InsurTech

InsurTech

InsurTech: How Technology Is Reshaping Insurance

InsurTech (insurance technology) is the use of digital tools—artificial intelligence, data analytics, telematics, Internet of Things devices, cloud platforms, and related innovations—to improve how insurance is priced, distributed, underwritten, serviced, and settled. The aim is greater efficiency, more accurate risk assessment, faster customer experiences, and, in many cases, more personalized products.

The changes are already visible to consumers and businesses: mobile apps that issue policies in minutes, usage-based auto premiums tied to actual driving behavior, AI-assisted claims handling, smart-home sensors that support prevention, and coverage offered at the moment of purchase or use. At the same time, carriers and distributors are modernizing core systems and experimenting with new data sources. InsurTech does not eliminate traditional insurance; it changes the tools and processes used to deliver it.

Why InsurTech Matters

Traditional insurance relied heavily on historical loss data, broad demographic categories, paper workflows, and periodic human review. InsurTech adds continuous or high-frequency data, automation, and digital distribution. The practical results include:

  • Faster quoting and binding for many personal and small-commercial risks
  • Pricing that can reflect individual behavior rather than only group averages
  • Quicker claims intake and, in straightforward cases, faster payment
  • New product forms such as usage-based, on-demand, and embedded coverage
  • Lower friction for customers who prefer digital self-service

These gains are uneven. Complex risks, high-value commercial accounts, and situations requiring judgment or advocacy still depend heavily on human expertise.

Core Technologies

TechnologyPrimary Uses in InsuranceCurrent Status
Artificial intelligence & machine learningRisk scoring, underwriting support, fraud detection, claims triage, customer serviceWidely deployed; quality depends on data and governance
TelematicsUsage-based auto insurance, driver behavior scoring, fleet monitoringMature in personal auto; growing in commercial
IoT and connected devicesSmart-home sensors, water-leak detection, vehicle dataSupports prevention and certain parametric or usage-based products
Cloud platformsPolicy administration, claims systems, data infrastructureEssential for scalability and faster product changes
Advanced analyticsPricing, portfolio steering, customer insightsCore capability for both startups and large carriers
Blockchain / distributed ledgersParametric triggers, experimental documentation and settlement usesNarrower adoption than AI or telematics

A practical issue that cuts across several of these technologies is the reliability of digital evidence—especially photos and video—submitted with claims.

Major Areas of Application

Auto insurance
Telematics and usage-based programs have moved into the mainstream. Carriers and specialized players use driving data to refine pricing and, in some cases, to give policyholders feedback. Embedded models linked directly to vehicles represent another direction. These approaches can reward lower-risk behavior while raising questions about data privacy, continuous monitoring, and fairness in how “safe” driving is measured.

Home and renters insurance
Digital platforms emphasize rapid quoting, app-based service, and prevention tools such as water sensors or security devices. Climate and catastrophe exposure continue to influence product design, pricing, and availability, particularly in higher-risk regions.

Health insurance
InsurTech efforts in health focus on member experience, telehealth integration, care navigation, and data-driven identification of gaps in care. Regulatory and reimbursement rules remain major constraints.

Life insurance
Accelerated and simplified underwriting has shortened the path to coverage for many applicants, often reducing or eliminating medical exams for eligible cases. Traditional full underwriting remains important for larger face amounts and complex medical histories.

Small business and on-demand coverage
Digital carriers and platforms target simpler commercial risks with fast issuance, flexible terms, and short-duration options suited to contractors, freelancers, and gig workers.

Infrastructure and enablement
Behind the customer-facing products sit policy-administration, billing, claims, rating, and analytics systems. Modernization of these platforms is a major ongoing investment across the industry and enables many of the improvements described above.

Claims Automation and the Evidence Problem

Automation has improved the speed of claims handling for many routine losses. Digital photos and videos are now routinely submitted by policyholders and agents and often influence decisions about pre-existing damage, accident circumstances, liability, and property condition.

This creates a growing practical problem: digital media can be edited, and most current claims systems are better at processing files quickly than at confirming that those files have not been altered after they were created. Faster automation increases the value of trustworthy evidence.

Cryptographic Verification of Video and Photo Evidence

Cryptographic verification is an emerging response to the evidence-integrity gap. The core idea is straightforward: when a photo or video is recorded, the system generates a digital fingerprint (a cryptographic hash) of the content and records that fingerprint in a way that makes later changes detectable. If even a small part of the file is modified afterward, the fingerprint no longer matches.

When these fingerprints are periodically anchored to a public blockchain, the record becomes independently verifiable. Any party—an adjuster, a carrier, another insurer, or, if needed, a court—can check whether the submitted file matches the original anchored fingerprint without having to trust only the person who provided the media.

How this differs from ordinary video
A standard smartphone video can be trimmed, edited, or altered with widely available tools. A cryptographically anchored recording is designed so that such changes become evident upon verification. The technology does not prevent someone from recording a misleading scene in the first place; it aims to make post-recording manipulation detectable.

Relevant insurance use cases

  • Documenting vehicle condition before or after a loss
  • Recording accident scenes and surrounding circumstances
  • Property inspections and pre-loss condition records
  • Situations in which the authenticity of submitted video is likely to be questioned during claims handling or dispute resolution

Example of current implementation

Ondo Zero Video is the first commercial application of post-quantum cryptographic video verification built specifically for insurance documentation. Every 2 seconds during recording, the app anchors a cryptographic proof to the Solana public blockchain. If a single frame is modified after that point, verification fails — mathematically, immediately, without ambiguity. This technology is protected by USPTO Patent Application 64/001,722: a new hardness assumption independent of factorization and discrete logarithms, designed to remain secure against quantum computers for decades.


Ondo Zero Video: tamper-proof documentation for auto claims

Pre-existing damage disputes. Accident scene reconstruction. Total loss condition records. These are the three situations where a standard phone video fails and a blockchain-anchored recording wins.

With Ondo Zero Video on Android, an agent records a vehicle walkthrough and every 2 seconds the footage is cryptographically sealed on the Solana public blockchain. The verification is open and independent — any carrier, adjuster, or court can confirm integrity without relying on the agent’s word. No frame can be added, removed, or modified without instant detection.

Android only.
Apply: contact@nationalinsuranceguide.com · subject line “Ondo Zero Android Demo”

Post-quantum cryptography: the answer InsurTech has been missing

We are the leaders in solving this specific problem. USPTO Patent Application 64/001,722 introduces a new post-quantum hardness assumption — independent of factorization and discrete logarithms — that powers real-time cryptographic anchoring of video and photo evidence to the Solana public blockchain.

Ondo Zero Video – https://play.google.com/ondozero.app

QR Google Play Ondo Zero

This is not a future roadmap item. It is deployed, tested by independent insurance agents in the field, and available for demo today. We have published a five-part series covering exactly how this works and what it means for your practice:

  1. The insurance industry just ran out of excuses
  2. Why agents should adopt mandatory video recording with cryptographic verification
  3. Post-quantum cryptography in insurance: USPTO patent 64/001,722 explained
  4. Ondo Zero Video: real-time 2-second protection — a game changer for agents
  5. How independent agents can protect their recordings with 2-second security

Challenges and Limitations of InsurTech

Progress is real but incomplete. Ongoing issues include:

  • Data privacy, consent, and the handling of continuous or sensitive personal information
  • Algorithmic fairness and the risk of biased outcomes in automated decisions
  • Variation in state regulation and the pace at which rules adapt
  • Integration with legacy systems at established carriers
  • Customer segments that still prefer human advice or advocacy
  • Cyber risk associated with highly digital operations

Technology can reduce friction and improve precision; it does not remove the need for sound underwriting, adequate capital, clear policy language, or fair claims practices.

Looking Ahead

Several trends are already visible:

  • Further growth of embedded insurance offered at the point of sale or use
  • Continued refinement of usage-based and preventive models
  • Increased regulatory attention to data use, model governance, and consumer outcomes
  • Gradual adoption of stronger digital evidence standards in claims
  • Hybrid approaches that combine automated efficiency with human expertise for complex or high-stakes matters

Practical Takeaway

InsurTech is best understood as a collection of tools that change the speed, precision, and distribution of insurance rather than a wholesale replacement of traditional coverage. Consumers experience the effects through faster service, more personalized pricing options, and digital convenience—provided the coverage itself remains appropriate. Agents and brokers can use better data and documentation tools while continuing to provide judgment and advocacy. Carriers must modernize selectively, govern models carefully, and maintain underwriting discipline.

When assessing any InsurTech product or platform, focus on the actual coverage offered, data practices, claims performance, regulatory standing, and fit with real-world workflows. Technology is an enabler; the insurance promise remains the core of the transaction.
If you’re a broker or business owner, you’ll see new tools to compete smarter and serve clients better.

Read more:

Telematics in Insurance

AI in Claims

API in InsurTech

AI-Driven Underwriting and Risk Assessment

Crypto insurance

The Evolution of Insurance

Video Recording with Cryptographic Verification

Real-Time 2-Second Protection

Post-Quantum Cryptography in Insurance

Recordings with Cryptographic Security

Cyber Insurance

Identity Theft Insurance

Parametric Insurance

Parametric Resilience