Our team built simulation infrastructure at Google, Monte Carlo simulations at the Large Hadron Collider (CERN), worked in quantum plasma physics research, and founded a venture studio with multiple exits.
Built decision infrastructure for the White House COVID response (1,500 AI researchers) and for Ukraine's government during the full-scale war (5,000 volunteers). Before that, CTO at venture studio Colab: 65+ companies, 2 large exits including a $330M outcome.
Scaled Google's agent-based simulation of user behaviour across YouTube: many reacting agents on one platform. Architect of the simulation engine, the multi-actor framework and the real-time signal detection behind Principle world modeling capabilities.
Ran the venture capital and private equity arm of a family office, analyst to partner in under three years: 15 investments, two exits, buy-side and sell-side deals alongside investment bankers.
Particle physicist from CERN, spent 4 years running Monte Carlo simulations against real world detector data: generators, likelihoods, hypothesis tests. Mykola runs our methodology and validation metrics for simulations.
Quantum plasma physicist turned machine learning engineer. Plasma is the physics of systems where every particle changes the field every other one sees: a market, formally. Running our modeling and outcome resolutions.
NLP researcher with background in fact-checking, argument-mining and automating alternative generation in decisions. Runs our causal graph and world model generation capabilities.
Advised government entities and multinational corporations on navigating the regulatory landscape of artificial intelligence. Ex-WorldBank, ex-UN consultant. Helps our customers configure simulations to get to their desired outcomes.
Ran strategy for Vans, VF corp, LVMH, Porsche, Epic Games. Having spent his 18+ years across innovation and design, Safir is now driving outcomes across portfolio of Principle customers.
Leads Principle's PE vertical, where she builds the simulations that buyout teams use to stress-test a thesis before the memo. Previously growth and ecosystem at Inworld AI ($125M, Lightspeed/Kleiner/Founders Fund)
“Principle ran a simulation of the enterprise AI market. In 110 of 123 possible futures, lack of power was the main constraint on growth: not the chips, not the models, just lack of power.”
“Every dollar a corporation or investor commits is a bet on a direction. If everyone can execute anything, execution stops being the moat. The expensive skill becomes direction.”
“Strategic simulation is AI's next frontier for enterprise decision-making and leadership.”
“Technology is democratizing speed to action. Previously, scenario planning happened on a quarterly or yearly basis. Nowadays the world is moving so fast: every single day, something changes.”
