As Israel continues to strengthen its leadership in insurtech innovation, InsurTech Israel will lead a distinguished delegation of 13 cutting-edge startups to Insurtech Insights Europe 2026, taking place in March 2026.
In the lead-up to the event, we are introducing the companies that will represent Israel on this prominent global stage. After presenting Qwan, Pecan.AI and Danubius InsurTech, we now turn to our fourth featured company: Nolana AI
The delegation will showcase breakthrough Israeli technologies that are actively reshaping the global insurance landscape — from AI-driven underwriting and claims automation to next-generation risk intelligence and embedded insurance solutions.
Meet Nolana AI: Ty Zamkow, Co-founder and CEO Ken Zamkow, Co-founder and CCO.
Nolana is an AI-native operating system designed to automate complex insurance operations while maintaining human oversight. Our agentic AI modules offer dynamic FNOL intake, automated claims decisioning, customer-service co-pilot, and customisable AI procedures, delivering measurable improvements in accuracy and efficiency. The SOC-2 certified platform easily integrates with existing policy, claims, and CRM systems, providing a secure and unified cross-channel experience for customers, loss adjusters, and frontline support teams. Nolana allows insurers to scale their operations and improve the experience for both customers and employees, while maintaining quality and governance.
How does your company contribute to or innovate within the insurance industry?
Nolana: We provide insurers with agentic AI solutions that are practical and easy to integrate. Unlike toolkits that demand heavy configuration or AI expertise, Nolana works out of the box, is purpose-built for insurance, and was validated through thousands of evaluation cycles. Nolana doesn’t replace existing policy or claim systems, but rather adds an intelligent and user-friendly layer on top of them. It allows insurers to customise and deploy quickly based on their business logic and desired automation levels, without AI engineering resources or long transformation programmes.
One of the key aspects of the Nolana platform is that it has explicit rules, governance, guardrails, confidence thresholds, and approval gates to ensure that AI actions are accurate, predictable, controllable, and auditable.
When we start working with a new insurer, our forward deployed engineers work hands-on with teams to tune and validate these workflows against historical claims before go-live. Once deployed, insurers maintain continuous oversight with built-in evaluation tools. Nolana replaces fragmented, email-driven or other legacy processes with a single operational layer that expedites tasks, reduces bottlenecks or duplication, and provides real-time visibility across the claims lifecycle. Claims are routed automatically across teams, minimising reliance on shared inboxes and manual tracking.
Finally, our customer service modules work on any communication channel customers or employees use. Interactions can begin with an AI voice chat, and when human intervention is required, Nolana does a warm handover. Advisors receive the full conversation history, claim details, and recommended next actions, allowing them to continue the conversation without repetition or loss of context.
What inspired the idea behind the company?
Nolana: The idea for Nolana’s AI insurance workflows came from seeing first-hand how fragmented and manual insurance workflows still are, especially in complex enterprise environments.
Through our early engagement with Deloitte and Zurich Insurance, we gained a much clearer understanding of the operational pain points: disconnected systems, legacy workflows, heavy human coordination, slow claims and underwriting processes, and limited visibility across the lifecycle of a case. It became obvious that simply throwing a generic AI toolkit at the problem or layering chatbots on top wasn’t enough.
That shaped our conviction that what was needed wasn’t another framework on one end, or point solution on the other, but a unified, agentic platform specifically for insurance that could orchestrate decisions, automate structured processes in all touchpoints for customers and employees, and keep humans in control where judgment matters.
Nolana was built out of that insight – to bring clarity, automation, and accountability into complex insurance and financial workflows.
What were the most significant business milestones or moves you made in 2025?
Nolana: In 2025 we had our first pilots with large companies (like Zurich and Deloitte that we mentioned earlier), officially launched our claims automation platform, signed our first revenue deals, and raised a pre-seed VC round. 2025 was a busy and successful year, and 2026 is off to an even busier start. We were recently selected by Lloyds market as one of only 20 startups (out of 220+) for Lloyd’s Lab Pitch Day, to present our agentic AI proposal for reinsurance workflows. We were also chosen by Plug & Play’s large insurance partners to take part in their upcoming private, corporate-facing NJ FAST pitch in the US. In parallel, we are getting ready for onboarding new insurers on the platform.
What key initiatives or plans are you looking to implement in 2026?
Nolana: In 2026 will continue to expand our platform with even more agentic workflows including complex multi-insurer and reinsurance workflows based on what we’ve learned from the Lloyd’s market. On the sales side, we plan to continue deploying with additional insurers and growing our pipeline.
What are your goals or expectations for participating in the conference?
Nolana: We look forward to meeting with additional insurers, industry experts, and advisors. We have a great demo to show in our booth!
