Top InsurTech Companies in New York

New York’s InsurTech ecosystem has a built-in advantage: it sits close to a dense network of insurers, brokers, reinsurers, and financial services companies. The city’s insurance ecosystem gives technology companies access to established industry expertise across underwriting, claims, distribution, benefits, and risk.

That proximity matters. InsurTech companies can build alongside insurance professionals who understand complex insurance workflows rather than developing products in isolation. The ecosystem spans specialized solutions across insurance technology, AI, data, claims, underwriting, and embedded insurance.

InsurTech NY’s 2026 startup map tracks 142 companies across areas including underwriting, claims, distribution, risk assessment, benefits, embedded insurance, AI, and data infrastructure.

Healthee is a New York-based InsurTech company founded in 2021, with around 140 employees. It combines AI and digital benefits technology to help employees understand their health plans, navigate benefits, and access personalized information without relying entirely on traditional support channels.

→ AI Benefits Assistant: Help employees get answers to plan-specific benefits questions through conversational AI.

→ Benefits Navigation: Simplify complex insurance and healthcare information through personalized digital experiences.

→ AI-Powered Employee Benefits: Use automation and intelligent recommendations to make benefits easier to understand and access.

Healthee is best suited for employers and benefits organizations looking to modernize employee benefits experiences with AI.

Nava Benefits is a New York-based benefits technology and brokerage company founded in 2019, with approximately 120–149 employees. It combines technology with human benefits expertise to help businesses manage employee healthcare benefits and make more informed decisions around coverage and costs.

→ Benefits Technology: Digitize benefits management and provide clearer visibility into employee healthcare programs.

→ Healthcare Cost Management: Help employers identify opportunities to manage and optimize healthcare spending.

→ AI-Enabled Benefits Support: Combine technology and benefits expertise to simplify complex insurance decisions.

Nava Benefits is best suited for small and mid-sized businesses seeking a technology-enabled approach to employee benefits management.

Zipari is a Brooklyn-based InsurTech company founded in 2014, with approximately 97–128 employees. It focuses specifically on health insurance, providing technology designed to improve digital member experiences and help health plans simplify interactions with their customers.

→ Health Insurance Experience: Build digital experiences tailored specifically to health plan members.

→ Member Engagement: Help insurers create more personalized and connected interactions across digital channels.

→ Health Plan Technology: Support payers and TPAs with technology designed around insurance-specific customer journeys.

Zipari is best suited for health insurance providers and payers looking to modernize member experiences.

Reserv is a New York-based InsurTech company founded in 2022, with 500+ employees. It combines AI, modern technology, and claims expertise to help insurers modernize property and casualty claims, from data ingestion and coverage decisions to customer experiences.

→ AI-Powered Claims: Use AI to analyse claims, automate repetitive tasks, and support adjusters throughout the claims lifecycle.

→ Claims Data & Analytics: Structure claims data and provide analytics, reporting, and APIs for claims leaders, underwriters, and insurance partners.

→ Claims Workflow Automation: Modernize claims operations with digital workflows, automated decision support, and technology designed for P&C insurance.

Reserv is best suited for insurers, MGAs, and insurance organizations looking to modernize claims operations with AI, data, and workflow automation.

Jetty is a New York-based InsurTech company founded in 2015, with approximately 51–200 employees. It focuses on rental housing insurance and financial products, helping property managers and renters access alternatives to traditional security deposits alongside renters insurance.

→ Renters Insurance: Provide digital insurance products designed specifically for the rental housing market.

→ Security Deposit Alternatives: Offer technology-enabled alternatives that reduce the upfront financial burden for renters.

→ Property Management Solutions: Integrate insurance and deposit products into rental property workflows.

Jetty is best suited for property managers and rental platforms looking to modernize insurance and deposit experiences.

Boost is a New York-based InsurTech company founded in 2017, with approximately 34–50 employees. It operates as a licensed managing general agency, providing insurance infrastructure that enables companies to launch and scale embedded insurance programs without building the entire insurance operation themselves.

→ Embedded Insurance Infrastructure: Provide the technology and insurance infrastructure needed to launch digital insurance products.

→ API-Based Insurance: Connect insurance products and workflows through programmable APIs and digital infrastructure.

→ MGA Enablement: Help businesses build insurance programs while managing licensing, capacity, compliance, and technology requirements.

Boost is best suited for companies looking to launch white-label or embedded insurance products without building an MGA infrastructure from scratch.

Pawlicy Advisor is a Scarsdale, New York-based InsurTech company founded in 2018, with approximately 11–33 employees. It focuses on pet insurance comparison, helping pet owners evaluate policies using information such as breed-specific risks, coverage, and projected lifetime costs.

→ Pet Insurance Comparison: Compare insurance options based on coverage, pricing, and individual pet characteristics.

→ AI-Powered Recommendations: Use data and predictive insights to help pet owners evaluate insurance choices.

→ Veterinary Benefits Technology: Provide tools that help veterinary practices guide clients through pet insurance decisions.

Pawlicy Advisor is best suited for pet owners, insurers, and veterinary practices focused on simplifying pet insurance decisions.

Alaffia Health is a New York-based healthcare technology company founded in 2020, with a lean team of 17+ employees. It uses agentic AI and clinical expertise to automate medical claims review, helping health plans process claims information and identify relevant clinical details more efficiently.

→ AI Claims Review: Use AI to review medical claims and supporting patient information.

→ Clinical AI: Combine artificial intelligence with clinical expertise to support complex healthcare claims decisions.

→ Claims Automation: Automate manual review processes while keeping clinicians involved where human judgment is required.

Alaffia Health is best suited for health plans looking to reduce claims-review workloads through AI-powered automation.

What Does InsurTech AI Development Cost?

InsurTech AI development can range from around $5,000 for a focused AI proof of concept to $1M+ for an enterprise AI platform. The final cost depends on AI complexity, insurance data, integrations, security, compliance, model requirements, and deployment scale.

Estimate your AI scope, integrations, data requirements, infrastructure, and development effort before you commit.

These are indicative 2026 ranges. Actual costs vary based on scope, insurance integrations, data complexity, security and compliance requirements, AI architecture, deployment scale, and development team.

What Moves InsurTech AI Development Cost?

→ AI complexity: A focused AI proof of concept costs less than a production-ready system handling underwriting, claims, fraud detection, or multiple insurance workflows.

→ Insurance data and integrations: Connecting policy administration systems, claims platforms, CRM systems, underwriting tools, third-party data sources, APIs, and legacy infrastructure can significantly increase engineering effort.

→ Model and AI requirements: RAG, predictive models, Generative AI, document intelligence, computer vision, and AI agents each require different data, infrastructure, testing, and development approaches.

→ Security and compliance: Insurance applications require stronger controls around sensitive customer data, access, auditability, governance, explainability, and regulatory requirements.

→ Scale and production readiness: Real-time processing, high claims volumes, multiple users, high availability, monitoring, model management, and integration across insurance operations all influence the final investment.

What Comes After InsurTech AI Development?

InsurTech AI development is only one part of a broader insurance transformation journey. Once AI capabilities are established, insurers can build on that foundation with AI-powered underwriting, claims intelligence, fraud detection, agentic insurance, intelligent automation, and AI governance to move from isolated AI features toward connected and intelligent insurance operations.