Data-driven automation in insurance and healthcare

Conviction: 62% · Horizon: 5Y · 2026-06-19
Large decision-heavy markets can be reshaped by software, data and AI

Insurance and healthcare remain large, complex markets where workflows depend heavily on data and repeated decisions. Companies that apply modern software, AI and proprietary data to underwriting, claims, drug discovery or biological research can capture disproportionate value if adoption accelerates.

Instrument Side Target Reason
LMND Long A digital insurer can benefit if software and data-driven automation improve underwriting, customer acquisition and claims handling in a very large, technologically underpenetrated insurance market.
LLY Long A leading pharmaceutical company with strong clinical execution and exposure to high-value therapeutic categories can compound value as healthcare decisions become more data-driven and treatment adoption broadens.
ABCL Long A platform biotechnology company using data and computational tools for antibody discovery can benefit if AI-enabled research shortens development cycles and creates valuable partnered drug candidates.

Themes

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