Introduction
The global insurance industry is testing distributed ledger technology to address one of its most persistent operational problems: fragmented, inconsistent property risk data. Hashgraph, the organization developing the Hedera network, has entered a partnership with The Institutes RiskStream Collaborative, an insurance-industry technology consortium, to build a shared data infrastructure for property risk information using insurance data tokenization.
The initiative targets a market of substantial scale. According to S&P Global data cited in the announcement, the U.S. property and casualty insurance sector exceeds $1 trillion in direct annual premiums, including roughly $169 billion in homeowners coverage and $103 billion in commercial property coverage. The partners describe the current data-sharing process across this market as manual, duplicative, and prone to inconsistency.
The project affects a wide range of institutional participants, including insurance carriers, brokers, reinsurers, and third-party data providers, all of whom currently maintain separate, often incompatible records of the same underlying property risk.
What Insurance Data Tokenization Involves
Insurance data tokenization refers to the process of converting risk-related records, such as property characteristics, claims history, and underwriting data, into a digital token that carries a persistent, unique identifier. Rather than each party in the insurance chain maintaining a separate copy of this information, a tokenized record is designed to function as a single reference point that multiple institutions can access and verify.
Pat Schmid, president of The Institutes RiskStream Collaborative, said the intent is to create tokenized risk assets that serve as a shared data foundation for the industry, describing property as a starting point for the approach. The model does not replace insurance contracts themselves; it applies to the underlying data used to assess and price risk.
How the System Is Structured
RiskStream’s approach relies on a hybrid distributed ledger model rather than a single public blockchain. This structure combines HashSphere, described as Hashgraph’s private, permissioned ledger, with the public Hedera network.
Private layer: Sensitive underwriting and property data is managed within the permissioned HashSphere environment, limiting exposure to authorized institutional participants.
Public layer: Key records are anchored to the public Hedera network through a token, creating a verifiable reference without exposing the underlying sensitive data itself.
The organizations state that RiskStream is also applying an EVM-based real-world asset (RWA) framework, which incorporates smart contracts to support more flexible data and financial structures. This hybrid design reflects a broader pattern among regulated industries, which have generally been reluctant to place sensitive commercial data directly onto fully public blockchain networks.
Key Factors Driving the Initiative
Several industry conditions are cited as motivating the partnership:
- Reliance on a fragmented mix of manual forms, legacy IT systems, and third-party data feeds across the insurance value chain.
- Inconsistent data quality, which the partners say affects underwriting accuracy and pricing precision.
- An increase in the complexity and volatility of insured risk, driven in part by natural catastrophe exposure.
Kurt Bierbower, chief revenue officer at Hashgraph, said HashSphere was developed specifically to address barriers that have limited adoption of public blockchain infrastructure among regulated industries, and framed the partnership as a demonstration of how hybrid ledger models can support large-scale institutional use cases.
Cost, Impact, and Operational Implications
The stated aim of the project is to reduce duplicated work among carriers, brokers, reinsurers, and data providers, each of which currently verifies and tracks similar property information independently. A shared, verifiable data layer could, in principle, shorten underwriting cycles and reduce reconciliation costs tied to inconsistent records.
No cost figures, implementation timelines, or fee structures for the shared portal have been disclosed publicly. The partnership announcement does not specify which carriers or brokers, if any, are currently piloting the system, nor does it provide a timeline for broader industry adoption.
Risks and Limitations
Several factors limit the current scope and certainty of this initiative:
- The partnership is in an early stage, and the announcement does not confirm live production use by named insurers or brokers.
- Adoption of shared data infrastructure across a fragmented industry depends on participation from a critical mass of carriers, brokers, and reinsurers; the value of a shared data layer is limited if uptake remains partial.
- Regulatory treatment of tokenized insurance data varies by jurisdiction, and no specific regulatory approvals or frameworks are referenced in the announcement.
- Hybrid ledger models introduce architectural complexity, requiring coordination between private and public network components, which may affect implementation timelines.
- The initiative currently applies only to commercial and residential property lines; expansion to other insurance lines has been described as a future intention rather than a confirmed plan.
Future Outlook
The organizations have indicated an intention to extend data tokenization beyond property insurance to additional insurance lines and operational processes over time. No specific expansion timeline has been provided. Broader adoption will likely depend on demonstrated results from the initial property-focused phase, as well as engagement from a wider set of institutional participants across the insurance data chain.
Conclusion
The Hashgraph–RiskStream partnership represents an early-stage effort to apply distributed ledger technology to a long-standing data fragmentation problem in the U.S. property and casualty insurance market. The hybrid private-public ledger model reflects an approach designed to balance data privacy with verifiable interoperability. The initiative’s eventual impact will depend on adoption levels among insurers, brokers, and reinsurers, along with regulatory clarity that has not yet been publicly detailed.
