Causal Foresight with Anthos: Navigate Uncertainty with Better Decision-Making. #NYTechWeek
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*◟*Leaders are regularly asked to make high-stakes decisions: where to invest, which interventions to prioritize, and how to allocate limited resources for the greatest impact. And these decisions only grow harder as systems become more deeply intertwined, consequences less predictable, and the stakes higher. Yet the tools we rely on weren't built for this. Large language models and conventional ML share a critical blind spot: they can't predict how a system will respond to an intervention it has never encountered before. To navigate today's complexity, we need tools that can reason beyond historical precedent and anticipate the downstream effects of the choices we make.
Anthos is a simulation platform that lets investors, philanthropies, and policymakers stress-test decisions before they commit capital or sign policy. It ingests the relevant literature, then applies neuro-symbolic causal inference to model the second- and third-order consequences spreadsheets and standard forecasting tend to miss. Non-technical users can run "what-if" scenarios through conversational AI and quickly see whether an investment thesis or policy proposal holds up under pressure.
Be among the first to experience Anthos. In this intimate, hands-on workshop, founders Devin Young (CEO) and DJ Passey (CTO) — joined by advisor C. Robin Castelli, MSc (former Global Head of Climate Modeling Analytics at Citi) and World Bank design partner Jasmin Sadegh — will run live model demonstrations. Then you'll have the chance to build your own causal models in Anthos, guided by our AI agents.
This event is a part of #NYTechWeek—a week of events hosted by VCs and startups to bring together the tech ecosystem. Learn more at www.tech-week.com.
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