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Top jKool Alternatives, Competitors & Similar Software

Founded 2014

Find 20 competitors in the Data Science and Machine Learning Platforms. Compare other SaaS such as Datylon, Datylon and Journey Foods. These jKool competitors have raised $44.7M and together serve more than - customers and employ over 146 team members.

Compare jKool with Datylon
1
Datylon

Data Science and Machine Learning Platforms

Provider of a infographics management platform. The company develops a platform that enables designers, developers and data analysts to create, embed and share reports and infographics.

Revenue
$741.9K
Customers
-
Year founded
2013
Funding
-
Team size
5
Location
Germany
Compare jKool with Datylon
2
Datylon

Data Science and Machine Learning Platforms

Provider of a infographics management platform. The company develops a platform that enables designers, developers and data analysts to create, embed and share reports and infographics.

Revenue
$741.9K
Customers
-
Year founded
2013
Funding
-
Team size
5
Location
Germany
Compare jKool with Journey Foods
3
Journey Foods

Data Science and Machine Learning Platforms

Our goal is simple: change food science inefficiencies and problematic supply chains in order to feed 8 billion people better. We are made up as a team of food explorers, scientists, and machine learning experts working together to deploy an industry-leading data science platform to achieve this mission. Journey Foods is a software company that offers an integrative platform for food companies to effectively manage and launch products and ingredients. Our software enables food companies to manage from new idea to commercialization in the global 3 trillion dollar packaged foods market. Our team retains an extensive and standardized database to extract data from millions of ingredients and nutrients for our algorithms to analyze and methodically investigate optimized formulations based on sustainable supply chains, nutrition, and several other key considerations. To date, we've established a database comprised of over 1 Billion ingredient insights.

Revenue
$741K
Customers
-
Year founded
2018
Funding
$2.5M
Team size
5
Location
United States
Compare jKool with Journey Foods
4
Journey Foods

Data Science and Machine Learning Platforms

Our goal is simple: change food science inefficiencies and problematic supply chains in order to feed 8 billion people better. We are made up as a team of food explorers, scientists, and machine learning experts working together to deploy an industry-leading data science platform to achieve this mission. Journey Foods is a software company that offers an integrative platform for food companies to effectively manage and launch products and ingredients. Our software enables food companies to manage from new idea to commercialization in the global 3 trillion dollar packaged foods market. Our team retains an extensive and standardized database to extract data from millions of ingredients and nutrients for our algorithms to analyze and methodically investigate optimized formulations based on sustainable supply chains, nutrition, and several other key considerations. To date, we've established a database comprised of over 1 Billion ingredient insights.

Revenue
$741K
Customers
-
Year founded
2018
Funding
$2.5M
Team size
5
Location
United States
Compare jKool with Journey Foods
5
Journey Foods

Data Science and Machine Learning Platforms

Our goal is simple: change food science inefficiencies and problematic supply chains in order to feed 8 billion people better. We are made up as a team of food explorers, scientists, and machine learning experts working together to deploy an industry-leading data science platform to achieve this mission. Journey Foods is a software company that offers an integrative platform for food companies to effectively manage and launch products and ingredients. Our software enables food companies to manage from new idea to commercialization in the global 3 trillion dollar packaged foods market. Our team retains an extensive and standardized database to extract data from millions of ingredients and nutrients for our algorithms to analyze and methodically investigate optimized formulations based on sustainable supply chains, nutrition, and several other key considerations. To date, we've established a database comprised of over 1 Billion ingredient insights.

Revenue
$741K
Customers
-
Year founded
2018
Funding
$2.5M
Team size
5
Location
United States
Compare jKool with Formisimo
6
Formisimo

Data Science and Machine Learning Platforms

Provider of an online form analytics services intended to measures and analyses consumer behaviour in online checkouts and online forms. The company's online form analytics services uses machine learning to optimise website conversions engage customers in real-time before they abandon the form, enabling clients to tackle the problem of web forms/online checkouts that go unfilled because of factors, such as confusingly worded questions, layout or formatting errors, and rogue auto-filling wreaking havoc

Revenue
$744.5K
Customers
-
Year founded
2014
Funding
-
Team size
4
Location
United Kingdom
Compare jKool with Formisimo
7
Formisimo

Data Science and Machine Learning Platforms

Provider of an online form analytics services intended to measures and analyses consumer behaviour in online checkouts and online forms. The company's online form analytics services uses machine learning to optimise website conversions engage customers in real-time before they abandon the form, enabling clients to tackle the problem of web forms/online checkouts that go unfilled because of factors, such as confusingly worded questions, layout or formatting errors, and rogue auto-filling wreaking havoc

Revenue
$744.5K
Customers
-
Year founded
2014
Funding
-
Team size
4
Location
United Kingdom
Compare jKool with Reynen Court
8
Reynen Court

Data Science and Machine Learning Platforms

Reynen Court enables law firms and corporate legal departments to speed their adoption of AI and other new technologies.

Revenue
$740K
Customers
-
Year founded
2018
Funding
$22.1M
Team size
5
Location
Netherlands
Compare jKool with CoverMe
9
CoverMe

Data Science and Machine Learning Platforms

CoverMe is an advanced SaaS application designed specifically for hospitals and long-term care providers. Leveraging AI technologies, proprietary rules, and risk engines, CoverMe offers real-time program eligibility decisions and seamless document creation. This powerful platform streamlines the process of determining program eligibility and generates ready-to-use documents, enhancing operational efficiency and reducing administrative burdens. With CoverMe, healthcare providers can make informed decisions quickly and effortlessly, improving patient care and optimizing resource allocation.

Revenue
$739.9K
Customers
-
Year founded
2018
Funding
-
Team size
11
Location
United States
Compare jKool with Quantibly
10
Quantibly

Data Science and Machine Learning Platforms

Quantibly is a data and analytics company in the United States. They provide impact data and analytics solutions.

Revenue
$745.7K
Customers
-
Year founded
2015
Funding
$540K
Team size
15
Location
United States
Compare jKool with Quantibly
11
Quantibly

Data Science and Machine Learning Platforms

Quantibly is a data and analytics company in the United States. They provide impact data and analytics solutions.

Revenue
$745.7K
Customers
-
Year founded
2015
Funding
$540K
Team size
15
Location
United States
Compare jKool with Supergrain
12
Supergrain

Data Science and Machine Learning Platforms

Data, Enterprise, SaaS - Data infrastructure to power modern business intelligence tools and data applications.

Revenue
$739.3K
Customers
-
Year founded
2021
Funding
$6.8M
Team size
4
Location
United States
Compare jKool with Supergrain
13
Supergrain

Data Science and Machine Learning Platforms

Data, Enterprise, SaaS - Data infrastructure to power modern business intelligence tools and data applications.

Revenue
$739.3K
Customers
-
Year founded
2021
Funding
$6.8M
Team size
4
Location
United States
Compare jKool with Omni Labs
14
Omni Labs

Data Science and Machine Learning Platforms

Provider of a marketing automation platform intended to help brands automate the manual tasks required to aggregate and visualize their digital marketing data. The company's marketing automation platform permits marketers to solve complex questions without having to learn anything new and it gathers and analyzes data across multiple platforms to construct the most effective cross-media campaigns, enabling marketers to get the most out of their budgets with a heavy data-driven approach to marketing.

Revenue
$747.3K
Customers
-
Year founded
2015
Funding
-
Team size
9
Location
United States
Compare jKool with Omni Labs
15
Omni Labs

Data Science and Machine Learning Platforms

Provider of a marketing automation platform intended to help brands automate the manual tasks required to aggregate and visualize their digital marketing data. The company's marketing automation platform permits marketers to solve complex questions without having to learn anything new and it gathers and analyzes data across multiple platforms to construct the most effective cross-media campaigns, enabling marketers to get the most out of their budgets with a heavy data-driven approach to marketing.

Revenue
$747.3K
Customers
-
Year founded
2015
Funding
-
Team size
9
Location
United States
Compare jKool with Omni Labs
16
Omni Labs

Data Science and Machine Learning Platforms

Provider of a marketing automation platform intended to help brands automate the manual tasks required to aggregate and visualize their digital marketing data. The company's marketing automation platform permits marketers to solve complex questions without having to learn anything new and it gathers and analyzes data across multiple platforms to construct the most effective cross-media campaigns, enabling marketers to get the most out of their budgets with a heavy data-driven approach to marketing.

Revenue
$747.3K
Customers
-
Year founded
2015
Funding
-
Team size
9
Location
United States
Compare jKool with MLJAR
17
MLJAR

Data Science and Machine Learning Platforms

The mljar provides the state of the art performance binary, multiclass classification, and regression.

Revenue
$747.9K
Customers
-
Year founded
2016
Funding
-
Team size
7
Location
Poland
Compare jKool with MLJAR
18
MLJAR

Data Science and Machine Learning Platforms

The mljar provides the state of the art performance binary, multiclass classification, and regression.

Revenue
$747.9K
Customers
-
Year founded
2016
Funding
-
Team size
7
Location
Poland
Compare jKool with BeastBI GmbH
19
BeastBI GmbH

Data Science and Machine Learning Platforms

We at BeastBI GmbH help companies to tame the online marketing jungle and the challenges they face during the exploration and daily work in this rough environment. We deliver high-quality SaaS solutions that are customizable to the needs of every business. Our focus is the Google AdWords, Facebook & Instagram bidding to reduce manual work and help businesses to focus on the tasks they are good at. This way the manual work is reduced to creative tasks and new ideas. To shape our vision of an SAP for Online Marketing we also created human-like chatbots for social media to support social media teams and also to more easily engage with users. To give our customers 100% transparency how we and their accounts perform we deliver easy to understand and beautiful reports on daily/weekly/monthly basis. To give our customers an outlook on future possibilities we also deliver deep analysis like cohorts or attributions. This way businesses understand how their customers behave on the way to the

Revenue
$737.1K
Customers
-
Year founded
2017
Funding
$212.4K
Team size
9
Location
Germany
Compare jKool with BeastBI GmbH
20
BeastBI GmbH

Data Science and Machine Learning Platforms

We at BeastBI GmbH help companies to tame the online marketing jungle and the challenges they face during the exploration and daily work in this rough environment. We deliver high-quality SaaS solutions that are customizable to the needs of every business. Our focus is the Google AdWords, Facebook & Instagram bidding to reduce manual work and help businesses to focus on the tasks they are good at. This way the manual work is reduced to creative tasks and new ideas. To shape our vision of an SAP for Online Marketing we also created human-like chatbots for social media to support social media teams and also to more easily engage with users. To give our customers 100% transparency how we and their accounts perform we deliver easy to understand and beautiful reports on daily/weekly/monthly basis. To give our customers an outlook on future possibilities we also deliver deep analysis like cohorts or attributions. This way businesses understand how their customers behave on the way to the

Revenue
$737.1K
Customers
-
Year founded
2017
Funding
$212.4K
Team size
9
Location
Germany
Top jKool Alternatives, Competitors & Similar Software | GetLatka