Arqu provides a data‑driven broking platform that equips wholesale insurance brokers with deep risk analytics and automated pre‑underwriting tools, enabling more precise assessment and faster placement of large commercial risks. Operating on a traditional wholesale commission model, the platform aggregates detailed risk data, offers sector‑specific models for construction, real estate, energy, and environmental risks, and delivers real‑time insights that improve pricing, participation, and underwriter productivity.
Funding
$10M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
3OFounders
Product
Problem
Wholesale insurance brokers often rely on limited data and manual processes, leading to imprecise underwriting, slow risk placement, and suboptimal pricing for large commercial risks. Retail insurance agencies then face longer turnaround times and less tailored coverage options.
Solution
Arqu offers a data‑driven broking platform that equips wholesale brokers with deep risk analytics and automated pre‑underwriting tools. By aggregating and analyzing detailed risk information, the platform enables more precise risk assessment and faster placement, reducing the typical timeline from weeks to days. The solution operates on a traditional wholesale commission structure, allowing retailers to interact with Arqu as they would with any broker while benefiting from enhanced pricing, participation, and process efficiency. Focused on high‑complexity sectors such as construction, real estate, energy, and environmental, Arqu’s technology delivers differentiated insights that improve underwriter productivity and outcome quality for both brokers and their insured clients.
Target Audience
Primary customers are wholesale insurance brokers and the retail insurance agencies they serve, particularly those handling large commercial risks in construction, real estate, energy, and environmental sectors.
Features
- Centralized risk data repository with advanced analytics for granular underwriting
- Automated pre‑underwriting workflow that surfaces key risk factors and pricing scenarios
- Real‑time dashboards that track placement progress and underwriter productivity
- Sector‑specific models for construction, real estate, energy, and environmental risks
- Integration points that allow retailers to submit and receive quotes through existing broker channels
- Commission‑based pricing model aligned with traditional wholesale broker arrangements