What we do
Actuarial model builds, conversions, and remediation in AXIS, Prophet, and Python. The problems that don’t fit neatly into a template — combination products, joint life structures, blocks where the original architect left no documentation and the current team is afraid to touch it. Greenfield builds or untangling someone else’s work. The goal is always the same: a model the next person can actually maintain.
Experience studies, assumption setting, and due diligence for life and annuity transactions. Getting into the details of morbidity, lapse, and mortality assumptions, figuring out what the data actually supports versus what the last team assumed, and making sure the numbers behind a deal hold up under scrutiny. LTC, life, annuity, and combination products.
Large language models are not magic. They’re powerful, they’re improving fast, and they will absolutely change how actuarial and insurance work gets done. Most deployments stall because nobody stopped to ask what problem they’re actually solving. Start there — then design the agents, prompts, and orchestration patterns that make it work in practice, not just in a demo. Multi-agent workflows, retrieval systems, production reliability, and honest assessment of what these tools can’t do yet.