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Top I've Been Vetted Alternatives, Competitors & Similar Software

Founded 2016

Find 20 competitors in the AI & Machine Learning Operationalization (MLOps) Software. Compare other SaaS such as Cloudnosys, Inc., Variantz and Variantz. These I've Been Vetted competitors have raised $95M and together serve more than 100 customers and employ over 649 team members.

Compare I've Been Vetted with Variantz
2
Variantz

AI & Machine Learning Operationalization (MLOps) Software

Variantz is Asia's leading provider of Converged Application Ecosystem Platform for Smart+Connected IoT. Leveraging on AI, our suite of applications are designed to simplify connectivity and improve operational efficiency, delivering a more engaged and adaptive experience for both organizations and consumers. We help organizations, businesses, and consumers realize actionable value of Smart-Connectedness, from unifying data insights and improving operational efficiency, to activating user engagement, saving time and balancing financial returns with most convenience and empathy. Our competency gives us an edge in Device, Application, and Consulting capabilities. Variantz Application Platform seamlessly Connect-Engage-Collaborate across various smart devices and applications, delivering Repeatable, Scalable, Sustainable, Dynamic intelligence that is holistic, predictive, unified, secured, localized and personalized. Variantz is currently focusing on the following markets along with it

Revenue
$3M
Customers
-
Year founded
2016
Funding
-
Team size
8
Location
Singapore
Compare I've Been Vetted with Variantz
3
Variantz

AI & Machine Learning Operationalization (MLOps) Software

Variantz is Asia's leading provider of Converged Application Ecosystem Platform for Smart+Connected IoT. Leveraging on AI, our suite of applications are designed to simplify connectivity and improve operational efficiency, delivering a more engaged and adaptive experience for both organizations and consumers. We help organizations, businesses, and consumers realize actionable value of Smart-Connectedness, from unifying data insights and improving operational efficiency, to activating user engagement, saving time and balancing financial returns with most convenience and empathy. Our competency gives us an edge in Device, Application, and Consulting capabilities. Variantz Application Platform seamlessly Connect-Engage-Collaborate across various smart devices and applications, delivering Repeatable, Scalable, Sustainable, Dynamic intelligence that is holistic, predictive, unified, secured, localized and personalized. Variantz is currently focusing on the following markets along with it

Revenue
$3M
Customers
-
Year founded
2016
Funding
-
Team size
8
Location
Singapore
Compare I've Been Vetted with Variantz
4
Variantz

AI & Machine Learning Operationalization (MLOps) Software

Variantz is Asia's leading provider of Converged Application Ecosystem Platform for Smart+Connected IoT. Leveraging on AI, our suite of applications are designed to simplify connectivity and improve operational efficiency, delivering a more engaged and adaptive experience for both organizations and consumers. We help organizations, businesses, and consumers realize actionable value of Smart-Connectedness, from unifying data insights and improving operational efficiency, to activating user engagement, saving time and balancing financial returns with most convenience and empathy. Our competency gives us an edge in Device, Application, and Consulting capabilities. Variantz Application Platform seamlessly Connect-Engage-Collaborate across various smart devices and applications, delivering Repeatable, Scalable, Sustainable, Dynamic intelligence that is holistic, predictive, unified, secured, localized and personalized. Variantz is currently focusing on the following markets along with it

Revenue
$3M
Customers
-
Year founded
2016
Funding
-
Team size
8
Location
Singapore
Compare I've Been Vetted with Polecat
7
Polecat

AI & Machine Learning Operationalization (MLOps) Software

Provider of an enterprise search and business intelligence platform designed to anticipate reputational risks, monitor trends and identify emerging issues. The company's platform provides business intelligence tool that provides strategic insight into online conversations on the web, enabling businesses to transform risks into opportunities.

Revenue
$3M
Customers
-
Year founded
2007
Funding
-
Team size
30
Location
United Kingdom
Compare I've Been Vetted with Polecat
8
Polecat

AI & Machine Learning Operationalization (MLOps) Software

Provider of an enterprise search and business intelligence platform designed to anticipate reputational risks, monitor trends and identify emerging issues. The company's platform provides business intelligence tool that provides strategic insight into online conversations on the web, enabling businesses to transform risks into opportunities.

Revenue
$3M
Customers
-
Year founded
2007
Funding
-
Team size
30
Location
United Kingdom
Compare I've Been Vetted with Responsible Risk Ltd
9
Responsible Risk Ltd

AI & Machine Learning Operationalization (MLOps) Software

The Responsible Investment Association (RIA) is Canada's leader on responsible investment (RI). RI refers to the integration of environmental, social, and governance (ESG) criteria into investment selection and management. We are a national, membership-based organization composed of financial institutions, mutual fund companies, investment firms, financial advisors, and various organizations and individuals who practice and support responsible investing. The RIA and its members strongly believe that RI is a valuable investment tool to enhance returns, reduce risk, and catalyze positive social change.

Revenue
$3M
Customers
-
Year founded
2019
Funding
-
Team size
25
Location
Canada
Compare I've Been Vetted with VeriSIM Life
10
VeriSIM Life

AI & Machine Learning Operationalization (MLOps) Software

Developer of disease-specific simulation models designed to replace animal drug testing by using artificial intelligence. The company's models increase human life expectancy through intelligence driven biosystem simulations to truly personalize patient treatment, enabling pharmaceutical scientists to improve the accuracy and efficiency of drug development and make personalized health care a reality.

Revenue
$3M
Customers
-
Year founded
2017
Funding
$21.7M
Team size
26
Location
United States
Compare I've Been Vetted with VeriSIM Life
11
VeriSIM Life

AI & Machine Learning Operationalization (MLOps) Software

Developer of disease-specific simulation models designed to replace animal drug testing by using artificial intelligence. The company's models increase human life expectancy through intelligence driven biosystem simulations to truly personalize patient treatment, enabling pharmaceutical scientists to improve the accuracy and efficiency of drug development and make personalized health care a reality.

Revenue
$3M
Customers
-
Year founded
2017
Funding
$21.7M
Team size
26
Location
United States
Compare I've Been Vetted with EasyJur
12
EasyJur

AI & Machine Learning Operationalization (MLOps) Software

Developer of an artificial intelligence-based legal-tech platform intended to democratize access to justice. The company's platform captures and monitors lawsuits in all courts of the country, transforming a large amount of information into structured data and also monitors processes related to an attorney's name and OAB number, sending notifications whenever status changes, allowing lawyers to track their cases more efficiently.

Revenue
$3M
Customers
-
Year founded
2014
Funding
$3.5M
Team size
52
Location
Brazil
Compare I've Been Vetted with EasyJur
13
EasyJur

AI & Machine Learning Operationalization (MLOps) Software

Developer of an artificial intelligence-based legal-tech platform intended to democratize access to justice. The company's platform captures and monitors lawsuits in all courts of the country, transforming a large amount of information into structured data and also monitors processes related to an attorney's name and OAB number, sending notifications whenever status changes, allowing lawyers to track their cases more efficiently.

Revenue
$3M
Customers
-
Year founded
2014
Funding
$3.5M
Team size
52
Location
Brazil
Compare I've Been Vetted with ConicIT
14
ConicIT

AI & Machine Learning Operationalization (MLOps) Software

Developer of performance analytics technologies designed to focus on developing an unique self learning behavioral analysis technology for optimizing mainframe performance. The company's technologies utilize proprietary mathematical models and self-learning algorithms, offer real time tracking of critical resource behavioral patterns and predicts abnormal behavior of these resources before it occurs, enabling businesses to predict performance problems, helps to solve them the first time they occur and prevent their recurrences.

Revenue
$3M
Customers
-
Year founded
2005
Funding
-
Team size
21
Location
Israel
Compare I've Been Vetted with ConicIT
15
ConicIT

AI & Machine Learning Operationalization (MLOps) Software

Developer of performance analytics technologies designed to focus on developing an unique self learning behavioral analysis technology for optimizing mainframe performance. The company's technologies utilize proprietary mathematical models and self-learning algorithms, offer real time tracking of critical resource behavioral patterns and predicts abnormal behavior of these resources before it occurs, enabling businesses to predict performance problems, helps to solve them the first time they occur and prevent their recurrences.

Revenue
$3M
Customers
-
Year founded
2005
Funding
-
Team size
21
Location
Israel
Compare I've Been Vetted with ConicIT
16
ConicIT

AI & Machine Learning Operationalization (MLOps) Software

Developer of performance analytics technologies designed to focus on developing an unique self learning behavioral analysis technology for optimizing mainframe performance. The company's technologies utilize proprietary mathematical models and self-learning algorithms, offer real time tracking of critical resource behavioral patterns and predicts abnormal behavior of these resources before it occurs, enabling businesses to predict performance problems, helps to solve them the first time they occur and prevent their recurrences.

Revenue
$3M
Customers
-
Year founded
2005
Funding
-
Team size
21
Location
Israel
Compare I've Been Vetted with Culture Biosciences
17
Culture Biosciences

AI & Machine Learning Operationalization (MLOps) Software

Developer of automation tools intended for fermentation. The company's tool uses AI and machine learning to streamline and optimize the process of strain screening and biomanufacturing, enabling clients to have access in synthetic biology, microbiome and cellular therapy.

Revenue
$3M
Customers
-
Year founded
2016
Funding
$20.6M
Team size
93
Location
United States
Compare I've Been Vetted with Culture Biosciences
18
Culture Biosciences

AI & Machine Learning Operationalization (MLOps) Software

Developer of automation tools intended for fermentation. The company's tool uses AI and machine learning to streamline and optimize the process of strain screening and biomanufacturing, enabling clients to have access in synthetic biology, microbiome and cellular therapy.

Revenue
$3M
Customers
-
Year founded
2016
Funding
$20.6M
Team size
93
Location
United States
Compare I've Been Vetted with Goava
19
Goava

AI & Machine Learning Operationalization (MLOps) Software

Developer of a sales platform intended to identify, explore and target qualified leads. The company's platform uses Big Data and machine learning to provide sales teams with accurate and actionable sales intelligence at their fingertips via a user-friendly digital interface, enabling businesses to get fast and efficient tracking of leads and customers.

Revenue
$3M
Customers
-
Year founded
2016
Funding
$1.7M
Team size
35
Location
Sweden
Compare I've Been Vetted with Goava
20
Goava

AI & Machine Learning Operationalization (MLOps) Software

Developer of a sales platform intended to identify, explore and target qualified leads. The company's platform uses Big Data and machine learning to provide sales teams with accurate and actionable sales intelligence at their fingertips via a user-friendly digital interface, enabling businesses to get fast and efficient tracking of leads and customers.

Revenue
$3M
Customers
-
Year founded
2016
Funding
$1.7M
Team size
35
Location
Sweden
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