Well Principled

Well Principled

Computer Software, 401 Pne St, St. Louis, Missouri, 63102, United States, 11-50 Employees

wellprincipled.com

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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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  • 401 Pne St, St. Louis, Missouri, 63102, United States Headquarters: 401 Pne St, St. Louis, Missouri, 63102, United States
  • 2018 Date Founded: 2018
  • 11-50 Employees: 11-50
  • dollar-icon Revenue: $1 Million to $5 Million
  • tech-icon Active Tech Stack: See technologies

industries-icon Industry: Computer Software

SIC 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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