
Spell also introduces unique cloud infrastructure automation that can reduce compute costs by 66% or more. Spell replaces costly on-demand cloud instances by transparently automating the use of far less expensive “spot” instances for continuous training execution. Training and retraining deep learning models using on-demand cloud instances can cost many thousands or even millions of dollars. Spell’s unique virtual on-demand instances can cut those compute costs in half.
The company was founded to bring state-of-the-art deep learning MLOps to the masses offering an affordable solution for AI startups, enterprises, and service providers of all sizes.
Spell’s customers include Akasha, AlphaSense, Cadmium, Condé Nast, Healx, Mulberry, Originate, Quill, RESEMBLE.AI, Whatnot, and Square.
Spell’s CEO and co-founder, Serkan Piantino said:
“The rapid growth of the Spell user community is a gratifying validation of our vision for democratizing deep learning through a comprehensive, transparent platform for enabling and accelerating the successful adoption of advanced AI across a broad range of industries and use cases. And we are just getting started.”
