Watch our CTO - Moses Guttmann discuss the challenges of machine learning development and give an overview of Allegro Trains - an open source ML / DL experiment manager, versioning and ML-Ops full system solution.

Allegro Trains is an open source ML / DL experiment manager, versioning and ML-Ops full system solution.

Trains MLOps best practices Allegro Trains is an open source machine and deep learning (ML / DL) experiment manager, versioning and ML-Ops full system solution for data science and data engineering teams and projects.

"Trains Server deployment tutorial on Linux Allegro Trains is an open source machine and deep learning (ML / DL) experiment manager, versioning and ML-Ops full system solution for data science and data engineering teams and projects.

An Overview of Allegro Trains experiment comparison Allegro Trains is an open source machine and deep learning (ML / DL) experiment manager, versioning and ML-Ops full system solution for data science and data engineering teams and projects.

One of the most important aspects of deep learning is the quality and quantity of the data used in the learning process. In this video Moses Guttmann, the CTO and co-founder of Allegro AI,  explores the challenges and offers approaches to solve it.

Short overview of the high level problem descriptions that Allegro AI addresses and how it helps its customers solve these challenges. Presentation is from the IBM AlphaZone summary conference. January 2020

Nir Bar-lev, CEO & Co-founder of Allegro AI introduces how Allegro AI helps its customers with computer vision, leveraging deep learning. A presentation from The Bridge VI Showcase in Atlanta, Sept 2019.

Allegro AI and NetApp Partner Chat with Nir Bar-lev, Founder and CEO of Allegro AI. Topic: Architecture Considerations for Federating ML & DL Data Pipelines Presenting at Nvidia GTC 2019 Conference

In this video Catherine K.C. Leung, the Co-Founder & General Partner at MizMaa Ventures discuss the global AI market and Allegro AI. Allegro AI announced that it has closed a fundraising round, led by MizMaa Ventures, with participation from Robert Bosch Venture Capital GmbH (RBVC), Samsung Catalyst Fund and Dynamic Loop Capital.