---
title: "Valohai Software Pricing, Alternatives & More 2026 | Capterra"
description: "With the help of Capterra, learn about Valohai Software - reviews, pricing plans, popular comparisons to other Deep Learning products and more."
source_url: "https://www.capterra.com/p/179657/Valohai/"
page_type: "product"
language: "en"
---

# 

 Valohai Software Review 2026: Features, Integrations, Pros & Cons

Last updated on September 16, 2026

Provider data verified by our Software Research team, and reviews moderated by our Reviews Verification team.

[Description](#description)[Use cases](#use-cases)[Alternatives](#alternatives)[FAQs](#faqs)[Features](#features)[Pricing](#pricing)[Integrations](#integrations)[Support](#support)[Reviews](#reviews)

Valohai

## What is Valohai?

Valohai is the MLOps platform purpose-built for ML Pioneers, giving them everything they've been missing, in one platform that just makes sense. Now they run thousands of experiments at the click of a button – creating data they trust. All while using the tools they love to build things to last. And with Valohai, ML teams easily collaborate on anything from models to metrics. Allowing ML Pioneers to build faster and deliver stronger products to the world.

## What is Valohai used for?

[Deep Learning](https://www.capterra.com/deep-learning-software/)[Machine Learning](https://www.capterra.com/machine-learning-software/)

Overall rating

Based on 8 user reviews

Reviews sentiment

Positive

\-

Neutral

\-

Negative

\-

Starting price

$350

Per User, Per Month

Free trial  
available

Free version not included

Capterra Shortlist charts the highest-rated and most popular products...

Our "Best of" badge program showcases products with the highest ratings...

Our "Best of" badge program showcases products with the highest ratings...

Do you work for Valohai?[Manage this product listing](https://www.g2.com/products/valohai/claim_requests/new?auto=true)

## Compare with a popular alternative

Capterra selects software alternatives based on relevant features, verified user reviews and user interactions. Placement may be influenced by client status.

### Valohai

4.8 (8)

VS.

[### Anaconda](https://www.capterra.com/p/191760/Anaconda/)

[4.6 (87)](https://www.capterra.com/p/191760/Anaconda/reviews/)

Starting Price

$350

Per User, Per Month

Starting Price

Contact vendor

Free Trial

Free Version

Pricing Options

Free Trial

Free Version

Ease Of Use

4.8 (8)

Ease Of Use

4.4 (87)

Value For Money

4.8 (6)

Value For Money

4.6 (59)

Customer Service

5.0 (8)

Customer Service

4.0 (53)

## Valohai alternatives

[Labellerr](https://www.capterra.com/p/201456/Labellerr/)

[4.6 (17)](https://www.capterra.com/p/201456/Labellerr/reviews/)

Starting price

$1000.00

Per User, Per Month

Pricing Options

Free Trial

Free Version

User Rating

94%

of reviewers

rated it above 4 stars

[Learn More](https://www.capterra.com/p/201456/Labellerr/)

[Wolfram Mathematica](https://www.capterra.com/p/171048/Wolfram-Mathematica/)

[4.6 (169)](https://www.capterra.com/p/171048/Wolfram-Mathematica/reviews/)

Starting price

$335.00

Per User, Per Month

Pricing Options

Free Trial

Free Version

User Rating

95%

of reviewers

rated it above 4 stars

[Learn More](https://www.capterra.com/p/171048/Wolfram-Mathematica/)

Highest Rated

[DataRobot](https://www.capterra.com/p/179303/DataRobot/)

[4.8 (5)](https://www.capterra.com/p/179303/DataRobot/#reviews)

Starting price

Contact vendor for pricing

Pricing Options

Free Trial

Free Version

User Rating

100%

of reviewers

rated it above 4 stars

[Learn More](https://www.capterra.com/p/179303/DataRobot/)

[H2O](https://www.capterra.com/p/158760/H2O/)

[4.6 (10)](https://www.capterra.com/p/158760/H2O/reviews/)

Starting price

Contact vendor for pricing

Pricing Options

Free Trial

Free Version

User Rating

100%

of reviewers

rated it above 4 stars

[Learn More](https://www.capterra.com/p/158760/H2O/)

## FAQs about Valohai

Overview

### What company size and specific industries is Valohai built for?

Valohai is designed for data scientists and machine learning teams across small businesses, mid-market companies, and enterprises. It is suited for organizations in any industry that run machine learning projects and need a platform built for technical teams working with data and model workflows.

Features and Usability

### What are the key features of Valohai?

Valohai offers machine learning workflow features such as model training, monitoring, version control, and configurable workflows. It also includes data capture and transfer, data profiling, data mapping, and real-time monitoring. Additional capabilities cover predictive analytics, deep learning, natural language processing, visual analytics, and third-party integrations.

Integrations

### Which third-party tools and platforms does Valohai integrate with?

Valohai connects natively to Microsoft Azure.

Getting Started and Support

### What training and onboarding options does Valohai offer?

Valohai provides in person training, live online sessions, webinars, documentation, and videos. These formats give teams options for guided instruction, virtual learning, scheduled presentations, and self-paced reference materials when getting started with the platform.

Getting Started and Support

### What customer support options does Valohai offer?

Valohai provides email/help desk, FAQ/forum, knowledge base, phone support, and 24/7 live rep support. No reviewer feedback about support is available here, so user experience details such as response speed, helpfulness, or common issues cannot be described from the catalog data.

## Features

AI summary

Based on 307 Deep Learning reviews

Capterra data shows that buyers of Machine Learning software rank the following features as their top priorities:

-   **Model Training** (**48%** of reviewers rated this feature as critical)
-   **Third-Party Integrations** (**50%**)
-   **Predictive Analytics** (**55%**)

Valohai supports all three of the features reviewers consider most important: **Model Training**, **Third-Party Integrations**, and **Predictive Analytics**. Together, these capabilities help businesses train and refine models, connect workflows with other tools, and generate forward-looking insights from data, allowing teams to build, deploy, and improve machine learning initiatives more efficiently.

Activity Tracking

Track and document all activities across devices, networks, and other systems

Algorithm

Continuously improves and adapts to new data using specified algorithms.

API

Application programming interface that allows for integration with other systems/databases

Artificial Neural Networks

Networks with interconnected neural units, including MLPs, CNNs, DNNs, RNNs, etc.

Compliance Management

Track and manage adherence to policies for any service, product, process, or supplier

Configurable Workflow

Configure existing workflows to meet your organization's needs

Valohai 30 features

### All Features
- Activity Tracking: Track and document all activities across devices, networks, and other systems
- Algorithm: Continuously improves and adapts to new data using specified algorithms.
- API: Application programming interface that allows for integration with other systems/databases
- Artificial Neural Networks: Networks with interconnected neural units, including MLPs, CNNs, DNNs, RNNs, etc.
- Compliance Management: Track and manage adherence to policies for any service, product, process, or supplier
- Configurable Workflow: Configure existing workflows to meet your organization's needs
- Configuration Management: Identify component attributes like servers, hardware, software, and manage relationships across all services
- Data Capture and Transfer: Import, collect, and capture data from multiple sources
- Data Extraction: Automatically retrieve and pull information from documents, websites, images, data sets, and other sources
- Data Profiling: Examines, analyzes, and organizes data to create relevant summaries or graphs.
- Data Visualization: Graphical representation of data
- Deep Learning: Artificial neural networks using multiple layers of processing are used to extract progressively higher level features from data.
- Document Classification: Assign categories, labels, tags, or attributes to documents for organization, search and storage
- Image Analysis: Evaluating and identifying the fundamental components in an image for extracting medical information.
- Integration: Integrate with a variety of data sources, such as guest wifi, customer data platforms, visitor counters, POS systems, and third-party data sources.
- ML Algorithm Library: Share, track, and store machine learning models and data.
- Model Training: Process of testing an ML algorithm by feeding it training data to learn from
- Monitoring: Observe and track the demand, usage, progress or quality of a system, product, or user
- Natural Language Processing: Process and analyze human language in text or audio form
- Neural Network Modeling: A classification and/or predictive modeling technique used for data analysis
- Predictive Analytics: Predict future data based on historical data sets
- Predictive Modeling: Analyzing historical and current data and generating a model to help predict future outcomes.
- Progress Tracking: Reporting on how each user, task or process has advanced since its initiation
- Real-Time Data: Receive data and information in real time
- Real-Time Monitoring: Active monitoring of systems, applications, or networks
- Self-paced Learning: Identifying your own learning needs, setting goals, finding the necessary resources, and evaluating your own knowledge
- Third-Party Integrations: Set up connections to third-party platforms to improve business processes
- Version Control: Track revisions and updates made to files and navigate between different versions
- Visual Analytics: Interact with data visualization elements, such as charts and graphs, to drill down into data
- Visualization: Graphical representation of data or processes

---

Get Advice

We can help you find the software with the features you need.

Features

4.3 (8)

4.3

Based on 8 reviews

## Pricing

Value for money

4.8 (6)

Free Trial

Basic

$350.00

Per User,Per Month

Value for money

4.8 (6)

4.8

Based on 6 reviews

## Integrations

[

Microsoft Azure](https://www.capterra.com/p/16365/Azure/)

Connect with a Capterra advisor for a free 15-minute consultation

Get a personalized software list aligned to your business needs with guidance from our expert advisors. Our team has helped 1 million+ businesses like yours find options that fit their needs.

## Support, customer service and training options

Customer Service

5.0 (8)

Support

-   Email/Help Desk
-   FAQs/Forum
-   Knowledge Base
-   Phone Support
-   24/7 (Live rep)
-   Chat

Training

-   In Person
-   Live Online
-   Webinars
-   Documentation
-   Videos

Deployment

-   Web
-   Android
-   iPhone/iPad

Typical users

-   Freelancers
-   Small businesses
-   Mid size businesses
-   Enterprises

Customer Service

5.0 (8)

5.0

Based on 8 reviews

## User reviews

Overall rating

4.8

Based on 8 reviews

Filter by rating

5(6)

4(2)

3(0)

2(0)

1(0)

Mentioned topic

Sorted by most recent

Paul P.

CEO

Computer Software

### "Mandatory ML Ops platform for today's ML teams"

5.0

Overall Rating

5.0

5.0

Ease of Use

5.0

5.0

Features

5.0

5.0

Customer Service

5.0

5.0

Likelihood to Recommend

10/10

January 14, 2021

Pros

Valohai helps us streamline our Machine Learning model development. All the features are thoroughly tested and they are very fast in releasing new features requested by the customers. The customer support is stellar and they go above and beyond to get you up and running fast.

Cons

None yet, still looking to find the first bug in their platform.

Review source

Non-incentivized review: any software user can leave a review for any product listed on our site. All submitted reviews are subject to our verification process prior to publication.

ID

Ian D.

TME

Computer Software

### "Valohai makes it easier to keep track of all your model files and experiments"

4.0

Overall Rating

4.0

4.0

Ease of Use

5.0

5.0

Features

2.0

2.0

Customer Service

5.0

5.0

Likelihood to Recommend

10/10

February 25, 2019

Pros

I love how Valohai makes it possible to version control models, model configs, and training data. Their scriptable approach provides the flexibility I need to interface with any number of data platforms, so regardless of whether my training data is in AWS, or Hadoop, or anywhere else, Valohai enables me to capture snapshots of training data so I can always know how my models were derived.

Cons

The primary view that users see in Valohai is basically just a table list of ML experiments. The first impression of Valohai is therefore a little underwhelming. If the primary view had a more sophisticated user experience with more color (like analytics of past experiments), then users would be more likely to have a better first impression.

Review source

Vendor Referred - Incentive Offered: This reviewer was invited by the software vendor to submit an honest review and offered a nominal incentive as a thank you.

RP

Ryan P.

Co-Founder

Computer Software

### "A Great Product for Collaboration, Traceability, and Control"

5.0

Overall Rating

5.0

5.0

Ease of Use

4.0

4.0

Features

5.0

5.0

Customer Service

5.0

5.0

Likelihood to Recommend

9/10

November 13, 2018

The team behind Valohai is excellent! They have helped improve our throughput time, and the tool has helped with traceability for both optimizing our models and rolling-back production models in case of poor results in a deployment.

Pros

Valohai allows us to collaborate with our machine learning code and data sources, as opposed to everything on individual computers with shared copies. In addition, there is a major benefit of traceability by storing each training we run. My favorite thing, though, is the control and monitoring from a web browser, meaning, we can stop/start/re-train executions from a mobile phone, allowing ease of use and flexibility (e.g. I can update a training execution while sitting in a train).

Cons

While I do like that we get plots of our training, such as accuracy or loss, additional plotting functionality could be utilized so we can better decide when to update our hyper-parameters.

Review source

Vendor Referred - Incentive Offered: This reviewer was invited by the software vendor to submit an honest review and offered a nominal incentive as a thank you.

Response from Vendor

November 21, 2018

Thank you! Very much humbled for your kind words!

Ari B.

Head of Data

Human Resources

### "Valohai allows us to adapt the best ML practices and scale"

5.0

Overall Rating

5.0

5.0

Ease of Use

5.0

5.0

Features

4.0

4.0

Customer Service

5.0

5.0

Likelihood to Recommend

10/10

October 18, 2018

Pros

Valohai is a reliable platform for doing ML that works, it is easy to start using it and it is now a key piece of our data stack. We use it to scale our ML models, track experiment versions, performance and models. I can now feel reassured that I can scale to a growing volume of data and on-board new team members easily. The customer support has been excellent!

Cons

I still find it tricky to combine multiple steps and executions into a pipeline with dependencies. I currently rely on Airflow for doing that and thanks to their API I can still hack it myself. I wish there would be a more developed documentation but you can still rely on a fast customer support if you have any question.

Review source

Vendor Referred - Incentive Offered: This reviewer was invited by the software vendor to submit an honest review and offered a nominal incentive as a thank you.

VR

ville R.

machine vision specialist

Computer Software

### "awesome to get started, extreme customizability"

5.0

Overall Rating

5.0

5.0

Ease of Use

4.0

4.0

Features

4.0

4.0

Customer Service

5.0

5.0

Likelihood to Recommend

10/10

October 18, 2018

Deep learning easy training, easy scale up

Pros

No hassle startup, very easy to get help and custom solutions from the staff.

Cons

As a hacker, I would want to get access in the running processes, and files during the jobs run. but allowing that is complicated and has security issues..

Review source

Vendor Referred - Incentive Offered: This reviewer was invited by the software vendor to submit an honest review and offered a nominal incentive as a thank you.

Kyle H.

Tech Lead AI | Machine Learning

Information Technology and Services

### "Perfect for my remote team"

5.0

Overall Rating

5.0

5.0

Ease of Use

5.0

5.0

Features

5.0

5.0

Customer Service

5.0

5.0

Likelihood to Recommend

10/10

October 17, 2018

This is a great product! Keep up the great work Valohai Team.

Pros

1) Training sessions are catalogued; allowing easy replication of experimental results and sharing across many team members, 2) AWS resources are managed for you. No extra time is needed to launch VM instance or 3) AWS pricing is shown immediately after executing and logged on a per-experiment basis. This makes it very simple to bill clients for model training. 4) Valohai support team worked aside us from the beginning to ensure we were running properly 5) Live customer support provided in Slack channel

Cons

When you change between commits during job creation it erases all of your previous form entries. This is inconvenient for users who'd like to use the "Copy" feature to run the exact same parameters but on a more recent commit.

Review source

Vendor Referred - Incentive Offered: This reviewer was invited by the software vendor to submit an honest review and offered a nominal incentive as a thank you.

Response from Vendor

October 25, 2018

Thank you for the review!

ML

Mikael L.

Machine Learning Engineer

Information Technology and Services

### "Great Interface for Scalable Machine Learning Jobs"

4.0

Overall Rating

4.0

4.0

Ease of Use

5.0

5.0

Features

4.0

4.0

Customer Service

5.0

5.0

Likelihood to Recommend

10/10

October 17, 2018

Convenient way to deploy Tensorflow code for shared use between client and internal staff.

Pros

Interface is simple and straightforward; its easy to define jobs using the yaml files and creating jobs is even easier using the we interface. Burning money on AWS has never been so easy :-)

Cons

Sometimes error messages are confusing. Minor interface gaps.

Review source

Vendor Referred - Incentive Offered: This reviewer was invited by the software vendor to submit an honest review and offered a nominal incentive as a thank you.

Response from Vendor

October 19, 2018

Thank you for the high remarks!

AN

Anonymous User

Co-Founder

Information Technology and Services

### "Automated deep learning pipelines"

5.0

Overall Rating

5.0

5.0

Ease of Use

5.0

5.0

Features

5.0

5.0

Customer Service

5.0

5.0

Likelihood to Recommend

10/10

October 17, 2018

Valohai is one of the most production ready DL versioning tools in the market.

Pros

Valohai makes is super easy to build automated deep learning pipelines and handle automatically the version control of the experiments.

Cons

Standalone app with desktop notifications would be nice.

Review source

Vendor Referred - Incentive Offered: This reviewer was invited by the software vendor to submit an honest review and offered a nominal incentive as a thank you.

Response from Vendor

November 12, 2018

Thank you for the awesome review!

[View all Reviews](https://www.capterra.com/p/179657/Valohai/reviews/)

## Top-rated software of 2026

### Fill out the form and we'll send a list of the top-rated software based on real user reviews directly to your inbox.