Best AI & Machine Learning Operationalization Software

Products Buyer's Guide
9.0
UbiOps
★★★★★

UbiOps

If you are a data scientist or engineer, at some point you want to bring your algorithm to production. And that means installing libraries, managing dependencies, deploying your scrips and models, versioning, serving, and running out of compute.Let's be honest: deployment is hard. The tools we use are not as helpful as they could be, because they are not designed for our specific needs. And we lose ourselves in time-consuming model deployments ...

UbiOps enables us to develop, deploy and operate any type of data science code. - User in Construction

Ease of use
Support
Ease of Setup
10.0
cnvrg.io
★★★★★

cnvrg.io

The fastest way from research to production - cnvrg.io is an end to end data science platform that provides everything your team needs. Accelerate time from research to production with an all-in-one ML platform with advanced model management and MLOps, optimized for production.

cnvrg.io at Playtika - User in Entertainment

Ease of use
Support
Ease of Setup
8.8
InRule
★★★★★

InRule

InRule's Decision Platform, including its business rules management system (BRMS), helps IT and business users understand and automate decisions – without code. InRule has been delivering measurable results, including increased productivity, revenue and customer service, to enterprises since 2002.

We implemented InRule BRMS in ZEPPELIN Eurasia and use it together with Dynamics365. - Dmytro G.

Ease of use
8.5
Support
8.7
Ease of Setup
8.3

Languages supported: English

8.8
Algorithmia
★★★★★

Algorithmia

Open marketplace for algorithms, enabling developers to create tomorrow's smart applications today.

Algorithmia - Eliminating the dependency on dev ops - User in Financial Services

Ease of use
9.2
Support
8.7
Ease of Setup
9.1

Languages supported: English

9.0
Valohai
★★★★★

Valohai

Training your models on a massive scale is one thing. Running hundreds of iterations on multiple GPUs in parallel and managing the whole machine learning pipeline effectively is what sets you apart from the competition.

If you have a deep learning project, this is your to-go tool - Zee G.

Ease of use
Support
Ease of Setup

Languages supported: English

7.0
Spell
★★★★★

Spell

The most flexible and powerful end-to-end platform for ML and deep learning engineering.

Spell is an interesting solution for hosting your ML ops in the cloud - Zachary J.

Ease of use
Support
Ease of Setup
0.0
ExB
★★★★★

ExB

ExB offers AI and ML-driven input management, text mining, and cognitive process automation for insurance policy/contract management, medical reports, claim management, and invoices. Customers can utilize pre-trained ready-to-use models, request customized models for specific use cases, or implement the ExB's Cognitive Workbench internally to independently develop and train their own solutions.

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Ease of use
Support
Ease of Setup

Languages supported: German, English

0.0
Dunnhumbly Model Lab
★★★★★

Dunnhumbly Model Lab

dunnhumby Model Lab is an application that provides automated pipelines for deploying machine learning algorithms. When developing models, data scientists go through many steps that are often repetitive and time consuming. Model Lab automates most of the time-consuming steps, allowing data scientists to focus on the modelling phase that delivers value. The product provides automated hyper-parameters tuning, allowing the users to focus on ...

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Ease of use
Support
Ease of Setup
0.0
Veritone Automate Studio
★★★★★

Veritone Automate Studio

Automate Studio helps organizations embarking on intelligent process automation (IPA) and hyper automation initiatives to rapidly deploy AI-powered workflows without heavy coding and AI expertise, and integrate resulting content insights into legacy applications and business processes at scale –– providing them with a steep competitive advantage

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Ease of use
Support
Ease of Setup

Languages supported: English

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