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Find 20 competitors in the AI & Machine Learning Operationalization (MLOps) Software. Compare other SaaS such as FabMetrics, Noteworthy AI and GoAutomate. These Nucleus Cyber competitors have raised $48.7M and together serve more than 2.1K customers and employ over 144 team members.
AI & Machine Learning Operationalization (MLOps) Software
FabMetrics is founded to give access to any size of manufacturing companies into the world of emerging technologies such as IoT, Big Data, Machine Learning and Cloud Computing.
AI & Machine Learning Operationalization (MLOps) Software
Real-time, AI-Powered Asset Inspection & Inventory for Electric Utilities
AI & Machine Learning Operationalization (MLOps) Software
GoAutomate.ai is a company that specializes in intelligently automating businesses. They provide information technology and services to help businesses automate their processes. They have a team of 3 and generate a revenue of $150.5K. They have 280 competitors and alternatives in the market. GoAutomate.ai was founded in XXXX (unknown year).
AI & Machine Learning Operationalization (MLOps) Software
GoAutomate.ai is a company that specializes in intelligently automating businesses. They provide information technology and services to help businesses automate their processes. They have a team of 3 and generate a revenue of $150.5K. They have 280 competitors and alternatives in the market. GoAutomate.ai was founded in XXXX (unknown year).
AI & Machine Learning Operationalization (MLOps) Software
Keylabs merges advanced annotation tools, training of Machine Learning models, operation and project management in a one-stop shop platform.
AI & Machine Learning Operationalization (MLOps) Software
Stealth mode SaaS operating at the intersection of digital transformation and intelligent medical devices
AI & Machine Learning Operationalization (MLOps) Software
Stealth mode SaaS operating at the intersection of digital transformation and intelligent medical devices
AI & Machine Learning Operationalization (MLOps) Software
The Fastest Internal Search For Teams
AI & Machine Learning Operationalization (MLOps) Software
Data loss detection and prevention for companies that use Team Collaboration services. Protection against malicious and unwanted URLs.
AI & Machine Learning Operationalization (MLOps) Software
Data loss detection and prevention for companies that use Team Collaboration services. Protection against malicious and unwanted URLs.
AI & Machine Learning Operationalization (MLOps) Software
Custom AI/Machine learning software solutions
AI & Machine Learning Operationalization (MLOps) Software
Custom AI/Machine learning software solutions
AI & Machine Learning Operationalization (MLOps) Software
Datumix is a subsidiary of Datumix Inc (USA), AI startup company specializing in Logistic industry
AI & Machine Learning Operationalization (MLOps) Software
Developer of a measuring platform intended to improve operations of heat pumps via a cloud server. The company's platform leverages machine learning and artificial intelligence to automatically analyze, compare and keep track of tens of thousands of heat pumps and ensure that these work as well as possible at the lowest possible operating cost, enabling heat pump service companies to make controls without having to go out to their customers by analyzing data and also helps them in determining which of their customers actually need a physical check of their heat pumps.
AI & Machine Learning Operationalization (MLOps) Software
Developer of a measuring platform intended to improve operations of heat pumps via a cloud server. The company's platform leverages machine learning and artificial intelligence to automatically analyze, compare and keep track of tens of thousands of heat pumps and ensure that these work as well as possible at the lowest possible operating cost, enabling heat pump service companies to make controls without having to go out to their customers by analyzing data and also helps them in determining which of their customers actually need a physical check of their heat pumps.
AI & Machine Learning Operationalization (MLOps) Software
Developer of a recommendation-based engine. The company's platform allows online retailers to deliver shopping experiences to their customers through the analysis of big data and consumer behavior.
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.
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.
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
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
