Actionable Model Catalog

At Datatron, we make the life of Data Scientists easy. With our reliable Model Catalog, models are versioned, tagged, and found easily.

ai model library

Datatron bridges the gap between Data Scientists and DevOps. Once models land in the model catalog, DevOps has all the information they need in one convenient place.

Import Models within Seconds

  • Powerful support for any model from any framework
  • Simple yet reliable connections to your model registry
  • Intuitive interface that bridges teams seamlessly

Manage Models with Ease

  • Powerful model versioning system available by default
  • Transparent model visualization paired to customized teams
  • Manage models at scale via flexible features

Reliable Model Availability is Our Promise

  • 24/7 services with no down time
  • Reliable cataloging that keep your business assets safe
  • Versatile support to connect models beyond servers and entities

Model Catalog Overview

Feature: Centralized model management in one place

Benefit: The only place Data Scientists need to manage. DevOps have all the information from the catalog they need to proceed with deployment

Model Registry & Versioning

Feature: Version control

Benefit: Always know which models have been used in the past, and retain access to reuse any past model

Model Repository Connection:

Feature: Connector to customer’s model registry

Benefit: Simple and safe connection to existing model registry

Quick Deployment Pipelines:

Feature: Fast-track from model upload to deployment

Benefit: Guided, single-stop deployment from end-to-end for MLOps/Model Ops teams

Model Search & Tagging

Feature: Mechanics for model searching and categorizing

Benefit: Easy to find any model or any group of models

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Datatron 3.0 Product Release – Enterprise Feature Enhancements

Streamlined features that improve operational workflows, enforce enterprise-grade security, and simplify troubleshooting.

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Datatron 3.0 Product Release – Simplified Kubernetes Management

Eliminate the complexities of Kubernetes management and deploy new virtual private cloud environments in just a few clicks.

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Datatron 3.0 Product Release – JupyterHub Integration

Datatron continues to lead the way with simplifying data scientist workflows and delivering value from AI/ML with the new JupyterHub integration as part of the “Datatron 3.0” product release.

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Success Story: Global Bank Monitors 1,000’s of Models On Datatron

A top global bank was looking for an AI Governance platform and discovered so much more. With Datatron, executives can now easily monitor the “Health” of thousands of models, data scientists decreased the time required to identify issues with models and uncover the root cause by 65%, and each BU decreased their audit reporting time by 65%.

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Success Story: Domino’s 10x Model Deployment Velocity

Domino’s was looking for an AI Governance platform and discovered so much more. With Datatron, Domino’s accelerated model deployment 10x, and achieved 80% more risk-free model deployments, all while giving executives a global view of models and helping them to understand the KPI metrics achieved to increase ROI.

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5 Reasons Your AI/ML Models are Stuck in the Lab

AI/ML Executive need more ROI from AI/ML? Data Scientist want to get more models into production? ML DevOps Engineer/IT want an easier way to manage multiple models. Learn how enterprises with mature AI/ML programs overcome obstacles to operationalize more models with greater ease and less manpower.

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Your AI Program Deserves Liberation.
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Our Latest *** RELEASE ***

Datatron 3.0

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Datatron continues to innovate and improve data scientist workflows with our latest release, which includes a JupyterHub Integration, Kubernetes Management and more Enterprise-grade features.

See the Release Notes!