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Top Vimbel Alternatives, Competitors & Similar Software

Founded 2013

Find 20 competitors in the AI & Machine Learning Operationalization (MLOps) Software. Compare other SaaS such as Metigy, Metigy and Metigy. These Vimbel competitors have raised $64.9M and together serve more than 3.1K customers and employ over 170 team members.

Compare Vimbel with Metigy
1
Metigy

AI & Machine Learning Operationalization (MLOps) Software

Developer of a SaaS based social optimization platform designed to optimize digital marketing. The company's social optimization platform provides a social, digital and mobile ecosystem to measure performance and optimize digital marketing by using machine learning, maps historical and real-time trends, enabling users to plan, schedule and manage their content in one place.

Revenue
$408.1K
Customers
-
Year founded
2015
Funding
$19.6M
Team size
8
Location
Australia
Compare Vimbel with Metigy
2
Metigy

AI & Machine Learning Operationalization (MLOps) Software

Developer of a SaaS based social optimization platform designed to optimize digital marketing. The company's social optimization platform provides a social, digital and mobile ecosystem to measure performance and optimize digital marketing by using machine learning, maps historical and real-time trends, enabling users to plan, schedule and manage their content in one place.

Revenue
$408.1K
Customers
-
Year founded
2015
Funding
$19.6M
Team size
8
Location
Australia
Compare Vimbel with Metigy
3
Metigy

AI & Machine Learning Operationalization (MLOps) Software

Developer of a SaaS based social optimization platform designed to optimize digital marketing. The company's social optimization platform provides a social, digital and mobile ecosystem to measure performance and optimize digital marketing by using machine learning, maps historical and real-time trends, enabling users to plan, schedule and manage their content in one place.

Revenue
$408.1K
Customers
-
Year founded
2015
Funding
$19.6M
Team size
8
Location
Australia
Compare Vimbel with Braintale
4
Braintale

AI & Machine Learning Operationalization (MLOps) Software

Developer of a device designed for the hospital to analyze the MRI in SaaS mode. The company develops and distributes accessible and effective diagnosis and prognosis tools for predicting coma emergence of patients in coma, admitted in intensive care units after severe traumatic brain injuries, cardiac arrest or hemorrhagic stroke, enabling physicians to diagnose the recovery from coma.

Revenue
$408.9K
Customers
-
Year founded
2018
Funding
-
Team size
24
Location
France
Compare Vimbel with Wippli
5
Wippli

AI & Machine Learning Operationalization (MLOps) Software

Wippli is a neat and friendly smart workflow that connects suppliers and clients to engage, produce and thrive from anywhere.

Revenue
$407.8K
Customers
-
Year founded
2020
Funding
-
Team size
4
Location
Australia
Compare Vimbel with mousee
6
mousee

AI & Machine Learning Operationalization (MLOps) Software

mousee is a collaborative platform (SaaS) designed to connect SMB and qualified talent, providing digital marketing services

Revenue
$410.9K
Customers
-
Year founded
2019
Funding
$222.8K
Team size
30
Location
Spain
Compare Vimbel with Restogro
7
Restogro

AI & Machine Learning Operationalization (MLOps) Software

We at Restogro serve businesses across the globe in the F&B sector through our esteemed POS, CRM, Online integrated platform, KDS, Waiters app, Loyalty program, Feedback management system, and much more. We are integrated with Swiggy, Zomato, Dunzo, Scootsy, etc to serve our target businesses better through machine learning and AI-driven insights. Also, our best in class products are being white-labeled by a handful of POS vendors and hardware vendors. We aim to disrupt the way business in the F&B sector works and the F&B consulting sector by offering technology and AI-driven solutions that serve best for end-end management and business improvement. , restogro.com is recognized by a London-based firm as one of the top 10 machine learning firms in Bangalore- https://www.linkedin.com/posts/kousshikram_10-most-innovative-bangalore-city-based-machine-activity-6836906015095709696-cMtz Has grown overseas over the past few years with huge customer base acquisition under the leadership of Kousshik Ram S R and his CTO, with his development team whom he is thankful for. On top of serving direct clients, Restogro also caters to its competitors. The major problems observed on speaking with restaurant owners and other ERP/ Point-of-sale providers in the market were with: - Restaurant owners not getting an end-end value proposition to uplift their way of operations - Existing ERP tool owners are unable to cater to their customers with what they ‘needed’ but not what they could ‘want’ Restogro addressed the first concern through their flagship product which constitutes within itself an embodiment of 10+ product solutions, each of which Restogro highly customises for their specific use case rather than sticking to a version and asking them to adapt to it, Restogro works with each of their customers, understand their business use case and consult them with customised versions that work best for them. The second concern was the biggest. As and when Restogro built its flagship solutions around the basic POS- they found that not every one of their competitors had what restaurant owners needed- like inventory management system, menu builder, kitchen display system, workforce management module, CRM, loyalty programs, etc. Hence they reached out to such competitors of ours who could not build it or scale it themselves and gave them a single- end-point integration. Using this integration, they integrate with Restogro and get white-labelled products of Restogro added to their product offerings. While the maintenance, development entirely lies with Restogro, all the other competitors did was integrate their existing solution with Restogro, and in the place of selling only their 1 product solution, they now were able to sell more than 10 solutions since Restogro gave them all of those for them to re-sell to their clients, thereby their clients also become Restogro's clients. This is the major differentiation Restogro brought to the market on top of solving the existing problem in the F&B sector

Revenue
$404.4K
Customers
700
Year founded
2019
Funding
-
Team size
6
Location
India
Compare Vimbel with Restogro
8
Restogro

AI & Machine Learning Operationalization (MLOps) Software

We at Restogro serve businesses across the globe in the F&B sector through our esteemed POS, CRM, Online integrated platform, KDS, Waiters app, Loyalty program, Feedback management system, and much more. We are integrated with Swiggy, Zomato, Dunzo, Scootsy, etc to serve our target businesses better through machine learning and AI-driven insights. Also, our best in class products are being white-labeled by a handful of POS vendors and hardware vendors. We aim to disrupt the way business in the F&B sector works and the F&B consulting sector by offering technology and AI-driven solutions that serve best for end-end management and business improvement. , restogro.com is recognized by a London-based firm as one of the top 10 machine learning firms in Bangalore- https://www.linkedin.com/posts/kousshikram_10-most-innovative-bangalore-city-based-machine-activity-6836906015095709696-cMtz Has grown overseas over the past few years with huge customer base acquisition under the leadership of Kousshik Ram S R and his CTO, with his development team whom he is thankful for. On top of serving direct clients, Restogro also caters to its competitors. The major problems observed on speaking with restaurant owners and other ERP/ Point-of-sale providers in the market were with: - Restaurant owners not getting an end-end value proposition to uplift their way of operations - Existing ERP tool owners are unable to cater to their customers with what they ‘needed’ but not what they could ‘want’ Restogro addressed the first concern through their flagship product which constitutes within itself an embodiment of 10+ product solutions, each of which Restogro highly customises for their specific use case rather than sticking to a version and asking them to adapt to it, Restogro works with each of their customers, understand their business use case and consult them with customised versions that work best for them. The second concern was the biggest. As and when Restogro built its flagship solutions around the basic POS- they found that not every one of their competitors had what restaurant owners needed- like inventory management system, menu builder, kitchen display system, workforce management module, CRM, loyalty programs, etc. Hence they reached out to such competitors of ours who could not build it or scale it themselves and gave them a single- end-point integration. Using this integration, they integrate with Restogro and get white-labelled products of Restogro added to their product offerings. While the maintenance, development entirely lies with Restogro, all the other competitors did was integrate their existing solution with Restogro, and in the place of selling only their 1 product solution, they now were able to sell more than 10 solutions since Restogro gave them all of those for them to re-sell to their clients, thereby their clients also become Restogro's clients. This is the major differentiation Restogro brought to the market on top of solving the existing problem in the F&B sector

Revenue
$404.4K
Customers
700
Year founded
2019
Funding
-
Team size
6
Location
India
Compare Vimbel with Restogro
9
Restogro

AI & Machine Learning Operationalization (MLOps) Software

We at Restogro serve businesses across the globe in the F&B sector through our esteemed POS, CRM, Online integrated platform, KDS, Waiters app, Loyalty program, Feedback management system, and much more. We are integrated with Swiggy, Zomato, Dunzo, Scootsy, etc to serve our target businesses better through machine learning and AI-driven insights. Also, our best in class products are being white-labeled by a handful of POS vendors and hardware vendors. We aim to disrupt the way business in the F&B sector works and the F&B consulting sector by offering technology and AI-driven solutions that serve best for end-end management and business improvement. , restogro.com is recognized by a London-based firm as one of the top 10 machine learning firms in Bangalore- https://www.linkedin.com/posts/kousshikram_10-most-innovative-bangalore-city-based-machine-activity-6836906015095709696-cMtz Has grown overseas over the past few years with huge customer base acquisition under the leadership of Kousshik Ram S R and his CTO, with his development team whom he is thankful for. On top of serving direct clients, Restogro also caters to its competitors. The major problems observed on speaking with restaurant owners and other ERP/ Point-of-sale providers in the market were with: - Restaurant owners not getting an end-end value proposition to uplift their way of operations - Existing ERP tool owners are unable to cater to their customers with what they ‘needed’ but not what they could ‘want’ Restogro addressed the first concern through their flagship product which constitutes within itself an embodiment of 10+ product solutions, each of which Restogro highly customises for their specific use case rather than sticking to a version and asking them to adapt to it, Restogro works with each of their customers, understand their business use case and consult them with customised versions that work best for them. The second concern was the biggest. As and when Restogro built its flagship solutions around the basic POS- they found that not every one of their competitors had what restaurant owners needed- like inventory management system, menu builder, kitchen display system, workforce management module, CRM, loyalty programs, etc. Hence they reached out to such competitors of ours who could not build it or scale it themselves and gave them a single- end-point integration. Using this integration, they integrate with Restogro and get white-labelled products of Restogro added to their product offerings. While the maintenance, development entirely lies with Restogro, all the other competitors did was integrate their existing solution with Restogro, and in the place of selling only their 1 product solution, they now were able to sell more than 10 solutions since Restogro gave them all of those for them to re-sell to their clients, thereby their clients also become Restogro's clients. This is the major differentiation Restogro brought to the market on top of solving the existing problem in the F&B sector

Revenue
$404.4K
Customers
700
Year founded
2019
Funding
-
Team size
6
Location
India
Compare Vimbel with Zapro AI
10
Zapro AI

AI & Machine Learning Operationalization (MLOps) Software

Zapro AI is vendor portal software for startups. It handles procurement, collaboration, project management, risk management, payments and other countless touchpoints when it comes to managing vendors.

Revenue
$400K
Customers
-
Year founded
2021
Funding
-
Team size
-
Location
United States
Compare Vimbel with Remoteoffer
11
Remoteoffer

AI & Machine Learning Operationalization (MLOps) Software

Remoteoffer is a SaaS-type matching platform specializing in remote work and telework personnel.

Revenue
$417K
Customers
-
Year founded
2020
Funding
-
Team size
11
Location
Japan
Compare Vimbel with RowShare
12
RowShare

AI & Machine Learning Operationalization (MLOps) Software

RowShare is a platform that offers collaborative tables to collect and visualize data.

Revenue
$419.7K
Customers
-
Year founded
2017
Funding
-
Team size
7
Location
France
Compare Vimbel with Scanii
13
Scanii

AI & Machine Learning Operationalization (MLOps) Software

Identify unsafe content in milliseconds.

Revenue
$420K
Customers
-
Year founded
2011
Funding
-
Team size
1
Location
United States
Compare Vimbel with Nami ML
14
Nami ML

AI & Machine Learning Operationalization (MLOps) Software

Developer of an application designed to manage mobile app paywalls and optimize revenue by utilizing machine learning capabilities. The company enables app publishers to create customer journeys from the first run of an app through purchase and once installed marketing teams control the presentation of sales offers that guide the user towards conversion.

Revenue
$421.3K
Customers
-
Year founded
2017
Funding
-
Team size
6
Location
United States
Compare Vimbel with Nami ML
15
Nami ML

AI & Machine Learning Operationalization (MLOps) Software

Developer of an application designed to manage mobile app paywalls and optimize revenue by utilizing machine learning capabilities. The company enables app publishers to create customer journeys from the first run of an app through purchase and once installed marketing teams control the presentation of sales offers that guide the user towards conversion.

Revenue
$421.3K
Customers
-
Year founded
2017
Funding
-
Team size
6
Location
United States
Compare Vimbel with Nami ML
16
Nami ML

AI & Machine Learning Operationalization (MLOps) Software

Developer of an application designed to manage mobile app paywalls and optimize revenue by utilizing machine learning capabilities. The company enables app publishers to create customer journeys from the first run of an app through purchase and once installed marketing teams control the presentation of sales offers that guide the user towards conversion.

Revenue
$421.3K
Customers
-
Year founded
2017
Funding
-
Team size
6
Location
United States
Compare Vimbel with zesavi
17
zesavi

AI & Machine Learning Operationalization (MLOps) Software

Knowledge Management & Content Creation SaaS

Revenue
$421.3K
Customers
1K
Year founded
2020
Funding
-
Team size
6
Location
Germany
Compare Vimbel with HMD Labs
18
HMD Labs

AI & Machine Learning Operationalization (MLOps) Software

Stealth mode SaaS operating at the intersection of digital transformation and intelligent medical devices

Revenue
$395.3K
Customers
-
Year founded
2020
Funding
$2M
Team size
9
Location
United States
Compare Vimbel with HMD Labs
19
HMD Labs

AI & Machine Learning Operationalization (MLOps) Software

Stealth mode SaaS operating at the intersection of digital transformation and intelligent medical devices

Revenue
$395.3K
Customers
-
Year founded
2020
Funding
$2M
Team size
9
Location
United States
Compare Vimbel with HMD Labs
20
HMD Labs

AI & Machine Learning Operationalization (MLOps) Software

Stealth mode SaaS operating at the intersection of digital transformation and intelligent medical devices

Revenue
$395.3K
Customers
-
Year founded
2020
Funding
$2M
Team size
9
Location
United States
Top Vimbel Alternatives, Competitors & Similar Software | GetLatka