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Ticker Symbol Entity Name As Of Date Company Name Followers Employees on Linkedin Link Industry Date Added Date Updated Description Website Specialities Logo HQ.Street HQ.City HQ.State HQ.Country HQ.Postal Headcount change in past 24 months Company Name Sector Industry
private:wellprincipled 35503077 Apr 14th, 2024 12:00AM Well Principled 265 8.00 Open Apr 14th, 2024 06:13AM Apr 14th, 2024 06:13AM WP’s software accelerates science-based product funnels with AI model-assisted selection that systematizes metascience. Most science businesses have deep and wide product funnels of candidates, but want winners faster than they can test. Our approach reframes product development as _learning to manipulate a mechanism_ and systematizes enterprise-wide learning of how to identify and disentangle those mechanisms that become products. Our software enables science businesses to accelerate time-to-market with fewer physical tests by encoding these learnings in a simulation model trained on existing funnel testing data and a catalog of mechanisms from the academic literature. We've successfully applied this approach across domains as different as the consumer science of purchasing behavior for durable goods, and the hard science of electrochemistry for battery design and manufacturing. Our technology encodes the core metascience learnings our team has distilled from building enterprise software to solve problems in complex systems spanning consumer behavior, high-frequency trading, cancer genomics, crop growth and development, and battery electrochemistry. Our platform consists of: a universal mechanistic simulation modeling language, a universal system for learning mechanism parameters from data, and a universal system for building environmental simulators and business optimizers. Combined with our "super suit" data architecture specifically designed for integrating and curating complex complex data for modeling, our technology platform allows us to rapidly customize applications to accelerate science business product pipelines in any domain. Open Enterprise Software, AI Software, Business Models, Digitization, Machine Learning, Strategic Marketing, Supply Chain Optimization, Life Sciences, Physical Sciences, and Hard Tech Open St. Louis Missouri US 63102 Well Principled
private:wellprincipled 35503077 Apr 13th, 2024 12:00AM Well Principled 265 8.00 Open Apr 13th, 2024 05:07AM Apr 13th, 2024 05:08PM WP’s software accelerates science-based product funnels with AI model-assisted selection that systematizes metascience. Most science businesses have deep and wide product funnels of candidates, but want winners faster than they can test. Our approach reframes product development as _learning to manipulate a mechanism_ and systematizes enterprise-wide learning of how to identify and disentangle those mechanisms that become products. Our software enables science businesses to accelerate time-to-market with fewer physical tests by encoding these learnings in a simulation model trained on existing funnel testing data and a catalog of mechanisms from the academic literature. We've successfully applied this approach across domains as different as the consumer science of purchasing behavior for durable goods, and the hard science of electrochemistry for battery design and manufacturing. Our technology encodes the core metascience learnings our team has distilled from building enterprise software to solve problems in complex systems spanning consumer behavior, high-frequency trading, cancer genomics, crop growth and development, and battery electrochemistry. Our platform consists of: a universal mechanistic simulation modeling language, a universal system for learning mechanism parameters from data, and a universal system for building environmental simulators and business optimizers. Combined with our "super suit" data architecture specifically designed for integrating and curating complex complex data for modeling, our technology platform allows us to rapidly customize applications to accelerate science business product pipelines in any domain. Open Enterprise Software, AI Software, Business Models, Digitization, Machine Learning, Strategic Marketing, Supply Chain Optimization, Life Sciences, Physical Sciences, and Hard Tech Open St. Louis Missouri US 63102 Well Principled
private:wellprincipled 35503077 Apr 12th, 2024 12:00AM Well Principled 265 8.00 Open Apr 12th, 2024 05:20AM Apr 12th, 2024 02:16PM WP’s software accelerates science-based product funnels with AI model-assisted selection that systematizes metascience. Most science businesses have deep and wide product funnels of candidates, but want winners faster than they can test. Our approach reframes product development as _learning to manipulate a mechanism_ and systematizes enterprise-wide learning of how to identify and disentangle those mechanisms that become products. Our software enables science businesses to accelerate time-to-market with fewer physical tests by encoding these learnings in a simulation model trained on existing funnel testing data and a catalog of mechanisms from the academic literature. We've successfully applied this approach across domains as different as the consumer science of purchasing behavior for durable goods, and the hard science of electrochemistry for battery design and manufacturing. Our technology encodes the core metascience learnings our team has distilled from building enterprise software to solve problems in complex systems spanning consumer behavior, high-frequency trading, cancer genomics, crop growth and development, and battery electrochemistry. Our platform consists of: a universal mechanistic simulation modeling language, a universal system for learning mechanism parameters from data, and a universal system for building environmental simulators and business optimizers. Combined with our "super suit" data architecture specifically designed for integrating and curating complex complex data for modeling, our technology platform allows us to rapidly customize applications to accelerate science business product pipelines in any domain. Open Enterprise Software, AI Software, Business Models, Digitization, Machine Learning, Strategic Marketing, Supply Chain Optimization, Life Sciences, Physical Sciences, and Hard Tech Open St. Louis Missouri US 63102 Well Principled
private:wellprincipled 35503077 Apr 11th, 2024 12:00AM Well Principled 265 8.00 Open Apr 11th, 2024 07:21AM Apr 11th, 2024 05:01PM WP’s software accelerates science-based product funnels with AI model-assisted selection that systematizes metascience. Most science businesses have deep and wide product funnels of candidates, but want winners faster than they can test. Our approach reframes product development as _learning to manipulate a mechanism_ and systematizes enterprise-wide learning of how to identify and disentangle those mechanisms that become products. Our software enables science businesses to accelerate time-to-market with fewer physical tests by encoding these learnings in a simulation model trained on existing funnel testing data and a catalog of mechanisms from the academic literature. We've successfully applied this approach across domains as different as the consumer science of purchasing behavior for durable goods, and the hard science of electrochemistry for battery design and manufacturing. Our technology encodes the core metascience learnings our team has distilled from building enterprise software to solve problems in complex systems spanning consumer behavior, high-frequency trading, cancer genomics, crop growth and development, and battery electrochemistry. Our platform consists of: a universal mechanistic simulation modeling language, a universal system for learning mechanism parameters from data, and a universal system for building environmental simulators and business optimizers. Combined with our "super suit" data architecture specifically designed for integrating and curating complex complex data for modeling, our technology platform allows us to rapidly customize applications to accelerate science business product pipelines in any domain. Open Enterprise Software, AI Software, Business Models, Digitization, Machine Learning, Strategic Marketing, Supply Chain Optimization, Life Sciences, Physical Sciences, and Hard Tech Open St. Louis Missouri US 63102 Well Principled
private:wellprincipled 35503077 Apr 10th, 2024 12:00AM Well Principled 265 8.00 Open Apr 10th, 2024 05:07AM Apr 11th, 2024 12:05AM WP’s software accelerates science-based product funnels with AI model-assisted selection that systematizes metascience. Most science businesses have deep and wide product funnels of candidates, but want winners faster than they can test. Our approach reframes product development as _learning to manipulate a mechanism_ and systematizes enterprise-wide learning of how to identify and disentangle those mechanisms that become products. Our software enables science businesses to accelerate time-to-market with fewer physical tests by encoding these learnings in a simulation model trained on existing funnel testing data and a catalog of mechanisms from the academic literature. We've successfully applied this approach across domains as different as the consumer science of purchasing behavior for durable goods, and the hard science of electrochemistry for battery design and manufacturing. Our technology encodes the core metascience learnings our team has distilled from building enterprise software to solve problems in complex systems spanning consumer behavior, high-frequency trading, cancer genomics, crop growth and development, and battery electrochemistry. Our platform consists of: a universal mechanistic simulation modeling language, a universal system for learning mechanism parameters from data, and a universal system for building environmental simulators and business optimizers. Combined with our "super suit" data architecture specifically designed for integrating and curating complex complex data for modeling, our technology platform allows us to rapidly customize applications to accelerate science business product pipelines in any domain. Open Enterprise Software, AI Software, Business Models, Digitization, Machine Learning, Strategic Marketing, Supply Chain Optimization, Life Sciences, Physical Sciences, and Hard Tech Open St. Louis Missouri US 63102 Well Principled
private:wellprincipled 35503077 Apr 9th, 2024 12:00AM Well Principled 265 8.00 Open Apr 9th, 2024 05:31AM Apr 9th, 2024 03:40PM WP’s software accelerates science-based product funnels with AI model-assisted selection that systematizes metascience. Most science businesses have deep and wide product funnels of candidates, but want winners faster than they can test. Our approach reframes product development as _learning to manipulate a mechanism_ and systematizes enterprise-wide learning of how to identify and disentangle those mechanisms that become products. Our software enables science businesses to accelerate time-to-market with fewer physical tests by encoding these learnings in a simulation model trained on existing funnel testing data and a catalog of mechanisms from the academic literature. We've successfully applied this approach across domains as different as the consumer science of purchasing behavior for durable goods, and the hard science of electrochemistry for battery design and manufacturing. Our technology encodes the core metascience learnings our team has distilled from building enterprise software to solve problems in complex systems spanning consumer behavior, high-frequency trading, cancer genomics, crop growth and development, and battery electrochemistry. Our platform consists of: a universal mechanistic simulation modeling language, a universal system for learning mechanism parameters from data, and a universal system for building environmental simulators and business optimizers. Combined with our "super suit" data architecture specifically designed for integrating and curating complex complex data for modeling, our technology platform allows us to rapidly customize applications to accelerate science business product pipelines in any domain. Open Enterprise Software, AI Software, Business Models, Digitization, Machine Learning, Strategic Marketing, Supply Chain Optimization, Life Sciences, Physical Sciences, and Hard Tech Open St. Louis Missouri US 63102 Well Principled
private:wellprincipled 35503077 Apr 8th, 2024 12:00AM Well Principled 265 8.00 Open Apr 8th, 2024 06:03AM Apr 8th, 2024 06:03AM WP’s software accelerates science-based product funnels with AI model-assisted selection that systematizes metascience. Most science businesses have deep and wide product funnels of candidates, but want winners faster than they can test. Our approach reframes product development as _learning to manipulate a mechanism_ and systematizes enterprise-wide learning of how to identify and disentangle those mechanisms that become products. Our software enables science businesses to accelerate time-to-market with fewer physical tests by encoding these learnings in a simulation model trained on existing funnel testing data and a catalog of mechanisms from the academic literature. We've successfully applied this approach across domains as different as the consumer science of purchasing behavior for durable goods, and the hard science of electrochemistry for battery design and manufacturing. Our technology encodes the core metascience learnings our team has distilled from building enterprise software to solve problems in complex systems spanning consumer behavior, high-frequency trading, cancer genomics, crop growth and development, and battery electrochemistry. Our platform consists of: a universal mechanistic simulation modeling language, a universal system for learning mechanism parameters from data, and a universal system for building environmental simulators and business optimizers. Combined with our "super suit" data architecture specifically designed for integrating and curating complex complex data for modeling, our technology platform allows us to rapidly customize applications to accelerate science business product pipelines in any domain. Open Enterprise Software, AI Software, Business Models, Digitization, Machine Learning, Strategic Marketing, Supply Chain Optimization, Life Sciences, Physical Sciences, and Hard Tech Open St. Louis Missouri US 63102 Well Principled
private:wellprincipled 35503077 Apr 7th, 2024 12:00AM Well Principled 265 8.00 Open Apr 7th, 2024 05:39AM Apr 7th, 2024 09:09PM WP’s software accelerates science-based product funnels with AI model-assisted selection that systematizes metascience. Most science businesses have deep and wide product funnels of candidates, but want winners faster than they can test. Our approach reframes product development as _learning to manipulate a mechanism_ and systematizes enterprise-wide learning of how to identify and disentangle those mechanisms that become products. Our software enables science businesses to accelerate time-to-market with fewer physical tests by encoding these learnings in a simulation model trained on existing funnel testing data and a catalog of mechanisms from the academic literature. We've successfully applied this approach across domains as different as the consumer science of purchasing behavior for durable goods, and the hard science of electrochemistry for battery design and manufacturing. Our technology encodes the core metascience learnings our team has distilled from building enterprise software to solve problems in complex systems spanning consumer behavior, high-frequency trading, cancer genomics, crop growth and development, and battery electrochemistry. Our platform consists of: a universal mechanistic simulation modeling language, a universal system for learning mechanism parameters from data, and a universal system for building environmental simulators and business optimizers. Combined with our "super suit" data architecture specifically designed for integrating and curating complex complex data for modeling, our technology platform allows us to rapidly customize applications to accelerate science business product pipelines in any domain. Open Enterprise Software, AI Software, Business Models, Digitization, Machine Learning, Strategic Marketing, Supply Chain Optimization, Life Sciences, Physical Sciences, and Hard Tech Open St. Louis Missouri US 63102 Well Principled
private:wellprincipled 35503077 Apr 7th, 2024 12:00AM Well Principled 264 8.00 Open Apr 7th, 2024 05:39AM Apr 7th, 2024 05:39AM WP’s software accelerates science-based product funnels with AI model-assisted selection that systematizes metascience. Most science businesses have deep and wide product funnels of candidates, but want winners faster than they can test. Our approach reframes product development as _learning to manipulate a mechanism_ and systematizes enterprise-wide learning of how to identify and disentangle those mechanisms that become products. Our software enables science businesses to accelerate time-to-market with fewer physical tests by encoding these learnings in a simulation model trained on existing funnel testing data and a catalog of mechanisms from the academic literature. We've successfully applied this approach across domains as different as the consumer science of purchasing behavior for durable goods, and the hard science of electrochemistry for battery design and manufacturing. Our technology encodes the core metascience learnings our team has distilled from building enterprise software to solve problems in complex systems spanning consumer behavior, high-frequency trading, cancer genomics, crop growth and development, and battery electrochemistry. Our platform consists of: a universal mechanistic simulation modeling language, a universal system for learning mechanism parameters from data, and a universal system for building environmental simulators and business optimizers. Combined with our "super suit" data architecture specifically designed for integrating and curating complex complex data for modeling, our technology platform allows us to rapidly customize applications to accelerate science business product pipelines in any domain. Open Enterprise Software, AI Software, Business Models, Digitization, Machine Learning, Strategic Marketing, Supply Chain Optimization, Life Sciences, Physical Sciences, and Hard Tech Open St. Louis Missouri US 63102 Well Principled
private:wellprincipled 35503077 Apr 6th, 2024 12:00AM Well Principled 265 8.00 Open Apr 6th, 2024 05:19AM Apr 6th, 2024 05:19AM WP’s software accelerates science-based product funnels with AI model-assisted selection that systematizes metascience. Most science businesses have deep and wide product funnels of candidates, but want winners faster than they can test. Our approach reframes product development as _learning to manipulate a mechanism_ and systematizes enterprise-wide learning of how to identify and disentangle those mechanisms that become products. Our software enables science businesses to accelerate time-to-market with fewer physical tests by encoding these learnings in a simulation model trained on existing funnel testing data and a catalog of mechanisms from the academic literature. We've successfully applied this approach across domains as different as the consumer science of purchasing behavior for durable goods, and the hard science of electrochemistry for battery design and manufacturing. Our technology encodes the core metascience learnings our team has distilled from building enterprise software to solve problems in complex systems spanning consumer behavior, high-frequency trading, cancer genomics, crop growth and development, and battery electrochemistry. Our platform consists of: a universal mechanistic simulation modeling language, a universal system for learning mechanism parameters from data, and a universal system for building environmental simulators and business optimizers. Combined with our "super suit" data architecture specifically designed for integrating and curating complex complex data for modeling, our technology platform allows us to rapidly customize applications to accelerate science business product pipelines in any domain. Open Enterprise Software, AI Software, Business Models, Digitization, Machine Learning, Strategic Marketing, Supply Chain Optimization, Life Sciences, Physical Sciences, and Hard Tech Open St. Louis Missouri US 63102 Well Principled

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