We combine Decision Science with Artificial Intelligence to deliver great decisions at scale.
Make Sense of Your Data
Present the data that you need to make decisions in an actionable form. Turn every business question into a custom dashboard that automatically updates at the pace of your business. No more struggling with spreadsheets to model what you want – get insights immediately and focus on growing your business.
Add A.I. to Your Business
Use machine learning to power predictions, like anticipating which sales leads are most likely to close. Automate time-consuming processes and tasks, including producing reports or tracking assets. Support decision making with personalized tools, such as determining your optimal supply chain order.
Integrate Flexible Resources
Our pay-as-you-go model allows you to scale up and down based on your current needs. We offer different levels of engagement to match your capabilities and goals. All our packages are month-to-month subscriptions, and you can cancel at any time.
Three highly trained partners with diverse skills and backgrounds to lead your projects
Alejandro has previous experience in manufacturing, supply chain, and healthcare analytics. He was the COO for a midsize food manufacturing company in his native Venezuela and was responsible for all automation processes within the company. He has an MBA and a Masters in Operations Research from Cornell University and a Ph.D. in Decision Analysis from Stanford University. His research focused on how to scale decision analysis through automation without losing personalization for any individual decision-maker.
Isaac has previous experience in finance, insurance, cybersecurity, and military operations. He has a master’s in Industrial Engineering from the University of Washington and a Ph.D. in Risk Analysis from Stanford University. His research focused on analyzing the behaviors of different cyber traffic signatures to update cybersecurity policies.
Byron has previous experience building and leading technical teams. He has served as CTO and VP of Engineering at several large companies as well as startups. He has worked in biotech, pharma, security and mobile contexts. He holds a Master’s Degree in Electrical Engineering from Stanford University.