Well Principled
Computer Software, 401 Pne St, St. Louis, Missouri, 63102, United States, 11-50 Employees
Phone Number: +12*********
Who is WELL PRINCIPLED
WPs software accelerates science-based product funnels with AI model-assisted selection that systematizes metascience. Most science businesses have deep and wide product funnels of candid...
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- Headquarters: 401 Pne St, St. Louis, Missouri, 63102, United States
- Date Founded: 2018
- Employees: 11-50
- Revenue: $1 Million to $5 Million
- Active Tech Stack: See technologies
Industry: Computer Software
SIC Code: 7371
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Frequently Asked Questions Regarding Well Principled
Answer: Well Principled's headquarters are located at 401 Pne St, St. Louis, Missouri, 63102, United States
Answer: Well Principled's phone number is +12*********
Answer: Well Principled's official website is https://wellprincipled.com
Answer: Well Principled's revenue is $1 Million to $5 Million
Answer: Well Principled's SIC: 7371
Answer: Well Principled has 11-50 employees
Answer: Well Principled is in Computer Software
Answer: Well Principled contact info: Phone number: +12********* Website: https://wellprincipled.com
Answer: WPs 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.
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