Company Overview
About Dayforward
Dayforward is a life insurance technology company founded in 2019 by Aaron Shapiro (former CEO of Huge, a digital agency) and Peter Colis (co-founder of Ethos, the life insurance unicorn), headquartered in New York City. The company rethinks the fundamental product structure of life insurance: traditional term life pays a single lump-sum death benefit, which beneficiaries must self-manage as a capital pool. Dayforward instead offers income-replacement policies that pay surviving family members a monthly income — matching the financial reality of how most families actually depend on a breadwinner's earnings — making the product simpler to understand, purchase, and use.
Business Model & Competitive Advantage
The Dayforward platform is entirely digital: applicants complete an online application in minutes without a medical exam for most coverage levels, and AI-assisted underwriting provides a policy decision in real time. Coverage amounts are expressed as monthly income replacement (e.g., $5,000/month for 20 years) rather than a lump-sum face value, which Dayforward's research suggests is a more intuitive frame for consumers purchasing protection. Policies are filed and approved across multiple US states, with Dayforward using a carrier-partner model for risk underwriting while handling the digital distribution and customer experience layer.
Competitive Landscape 2025–2026
Dayforward raised a $25M Series A in 2022 led by New Enterprise Associates (NEA), with participation from Distributed Ventures and other investors. The company is staffed heavily by alumni of Goldman Sachs, McKinsey, and insurance carrier operations, grounding its product innovation in actuarial discipline. Dayforward competes in the digitally distributed life insurance market alongside Ethos, Ladder Life, and Haven Life (backed by MassMutual) — all of which offer fast, digital-first term life policies — but differentiates through its income-replacement product structure rather than simply digitizing the traditional lump-sum model.
Frequently Asked Questions
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