The 10 Hottest Data Science And Machine Learning Startups of 2021 (So Far)
Businesses looking to bring the rewards of big data analysis to everyday users need ways to prepare and organize data and develop machine learning models for analyzing it. Here’s a look at 10 hot startups developing leading-edge data science and machine learning technologies that help them do that.
Top Executive: Serkan Piantino, Co-Founder and CEO
Headquarters: New York
Spell.ml develops a machine learning platform for deep learning operations (DLOps) that the company says goes beyond traditional machine learning with its capabilities for preparing, training, deploying and managing the full lifecycle of machine learning and deep learning models.
Deep learning is a segment of the machine learning world that incorporates complex learning models that rely on AI-based neural networks and is often used for complex tasks such as image recognition and natural language processing. Deep learning models are compute-intensive and often require high-performance systems running on GPUs and next-generation AI processors.
Spell.ml, founded in 2017, says its cloud-agnostic platform can help reduce the costs of deep learning model development. In addition to customers such as Square, Healx and Conde Nast, Spell.ml is teaming up with systems integrators with deep learning practices and application developers building deep learning-driven software.