Founded 2016
Find 20 competitors in the AI & Machine Learning Operationalization (MLOps) Software. Compare other SaaS such as Ideata Analytics, Geztio and Adian AI. These ABC Fintech competitors have raised - and together serve more than 10K customers and employ over 358 team members.
AI & Machine Learning Operationalization (MLOps) Software
Ideata analytics provides an easy to use analytics platform for users to ingest, prepare and analyze data
AI & Machine Learning Operationalization (MLOps) Software
Developer of a SaaS based guest information analytics platform for the hospitality industry created to digitally evolve tourism industry. The company's customer information analytics platform offers subscription-based business intelligence service for the hospitality industry, it has a web analytics tool and a mobile interface to communicate and distribute knowledge in real time to the destination companies, businesses and employees, it provides collect and analyze guest data such as social media, web pages, guest surveys, booking and government statistics, enabling hospitality service providers to take smart decisions, reduce business costs, enhance customers satisfaction and increase their profitability in real-time.
AI & Machine Learning Operationalization (MLOps) Software
Transforming Agriculture with AI-Driven Insights At Adian.ai, we're at the forefront of revolutionizing the agriculture sector through cutting-edge artificial intelligence and remote sensing technology. Specializing in crop protection and biocontrol, our mission is to empower farmers, agronomists, and agricultural businesses with actionable insights for sustainable and profitable farming.
AI & Machine Learning Operationalization (MLOps) Software
Transforming Agriculture with AI-Driven Insights At Adian.ai, we're at the forefront of revolutionizing the agriculture sector through cutting-edge artificial intelligence and remote sensing technology. Specializing in crop protection and biocontrol, our mission is to empower farmers, agronomists, and agricultural businesses with actionable insights for sustainable and profitable farming.
AI & Machine Learning Operationalization (MLOps) Software
Developer of a cloud based document automation platform designed to help professional services companies win complex RFPs. The company's cloud based document automation platform mines and tailors corporate information on-demand, uses artificial intelligence and machine learning to help IT Staffing firms and IT consulting companies respond to the business proposals, enabling professional services companies to extract meaningful corporate content into segments that can be repurposed to accelerate document creation and gain winning business outcomes.
AI & Machine Learning Operationalization (MLOps) Software
Developer of a cloud based document automation platform designed to help professional services companies win complex RFPs. The company's cloud based document automation platform mines and tailors corporate information on-demand, uses artificial intelligence and machine learning to help IT Staffing firms and IT consulting companies respond to the business proposals, enabling professional services companies to extract meaningful corporate content into segments that can be repurposed to accelerate document creation and gain winning business outcomes.
AI & Machine Learning Operationalization (MLOps) Software
Provider of an enterprise service based on big data technology. The company focuses on massive data analysis through decision modeling and optimization algorithms and provides solutions for complex enterprise decision-making problems, such as logistics optimization and new retails.
AI & Machine Learning Operationalization (MLOps) Software
Provider of an enterprise service based on big data technology. The company focuses on massive data analysis through decision modeling and optimization algorithms and provides solutions for complex enterprise decision-making problems, such as logistics optimization and new retails.
AI & Machine Learning Operationalization (MLOps) Software
Provider of an enterprise service based on big data technology. The company focuses on massive data analysis through decision modeling and optimization algorithms and provides solutions for complex enterprise decision-making problems, such as logistics optimization and new retails.
AI & Machine Learning Operationalization (MLOps) Software
Developer of a self-service platform for businesses that are looking for the best spots to open their business. The company's platform uses spatial analysis, a data enrichment and geo-localization approach to asses big data in regards to population segments, income levels predicting consumer interest in certain products.
AI & Machine Learning Operationalization (MLOps) Software
Developer of a SaaS platform suite designed for data warehousing, predictive analytics and campaign management. The company's platform offers collegiate athletic departments thrive by providing tools to boost fan engagement and encourage revenue growth, enabling clients to help strengthen different internal, sustainable revenue sources, such as ticketing, merchandise and donations.
AI & Machine Learning Operationalization (MLOps) Software
Developer of a SaaS platform suite designed for data warehousing, predictive analytics and campaign management. The company's platform offers collegiate athletic departments thrive by providing tools to boost fan engagement and encourage revenue growth, enabling clients to help strengthen different internal, sustainable revenue sources, such as ticketing, merchandise and donations.
AI & Machine Learning Operationalization (MLOps) Software
Machine Can See is a hardware company specializing in computer vision technology. They provide solutions for various industries such as healthcare, manufacturing, and security. Their technology enables machines to perceive and understand visual data, allowing for automation and improved decision-making.
AI & Machine Learning Operationalization (MLOps) Software
Automate repetitive internal tool workflows with AI agents
AI & Machine Learning Operationalization (MLOps) Software
AI co-pilot for corporate event planning
AI & Machine Learning Operationalization (MLOps) Software
VoltAgent is an observability-first TypeScript AI Agent framework.
AI & Machine Learning Operationalization (MLOps) Software
ViridisChem offers a powerful AI driven self-learning cloud software platform that provides REAL-TIME toxicity evaluation of every chemical and mixture covering even new drug-targets and proprietary chemicals. Supported by in-house toxicity database with 90 million chemicals and 2.5 billion properties, comprehensive experimental data repository, global regulatory database covering over 135 US and international regulatory lists, and over 50 prediction models providing information on 60 different endpoints, its product Chemical Analyzer visually shows chemical’s toxicity implications (environmental, health and safety) to help critical R&D decision-making. By providing over 50 chemical and toxicological properties, global regulatory concerns and full GHS classification, it is a great tool to build/validate SDS, select less toxic raw material, and to explore least toxic drug targets analogs. Some of the most unique capabilities we offer are: - Single platform with toxicity information available from most reliable sources, - Real-time execution of most industry-recognized toxicity prediction models offering over 80% accuracy, and - Large repository of experimental data allowing us to use deep-machine learning to predict new health-related tox-endpoints
AI & Machine Learning Operationalization (MLOps) Software
Launch your app to AWS or GCP in minutes
AI & Machine Learning Operationalization (MLOps) Software
ViridisChem offers a powerful AI driven self-learning cloud software platform that provides REAL-TIME toxicity evaluation of every chemical and mixture covering even new drug-targets and proprietary chemicals. Supported by in-house toxicity database with 90 million chemicals and 2.5 billion properties, comprehensive experimental data repository, global regulatory database covering over 135 US and international regulatory lists, and over 50 prediction models providing information on 60 different endpoints, its product Chemical Analyzer visually shows chemical’s toxicity implications (environmental, health and safety) to help critical R&D decision-making. By providing over 50 chemical and toxicological properties, global regulatory concerns and full GHS classification, it is a great tool to build/validate SDS, select less toxic raw material, and to explore least toxic drug targets analogs. Some of the most unique capabilities we offer are: - Single platform with toxicity information available from most reliable sources, - Real-time execution of most industry-recognized toxicity prediction models offering over 80% accuracy, and - Large repository of experimental data allowing us to use deep-machine learning to predict new health-related tox-endpoints
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