We dive deep into our sectors. Our research drives our insights and thesis-driven approach.

Leveraging AI to scale insurance distribution

As investor and boardroom appetite for vertical AI solutions explodes, we see few sectors better positioned for innovation than insurance. Legacy workflows – across customer support, regulatory filings, and claims– remain labor-intensive, highly manual, and costly to fulfill. Reliance on outdated processes and outsourcing relationships puts a drag on expense ratios while detracting from customer experience and revenue retention.

Incumbents poised to cede market share or be disrupted by new upstarts

At Equal Ventures, we invest in the transformation of legacy industries, many of which run on physical assets (think power grids, warehouses, truck fleets, and storefronts). This means bridging “Bits” (technology-driven solutions) with “Atoms” (real-world infrastructure). Across our focus areas, Insurance, Energy, Retail and Supply Chain, we’re seeing a surge in data that has the potential to enhance how these assets are managed, utilized, and monetized. Even small improvements in return on assets (ROA) can generate meaningful enterprise value, but fully capturing that value requires a deep understanding of how these assets operate within capital markets.

Insurance workflows are notoriously rife with unstructured data, regulatory requirements, complexity, multi-stakeholder collaboration/bottlenecks, and high-stakes decisions. Each of these attributes makes the $1T insurance industry a highly compelling use case for vertical AI. Up to 80% of data used across the industry is unstructured/unorganized, and processing this data takes upwards of 40% of employee time. No surprise then that digital transformation and AI enablement is viewed as a “main driver” of insurance industry value creation and M&A.