Audience

AI Companies, startups

About KitOps

KitOps is a packaging, versioning, and sharing system for AI/ML projects that uses open standards so it works with the AI/ML, development, and DevOps tools you are already using, and can be stored in your enterprise container registry. It's AI/ML platform engineering teams' preferred solution for securely packaging and versioning assets.

KitOps creates a ModelKit for your AI/ML project which includes everything you need to reproduce it locally or deploy it into production. You can even selectively unpack a ModelKit so different team members can save time and storage space by only grabbing what they need for a task. Because ModelKits are immutable, signable, and live in your existing container registry they're easy for organizations to track, control, and audit.

Pricing

Free Version:
Free Version available.

Integrations

No integrations listed.

Ratings/Reviews

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Company Information

KitOps
Founded: 2024
Canada
kitops.ml

Videos and Screen Captures

Get Started
Other Useful Business Software
Build Agents and Models on One Platform Icon
Build Agents and Models on One Platform

Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.

Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
Start Free

Product Details

Platforms Supported
Windows
Mac
Linux

KitOps Frequently Asked Questions

Q: What kinds of users and organization types does KitOps work with?
Q: What languages does KitOps support in their product?

KitOps Product Features

DevOps

Approval Workflow Not Supported
Dashboard Not Supported
KPIs Not Supported
Policy Management Not Supported
Portfolio Management Not Supported
Prioritization Not Supported
Release Management Not Supported
Timeline Management Not Supported
Troubleshooting Reports Not Supported

Machine Learning

Deep Learning Not Supported
ML Algorithm Library Not Supported
Model Training Not Supported
Natural Language Processing (NLP) Not Supported
Predictive Modeling Not Supported
Templates Not Supported
Visualization Not Supported
Statistical / Mathematical Tools Not Supported