MLOps

ValohAI

Valohai is a platform that helps businesses manage machine learning models easily.

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ValohAI screenshot

Overview

Valohai is a powerful platform designed for managing machine learning workflows. It streamlines the process of building, training, and deploying models by providing a user-friendly interface. With Valohai, teams can focus more on the data and less on the technology, making machine learning accessible to everyone.

One of the main features of Valohai is its ability to automate many tedious tasks involved in machine learning. This includes things like version control for models and seamless scaling of resources. By automating these processes, Valohai helps organizations save time and reduce errors, which is essential in a fast-paced industry.

Additionally, Valohai supports collaboration among team members. Users can share insights, monitor experiments, and reproduce results more easily. This makes it a suitable tool for companies of all sizes looking to enhance their machine learning projects and achieve quicker results without getting bogged down by complexities.

Pricing

PlanPrice
Valohai PrivateContact Us (1 User per month)
Valohai Self-HostedContact Us (1 User per month)
Valohai SaaSContact Us (1 User per month)

Key features

Model Versioning

Keeps track of changes made to your models, allowing you to revert to previous versions if needed.

Experiment Tracking

Helps you monitor different experiments and their outcomes, giving insights into what works best.

Automated Data Pipelines

Streamlines the process of collecting, cleaning, and preparing data for training.

Scalability

Easily scale your resources up or down based on project needs without hassle.

Collaboration Tools

Provides features that allow team members to work together more effectively and share results.

Integration Options

Connects with other tools and platforms, making it flexible for various workflows.

User-friendly Interface

Designed to be simple and easy to use, even for those who are new to machine learning.

Cloud Support

Lets you run your models on the cloud, so you can work from anywhere.

Pros & Cons

Pros

  • Time-saving Automation
  • Easy to Use
  • Effective Collaboration
  • Robust Features
  • Cloud Flexibility

Cons

  • Learning Curve
  • Pricing
  • Dependency on Internet
  • Limited Offline Functionality
  • Complex Integrations

Feature Ratings

Based on real user reviews, here's how users rate different features of this product.

Deployment

Language Flexibility

Allows users to input models built in a variety of languages.

Framework Flexibility94%

Allows users to choose the framework or workbench of their preference. This feature was mentioned in 13 Valohai reviews.

Based on 13 reviews
Versioning96%

Records versioning as models are iterated upon. 13 reviewers of Valohai have provided feedback on this feature.

Based on 13 reviews
Ease of Deployment92%

As reported in 12 Valohai reviews. Provides a way to quickly and efficiently deploy machine learning models.

Based on 12 reviews
Scalability94%

Offers a way to scale the use of machine learning models across an enterprise. This feature was mentioned in 13 Valohai reviews.

Based on 13 reviews
Language Flexibility96%

Allows users to input models built in a variety of languages. This feature was mentioned in 12 Valohai reviews.

Based on 12 reviews
Framework Flexibility97%

Allows users to choose the framework or workbench of their preference. 13 reviewers of Valohai have provided feedback on this feature.

Based on 13 reviews
Versioning97%

Records versioning as models are iterated upon. This feature was mentioned in 12 Valohai reviews.

Based on 12 reviews
Ease of Deployment93%

Provides a way to quickly and efficiently deploy machine learning models. This feature was mentioned in 12 Valohai reviews.

Based on 12 reviews
Scalability96%

Offers a way to scale the use of machine learning models across an enterprise. This feature was mentioned in 13 Valohai reviews.

Based on 13 reviews

Management

Cataloging88%

Records and organizes all machine learning models that have been deployed across the business. 11 reviewers of Valohai have provided feedback on this feature.

Based on 11 reviews
Monitoring96%

Tracks the performance and accuracy of machine learning models. 12 reviewers of Valohai have provided feedback on this feature.

Based on 12 reviews
Governing90%

Provisions users based on authorization to both deploy and iterate upon machine learning models. 10 reviewers of Valohai have provided feedback on this feature.

Based on 10 reviews
Model Registry90%

As reported in 12 Valohai reviews. Allows users to manage model artifacts and tracks which models are deployed in production.

Based on 12 reviews
Cataloging89%

Records and organizes all machine learning models that have been deployed across the business. This feature was mentioned in 12 Valohai reviews.

Based on 12 reviews
Monitoring97%

Tracks the performance and accuracy of machine learning models. 12 reviewers of Valohai have provided feedback on this feature.

Based on 12 reviews
Governing89%

Provisions users based on authorization to both deploy and iterate upon machine learning models. This feature was mentioned in 11 Valohai reviews.

Based on 11 reviews

Operations

Metrics91%

Control model usage and performance in production 13 reviewers of Valohai have provided feedback on this feature.

Based on 13 reviews
Infrastructure management92%

As reported in 13 Valohai reviews. Deploy mission-critical ML applications where and when you need them

Based on 13 reviews
Collaboration95%

Easily compare experiments—code, hyperparameters, metrics, predictions, dependencies, system metrics, and more—to understand differences in model performance. 13 reviewers of Valohai have provided feedback on this feature.

Based on 13 reviews

Rating Distribution

5
25 (100.0%)
4
0 (0.0%)
3
0 (0.0%)
2
0 (0.0%)
1
0 (0.0%)

Screenshots

4.9
Based on 25 reviews
Claudia L. P.Data ScientistEnterprise(> 1000 emp.)
December 5, 2023

Indispensable tool for collaboration on ML projects

What do you like best about Valohai?

The Valohai platform truely enables collaboration by ensuring transparency and traceablilty of data and models and by being fully integrated into version control.

- The whole team can access and inspect experiments.

- Changes can be easily implemented and tested.

- Individual executions are highly customizable, allowing efficient and ECONOMICAL resource use.

- Ability to reuse "good" or unchanged steps in a pipeline; saves time!

- Comprehensive documentation making it very easy to get your first implementation up and running.

- Incredible flexibility and outstanding customer support... if I ever had trouble getting something to run, the solution was only a quick chat, personalized video, or one-on-one debug session away.

Valohai is now my daily go-to platform for ML projects.

What do you dislike about Valohai?

Sometimes debugging a Valohai-specific feature can inflate your git commit history... when hunting down the ever-elusive one character bug. But thanks to that I learned about git squash! So really no problem in the end :D

What problems is Valohai solving and how is that benefiting you?

Being able to collaborate transparently on an ML project with a team of Data Scientists. Several people have the knowledge to modify and contribute to the "nuts and bolts" of the project and Valohai enables us to trace and carefully inspect how and which changes affect the model outcome. It is a GREAT tool for collaboration!

Read full review on G2 →
Colin B.Mid-Market(51-1000 emp.)
December 18, 2023

Easy to use and flexible

What do you like best about Valohai?

Valohai has a relativel y shallow learning curve which makes getting off the ground easy. From there, implementing our ideas has been straightforward with only minimal help needed. Speaking of help, a member of their staff has been with us every step of the way t...

Read full review on G2 →
Ines P.Enterprise(> 1000 emp.)
November 1, 2023

A pragmatic choice for MLOps

What do you like best about Valohai?

The platform is very straightforward and easy to use, and the UI is accessible to a wide range of users regardless of their technical expertise. It's easy to get started and learning its intricacies doesn't take long at all. Just write some yaml, store some envir...

Read full review on G2 →
Pedro F.Enterprise(> 1000 emp.)
November 6, 2023

Simplify MlOps with Valohai

What do you like best about Valohai?

- Easy to use, understand and setup either recurring to the UI or the command line tools

- Very good documentation

- Excellent customer support, always eager to improve in the smallest of details

- Flexible and easy to integrate with other solutions such as HF, W...

Read full review on G2 →
Tingting D.Mid-Market(51-1000 emp.)
December 18, 2023

great platform

What do you like best about Valohai?

It is very easy to use and has a straightforward UI. Valohai makes building pipelines an easy and enjoyable process. Most importantly, the support from the Valohai team is amazing. They are responsive and friendly.

What do you dislike about Valohai?

Nothing enco...

Read full review on G2 →

Company Information

LocationSan Francisco, CA
Founded2016
Employees30
Twitter@valohaiai
LinkedInView Profile

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FAQ

Here are some frequently asked questions about ValohAI.

Valohai is a platform for managing machine learning models and workflows.

It automates tasks, tracks experiments, and improves team collaboration.

Yes, it has a user-friendly interface that is designed for all skill levels.

Yes, Valohai supports various integrations with other platforms.

Valohai is cloud-based, so you mainly need an internet connection and a supported browser.

Yes, Valohai provides resources and support to help new users get started.

Valohai requires an internet connection as it primarily operates in the cloud.

Valohai typically offers a free trial, allowing users to test its features before committing.