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Founded 2015
Find 20 competitors in the AI & Machine Learning Operationalization (MLOps) Software. Compare other SaaS such as Pixoneye, Pixoneye and Sparta Science. These UntieNots competitors have raised $100M and together serve more than 402.3K customers and employ over 411 team members.
AI & Machine Learning Operationalization (MLOps) Software
Through AI & cutting-edge computer vision technology, Pixoneye allows brands to harness a revolutionary new source of mobile customer data, providing them with a unique understanding of their users and the tools to enable unprecedented personalisation.
AI & Machine Learning Operationalization (MLOps) Software
Through AI & cutting-edge computer vision technology, Pixoneye allows brands to harness a revolutionary new source of mobile customer data, providing them with a unique understanding of their users and the tools to enable unprecedented personalisation.
AI & Machine Learning Operationalization (MLOps) Software
Provider of evidence based training program designed to offer personalized and predictive analytics for athletes. The company's evidence based training program provides a new way to objectively evaluate and compare athletes through technology and ensure every team member reaches their full athletic potential within an organization, enabling coaches and trainers to measure and reduce player injury risk, increasing on-field time and decreasing costs associated with injury treatment, insurance and sidelined players.
AI & Machine Learning Operationalization (MLOps) Software
Provider of evidence based training program designed to offer personalized and predictive analytics for athletes. The company's evidence based training program provides a new way to objectively evaluate and compare athletes through technology and ensure every team member reaches their full athletic potential within an organization, enabling coaches and trainers to measure and reduce player injury risk, increasing on-field time and decreasing costs associated with injury treatment, insurance and sidelined players.
AI & Machine Learning Operationalization (MLOps) Software
ThinkWhy creates US labor market software that supports better career lives. The company's flagship product, LaborIQ, is a dynamic platform that helps employers understand metro performance, talent supply and demand, salaries by occupation and benchmark individual and team salaries - with actionable answers to support strategic business planning.
AI & Machine Learning Operationalization (MLOps) Software
Airnow is a scalable B2B SaaS platform that allows users to better understand, grow, monetize and secure their apps.
AI & Machine Learning Operationalization (MLOps) Software
Ramen VR is transforming game development with advanced XR + AI tools.
AI & Machine Learning Operationalization (MLOps) Software
Xpln.ai uses eye-tracking and AI to measure real-time ad attention, helping forecast performance across the marketing funnel. They develop solutions for measuring and optimizing advertising effectiveness, supported by artificial intelligence, and operate 100% cookieless.
AI & Machine Learning Operationalization (MLOps) Software
Ramen VR is transforming game development with advanced XR + AI tools.
AI & Machine Learning Operationalization (MLOps) Software
The API for Diagnostic Test Analysis (COVID-19, FLU, RSV, STD,…
AI & Machine Learning Operationalization (MLOps) Software
Developer of an analytics platform intended to support business strategy. The company's application combines predictive analytics and scenario modeling using data science and machine learning to deliver better analysis of insights and outcomes, enabling organizations to make better strategic decisions.
AI & Machine Learning Operationalization (MLOps) Software
Viso.ai is a technology company that builds next-gen infrastructure for visual AI applications, providing an end-to-end computer vision platform designed for enterprises to build, deploy, and scale real-world applications.
AI & Machine Learning Operationalization (MLOps) Software
Owl Insights is a SaaS platform which enables measurement based care in the treatment of behavioral health disorders.
AI & Machine Learning Operationalization (MLOps) Software
Xpln.ai uses eye-tracking and AI to measure real-time ad attention, helping forecast performance across the marketing funnel. They develop solutions for measuring and optimizing advertising effectiveness, supported by artificial intelligence, and operate 100% cookieless.
AI & Machine Learning Operationalization (MLOps) Software
Founded in 2016, 3Lines is a venture capital firm based in Denver, Colorado. The firm seeks to invest in early-stage companies in the US and India operating in artificial intelligence, internet of things, cybersecurity, distributed ledger technologies, cloud edge, and enterprise software sectors.
AI & Machine Learning Operationalization (MLOps) Software
Founded in 2016, 3Lines is a venture capital firm based in Denver, Colorado. The firm seeks to invest in early-stage companies in the US and India operating in artificial intelligence, internet of things, cybersecurity, distributed ledger technologies, cloud edge, and enterprise software sectors.
AI & Machine Learning Operationalization (MLOps) Software
Customer rewards and loyalty solution for small and medium sized businesses.
AI & Machine Learning Operationalization (MLOps) Software
Fabi.ai is an AI powered data analysis platform that helps data practitioners answer ad hoc questions, build reports and workflows. With Fabi.ai, data teams get up to 90% of their team by when doing ad hoc analysis or exploratory data analysis.
AI & Machine Learning Operationalization (MLOps) Software
Developer of an analytics platform intended to support business strategy. The company's application combines predictive analytics and scenario modeling using data science and machine learning to deliver better analysis of insights and outcomes, enabling organizations to make better strategic decisions.
AI & Machine Learning Operationalization (MLOps) Software
Developer of a platform intended for customer success management. The company's platform centralizes data from all customer interactions and data sources, monitors the health and product usage and predicts customer behavior, enabling the customer success teams to proactively engage with their customers in a meaningful way.
