AI and Machine Learning Strategy and Modeling
We predict the unknown.
We advise on AI Strategy and Predictive Modeling.
In the increasingly complex world of modern AI and machine learning, a well-informed strategy is essential. We help our clients think through product opportunities (and threats) alongside issues of AI governance, such as legal, regulatory, and reputational risk.
We also roll up our sleeves and implement these strategies. We integrate AI/ML into real-world systems, shepherding products from early R&D to final launch.
Our clients range from startups to Fortune 10 companies.
“We employed Mirabolic to analyze trial outcome data and provide our clinical development team with a robust and readily interpretable view of the data. Mirabolic's work was prompt, thorough and relevant, and we would strongly recommend them.”
— Mohammed Asmal, venture partner at OrbiMed Advisors and Senior Director of Pharmacology at Prime Medicine
“I never cease to be amazed by the number of rabbits these guys pull out of their hats. In addition to being technical wizards, their advice for getting to product has been spot-on.”
— Brian Lent, CEO of Plunk
— Publications and Resources —
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Mirabolic's GitHub Repo
Our publicly-facing software library. See the code in action.
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Foul Ball Rates and Injuries
Foul Ball Rates and Injuries at Major League Baseball Games: A Retrospective Analysis of Data from Three Stadiums. Cambridge University Press
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Crohn's and MRE
Novel Associations Between Genome-Wide Single Nucleotide Polymorphisms and MR Enterography Features in Crohn's Disease Patients. Wiley Online Library