AI & Machine Learning Operationalization (MLOps) Software
Software and solutions that drive energy smart decisions for consumers, cities and utilities.
- Revenue
- $643.3K
- Customers
- -
- Year founded
- 2017
- Funding
- -
- Team size
- 4
- Location
- Canada
Each Tuesday, we reverse-engineer a real SaaS company's revenue, profit, CAC, funnels, and its top growth tactic.
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Founded 2017
Find 20 competitors in the AI & Machine Learning Operationalization (MLOps) Software. Compare other SaaS such as Lightspark, Inhalio, Inc. and M2Test. These Intellead competitors have raised $4.4M and together serve more than 10.5K customers and employ over 83 team members.
AI & Machine Learning Operationalization (MLOps) Software
Software and solutions that drive energy smart decisions for consumers, cities and utilities.
AI & Machine Learning Operationalization (MLOps) Software
Developer of a cloud-based connected scent technology platform designed to change the consumer experience in mobility industry. The company's platform disperses fragrances via connected devices in order to connect with human emotions through the sense of smell, as well as collects various customer data, enabling brands to improve their consumer experience and create distinction through powerful scent experiences.
AI & Machine Learning Operationalization (MLOps) Software
M2Test is a start-up that operates as SAAS that provides analysis services for the evaluation of the elasticity and fragility of the bone.
AI & Machine Learning Operationalization (MLOps) Software
Scientific Diagnostic-SaaS that helps HR to achieve a 5x better pre-selection and avoid 30 % of their bad hires before the first interview.
AI & Machine Learning Operationalization (MLOps) Software
Owner and operator of a software consulting company intended to offer application. The company's range of offering includes CRM optimization, accounting software, sales management, third party integrations and others, enabling companies to attain their corporate goals.
AI & Machine Learning Operationalization (MLOps) Software
Provider of business performance management applications intended to offer customer experience management services. The company's business performance management applications offers business process and quality as well as customer relationship management, enabling clients to continuously collect customer experience data through its PerformWorks software as a service (Saas) platform.
AI & Machine Learning Operationalization (MLOps) Software
Qnum Analytics is a software tech startup that specializes in transforming the management of bulk inventory.
AI & Machine Learning Operationalization (MLOps) Software
Developer of data analysis platform intended to reflect on academic, polling, prediction markets and social media. The company offers cost-effective, fast and flexible polling with an emphasis on politics and finance by entering polling data with machine-learning based post-polling analytics, enabling users to generate money markets and trade in contracts of upcoming events.
AI & Machine Learning Operationalization (MLOps) Software
Developer of data analysis platform intended to reflect on academic, polling, prediction markets and social media. The company offers cost-effective, fast and flexible polling with an emphasis on politics and finance by entering polling data with machine-learning based post-polling analytics, enabling users to generate money markets and trade in contracts of upcoming events.
AI & Machine Learning Operationalization (MLOps) Software
Provider of business performance management applications intended to offer customer experience management services. The company's business performance management applications offers business process and quality as well as customer relationship management, enabling clients to continuously collect customer experience data through its PerformWorks software as a service (Saas) platform.
AI & Machine Learning Operationalization (MLOps) Software
Provider of marketing analytics and optimization technology intended to uncover new customer insights and improve paid search performance. The company's software uses machine learning algorithms and a proprietary database of millions of external facts and events to automatically find and act on insights in the marketer's data, helping marketers increase revenues and lower their customer acquisition costs.
AI & Machine Learning Operationalization (MLOps) Software
Provider of marketing analytics and optimization technology intended to uncover new customer insights and improve paid search performance. The company's software uses machine learning algorithms and a proprietary database of millions of external facts and events to automatically find and act on insights in the marketer's data, helping marketers increase revenues and lower their customer acquisition costs.
AI & Machine Learning Operationalization (MLOps) Software
Provider of an online content management platform intended to automate and circulate business content. The company's platform offers easy and centralized location to manage all of artificial intelligence application assets, 2D, 3D and AR assets which may be stored and permissions assigned to ensure the content is accessible and available whenever needed, enabling content developers to quickly and easily create compelling artificial intelligence applications for sales, marketing, service and training applications.
AI & Machine Learning Operationalization (MLOps) Software
Developer of data analysis platform intended to reflect on academic, polling, prediction markets and social media. The company offers cost-effective, fast and flexible polling with an emphasis on politics and finance by entering polling data with machine-learning based post-polling analytics, enabling users to generate money markets and trade in contracts of upcoming events.
AI & Machine Learning Operationalization (MLOps) Software
A beautiful insights engine for your people data. And the world’s #1 community for Chief People Officers.
AI & Machine Learning Operationalization (MLOps) Software
Developer of an e-commerce engagement technology designed to bring gamification intelligence to increase engagement delivering personalization and custom audience creation. The company's technology uses gamification, machine learning, and artificial intelligence to increase user engagement by adding gamification to pop-ups, enabling companies to increase subscribers and boost sales.
AI & Machine Learning Operationalization (MLOps) Software
Developer of an e-commerce engagement technology designed to bring gamification intelligence to increase engagement delivering personalization and custom audience creation. The company's technology uses gamification, machine learning, and artificial intelligence to increase user engagement by adding gamification to pop-ups, enabling companies to increase subscribers and boost sales.
AI & Machine Learning Operationalization (MLOps) Software
Provider of marketing analytics and optimization technology intended to uncover new customer insights and improve paid search performance. The company's software uses machine learning algorithms and a proprietary database of millions of external facts and events to automatically find and act on insights in the marketer's data, helping marketers increase revenues and lower their customer acquisition costs.
AI & Machine Learning Operationalization (MLOps) Software
Developer of data analysis platform intended to reflect on academic, polling, prediction markets and social media. The company offers cost-effective, fast and flexible polling with an emphasis on politics and finance by entering polling data with machine-learning based post-polling analytics, enabling users to generate money markets and trade in contracts of upcoming events.
AI & Machine Learning Operationalization (MLOps) Software
Provider of marketing analytics and optimization technology intended to uncover new customer insights and improve paid search performance. The company's software uses machine learning algorithms and a proprietary database of millions of external facts and events to automatically find and act on insights in the marketer's data, helping marketers increase revenues and lower their customer acquisition costs.