Founded 2023
Find 20 competitors in the Supply Chain Management Software. Compare other SaaS such as ProRes, ViridisChem, Inc. and Pulse AI. These Cynea AI competitors have raised - and together serve more than - customers and employ over 60 team members.
Supply Chain Management Software
ProRes.ai is a platform where users build their profile and then use generative AI to best demonstrate skills, experience, education, and more. Our platform takes all this information and builds resumes custom tailored to each job opportunity.
Supply Chain Management 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
Supply Chain Management Software
A Headless CMS that works more like a database. Querying, Search, Realtime Data and more
Supply Chain Management Software
NeuralPit offers affordable AI tools (alternative to Microsoft Copilot) for businesses in areas like marketing, HR, finance, and more. Collaborate on projects, upload diverse data formats, and discover insights anytime, anywhere.
Supply Chain Management Software
Exante is an AI-powered contract repository, which helps business operators effortlessly organize their commercial agreements and achieve a new level of visibility into their contracts.
Supply Chain Management Software
Menusso simplifies restaurant menu management with real-time updates, real dish photos, instant AI translations to 15 languages, and eliminates the need for printed menus, ensuring quicker service for your guests. No POS integration needed!
Supply Chain Management Software
We build tools for the next generation of creative artists. You break in to Hollywood as a Director by making indie movies, and Saga can help you get there - faster, better stories, characters, scripts, storyboards, and soon films to get discovered next!
Supply Chain Management 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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