InsurTech start-up, Ledger Investing has announced that it has raised $75 million in Series B funding led by WestCap, with participation from Teachers’ Venture Growth and Intact Ventures, and previous investors: SignalFire, MassMutual Ventures, Allegis Capital, and Accel.
Ledger Investing will use the funds to accelerate revenue growth across its insurance-linked security (ILS) brokerage and asset management businesses, as well launch data infrastructure products, and also hire more than 200 employees.
Ledger Investing has enabled institutional investors to achieve attractive and diversifying, risk-adjusted yields through its ILS fund, Nanorock, and from direct investments in brokered securitizations.
As Ledger continues to grow, the marketplace will serve virtually all types of insurance risks and capital, encompassing traditional reinsurers, institutional investors, wealth managers, and accredited retail investors.
The insurtech start-up is a marketplace connecting insurance risk with capital. It has successfully expanded ILS into the U.S. casualty market by providing unprecedented data transparency, simplified reinsurance structures, and uncorrelated returns for institutional investors.
Both MGAs and insurance carriers have leveraged the marketplace for multi-year underwriting capacity and access to alternative capital, unlocking incremental value.
At the same time, Ledger Investing’s unified data pipeline – Ledger Connect, will power the marketplace with real-time, actionable insights and rich analytics for risk originators as well as investors, establishing the new market standard.
Ledger Investing has also placed over $400 million in premium into the capital markets, and is on track to exceed $1 billion by the end of the year.
Furthermore, the company also addresses the biggest challenges that have historically hampered innovation in the insurance and capital markets, such as how institutional investors have long been attracted to casualty insurance, but have been handicapped by the opacity of risk, unreliable nature of data, and convoluted transaction structures.