InsTech - insurance & innovation with Matthew Grant & Robin Merttens

In this episode, Matthew Grant sits down with Matthew Eagle, Head of Global Model Solutions and Advisory at Guy Carpenter, to explore how one of the industry's most respected voices sees the future of modelling, capital management and advisory in reinsurance. With three decades of experience, Matthew reflects on what’s changed — and what hasn’t — in how reinsurers view risk. From the early days of catastrophe models to today’s generative AI agents and open modelling platforms, he shares how his team is helping insurers manage volatility, optimise capital and drive profitable growth. In this episode, Matthew shares: Why flood, wildfire and severe convective storm are the perils to watch — and model — more closely How generative AI is already reshaping pricing, underwriting and actuarial workflows What insurers need to know about build vs buy when it comes to new analytics tools How Guy Carpenter is scaling open-source tech through Oasis and data standardisation What skills are now essential for new analysts entering the industry How AI agents are being used to replicate complex actuarial decisions in seconds Why “good enough” modelling still matters, and where precision can be a false economy The link between terrorism modelling and gaming engines — and what it signals for future innovation If you like what you’re hearing, please leave us a review on whichever platform you use or contact Richard Hartley or Matthew Grant on LinkedIn. Sign up to the InsTech newsletter for a fresh view on the world every Wednesday morning. Continuing Professional Development This InsTech Podcast Episode is accredited by the Chartered Insurance Institute (CII). By listening, you can claim up to 0.5 hours towards your CPD scheme. By the end of this podcast, you should be able to meet the following Learning Objectives: Define the evolving skill sets required for analysts working in catastrophe risk and capital modelling. Identify the trade-offs in choosing between ‘build’ and ‘buy’ approaches when adopting new analytical technologies. Produce a framework for helping clients achieve profitable growth, manage volatility and optimise capital. If your organisation is a member of InsTech and you would like to receive a quarterly summary of the CPD hours you have earned, visit the Episode 374 page of the InsTech website or email cpd@instech.co to let us know you have listened to this podcast. To help us measure the impact of the learning, we would be grateful if you would take a minute to complete a quick feedback survey.

In this episode, Matthew is joined once again by Richard Hartley to reflect on a major milestone in Cytora’s journey: its acquisition by US-based Applied Systems. But as Richard makes clear, this isn’t the end of the road. It’s a platform for scale. Listeners will hear how Cytora evolved from tackling political risk to transforming how risk flows through commercial insurance. Richard shares practical lessons from scaling into the US, explains why they rebuilt their platform around large language models and outlines why being agnostic to input but opinionated on risk output is a game changer. They also explore the cultural and technical alignment with Applied, the value of blending insurance expertise with external product thinking and what it really takes to make hard pivots, including knowing when to throw away what you’ve built. In this episode, Richard shares: Why Cytora rebuilt its platform around large language models — and what they threw away to make it work How “decision-ready risk” became a guiding principle for digitising insurance workflows What it really takes to expand into the US and earn client credibility market by market Why the idea of industry-wide standardisation is flawed — and how to work around it How to lead through uncertainty, scale a team and make tough product decisions Why insurance needs both deep domain knowledge and external perspective to innovate The underrated role of resilience in entrepreneurship — and what ballet and rugby taught him about pushing through If you like what you’re hearing, please leave us a review on whichever platform you use or contact Richard Hartley or Matthew Grant on LinkedIn. Sign up to the InsTech newsletter for a fresh view on the world every Wednesday morning. Continuing Professional Development This InsTech Podcast Episode is accredited by the Chartered Insurance Institute (CII). By listening, you can claim up to 0.5 hours towards your CPD scheme. By the end of this podcast, you should be able to meet the following Learning Objectives: Describe how unstructured data enters the insurance value chain and the implications for underwriting workflows. Define the concept of “decision-ready risk” and its role in modernising commercial insurance operations. List the key factors that enabled Cytora’s successful expansion into the US market. If your organisation is a member of InsTech and you would like to receive a quarterly summary of the CPD hours you have earned, visit the Episode 373 page of the InsTech website or email cpd@instech.co to let us know you have listened to this podcast. To help us measure the impact of the learning, we would be grateful if you would take a minute to complete a quick feedback survey.

Jonathan Spry, CEO and co-founder of Envelop Risk, joins Robin Merttens for a deep dive into how data science, AI and portfolio-level modelling are transforming cyber reinsurance. As one of the earliest voices in the industry championing machine learning and systemic risk analysis, Jonathan shares what he's learned over nine years of building Envelop into a leading hybrid underwriter operating across London and Bermuda. In his own words, this episode is about building smarter ways to understand, underwrite and capitalise on emerging risk — with cyber as just the starting point. What you'll learn: Why Jonathan and his team focused on cyber risk and portfolio-level underwriting from day one The rationale behind favouring systemic insights over individual vulnerabilities How causal inference provides a leap forward in predicting tail events Why AI liability is already creating new market opportunities The need for creative, multi-source data strategies beyond traditional claims Why Envelop steers clear of SaaS and keeps underwriters embedded in the modelling process How algorithmic underwriting fits into the next chapter of insurance innovation Candid thoughts on the AI hype cycle — and what matters more than the buzz Jonathan also talks through Envelop's shift from MGA to reinsurer, how to think long-term in a volatile market and what kind of partnerships are needed to unlock new forms of risk. Book recommendation from Jonathan: The Book of Why by Judea Pearl and Dana Mackenzie. If you like what you’re hearing, please leave us a review on whichever platform you use or contact Robin Merttens on LinkedIn. You can also contact Jonathan Spry on LinkedIn to start a conversation! Sign up to the InsTech newsletter for a fresh view on the world every Wednesday morning. Continuing Professional Development This InsTech Podcast Episode is accredited by the Chartered Insurance Institute (CII). By listening, you can claim up to 0.5 hours towards your CPD scheme. By the end of this podcast, you should be able to meet the following Learning Objectives: Identify the structural and economic drivers pushing insurers toward algorithmic and portfolio underwriting. Produce a strategy for aligning capital, analytics and data science in cyber reinsurance underwriting. Summarise how Envelop Risk evolved from an MGA to a hybrid reinsurer and the rationale behind its capital partnerships. If your organisation is a member of InsTech and you would like to receive a quarterly summary of the CPD hours you have earned, visit the Episode 372 page of the InsTech website or email cpd@instech.co to let us know you have listened to this podcast. To help us measure the impact of the learning, we would be grateful if you would take a minute to complete a quick feedback survey.

Chris Quirk, VP and General Manager at Insurity, shares insights on the company's expansion efforts into the European market. He discusses the push for modernization in US insurance tech and the importance of interoperability in legacy systems. Quirk highlights insights into the role of private equity in mergers, potential pitfalls of exporting US tech to the UK, and the vital importance of structured data in the era of AI. He also explains where Insurity is directing its investments in the next year and envisions a distributed insurance ecosystem.

In this special edition of the InsTech podcast, Robin introduces listeners to new colleague Chris Eberly, Insurance Practice Lead at Datos Insights, following Datos’ recent acquisition of InsTech. Chris brings more than 30 years of carrier experience and a unique practitioner’s perspective on the forces shaping insurance today. Together they explore what this new chapter means for InsTech members, the wider insurance ecosystem, and why Datos’ blend of advisory, research and community makes a timely fit. Along the way, Chris shares why operational efficiency is top of the agenda, how underinsurance is being tackled, and why AI is no longer just hype but a genuine driver of transformation. This conversation is part industry briefing, part fireside chat. Listeners will come away with a clearer view of the challenges and opportunities ahead — from regulatory pressure to CIO priorities — and hear how InsTech and Datos plan to deliver value together. Robin also uncovers Chris’s surprising background outside insurance, including his lifelong passion for the carillon (a rare bell-tower instrument) and what raising six children and seventeen grandchildren has taught him about navigating complexity. Key themes discussed include: What Datos Insights does and how it complements InsTech’s mission Why carriers are focusing on risk operations and decision speed The scale of underinsurance and how data and property insights can help What’s really happening with AI adoption inside carriers The evolving role and pressure of the CIO Why combining advisory, research and community is so powerful Chris’s personal story: carillons, family and a passion for making insurance better If you like what you’re hearing, please leave us a review on whichever platform you use or contact Robin Merttens on LinkedIn. You can also contact Chris Eberly on LinkedIn to start a conversation! Sign up to the InsTech newsletter for a fresh view on the world every Wednesday morning. Continuing Professional Development This InsTech Podcast Episode is accredited by the Chartered Insurance Institute (CII). By listening, you can claim up to 0.5 hours towards your CPD scheme. By the end of this podcast, you should be able to meet the following Learning Objectives: Measure the significance of operational efficiency (“risk ops”) in improving underwriting performance and decision speed. Specify the ways AI is being applied pragmatically in insurance operations, beyond the hype. Explain why CIOs face increasing pressure to balance legacy systems with rapid technology adoption. If your organisation is a member of InsTech and you would like to receive a quarterly summary of the CPD hours you have earned, visit the Episode 370 page of the InsTech website or email cpd@instech.co to let us know you have listened to this podcast. To help us measure the impact of the learning, we would be grateful if you would take a minute to complete a quick feedback survey.

Tracie Thompson, Global Head of Strategic Clients at Cytora, brings her boardroom expertise; Andy Yeoman, CEO and Co-founder of Concirrus, shares tech insights; and Paul Carroll, Editor-in-Chief at Insurance Thought Leadership, offers industry wisdom. Together, they discuss the potential evolution of specialty insurance over the next decade. Topics include the impact of AI on legacy systems, the shifting roles of brokers, and how economic realities could reshape distribution and underwriting. They also explore whether the protection gap will close or widen.

In this milestone edition of Partners Chat, Robin and Matthew sit down for their first episode since InsTech's transition to new ownership. With nearly 11 years of leadership behind them, they reflect candidly on founding and growing the business, navigating a sales process and what lies ahead under Datos Insights. Listeners will get rare insights into what it actually takes to sell a company: what they learned, what caught them off guard and how it’s changed their understanding of fundraising and Private Equity partnerships. This episode offers honest takeaways for any founders or leaders thinking ahead to their own exit. Robin and Matthew also tackle one of the most polarising trends in insurance tech today: Agentic AI. Is it a game-changer or just another label? They unpack how it's being adopted (quietly or loudly) across insurers, and why some businesses are embracing it at full throttle while others remain unconvinced. They also share what they’ve seen in the climate and catastrophe modelling space, where collaboration, innovation and data openness continue to drive real value and how this might foreshadow the future of AI in insurance. Key themes discussed include: Life after founding: reflections on stepping back and what comes next Lessons from selling a company and choosing the right buyer Demystifying Private Equity: stereotypes vs reality The bifurcation of AI adoption in insurance The rise of Agentic AI and the risk of “AI washing” How the climate modelling community sets a precedent for AI maturity Why demos are finally worth seeing again and how events are evolving If you like what you’re hearing, please leave us a review on whichever platform you use or contact Robin Merttens or Matthew Grant on LinkedIn. Sign up to the InsTech newsletter for a fresh view on the world every Wednesday morning. Continuing Professional Development This InsTech Podcast Episode is accredited by the Chartered Insurance Institute (CII). By listening, you can claim up to 0.5 hours towards your CPD scheme. By the end of this podcast, you should be able to meet the following Learning Objectives: Measure the potential impact of agentic AI adoption on underwriting efficiency and competitive advantage. Explain the strategic benefits of new ownership for expanding into US markets and enhancing research and advisory capabilities. Define “AI washing” and how it parallels other historical tech hype cycles in insurance. If your organisation is a member of InsTech and you would like to receive a quarterly summary of the CPD hours you have earned, visit the Episode 365 page of the InsTech website or email cpd@instech.co to let us know you have listened to this podcast. To help us measure the impact of the learning, we would be grateful if you would take a minute to complete a quick feedback survey.

If you want a masterclass in how to build a business, sell it well and stay hungry for the next idea, listen to Bob Frady. In this episode, Matthew Grant catches up with Bob, CEO and Co-founder of PropertyLens and former CEO and founder of Hazard Hub, to hear what he’s learned across three startups, why he’s building again post-exit and how he’s turning deep domain expertise into tools that actually help people. From fire hydrants to flood risk, Bob has spent years translating messy, hyperlocal data into decisions insurers and now homebuyers can use. But this conversation goes far beyond data: it's about strategy, equity, product‑market fit and the value of knowing when to walk away from the wrong deal. In this episode Bob shares: Why Hazard Hub’s founding thesis was wrong, and what he got right instead How PropertyLens is helping US homebuyers make more informed decisions before they buy What UK listeners may not realise about US property disclosures, and why risk is so often hidden How Bob and his co-founder rebuilt their data stack from scratch and landed early B2B traction Why he still believes in the London Market and how UK insurers are often faster adopters What it really takes to scale a direct-to-consumer model in property intelligence Why bootstrapping helped him retain value at exit and how other founders can avoid over-dilution The four startup lessons he shares with anyone thinking of launching their own venture This one’s for founders, data practitioners and anyone who enjoys a candid, experience-rich look at what it takes to build a business that lasts. If you like what you’re hearing, please leave us a review on whichever platform you use or contact Bob Frady or Matthew Grant on LinkedIn. Sign up to the InsTech newsletter for a fresh view on the world every Wednesday morning. Continuing Professional Development This InsTech Podcast Episode is accredited by the Chartered Insurance Institute (CII). By listening, you can claim up to 0.5 hours towards your CPD scheme. By the end of this podcast, you should be able to meet the following Learning Objectives: Define the challenges of scaling a startup with limited capital and how bootstrapping influences long-term outcomes. List the key differences between US and UK property risk disclosure practices. Explain why Hazard Hub’s original thesis did not hold and how that insight shaped the foundation of PropertyLens. If your organisation is a member of InsTech and you would like to receive a quarterly summary of the CPD hours you have earned, visit the Episode 367 page of the InsTech website or email cpd@instech.co to let us know you have listened to this podcast. To help us measure the impact of the learning, we would be grateful if you would take a minute to complete a quick feedback survey.

Insurers have had fair warning: the hard market is softening, and those still relying on legacy tech may soon feel the chill. So what does it take to stay competitive as conditions turn? In this episode, Robin Merttens is joined once again by Dani Katz, Co-founder and Director of Optalitix, for a sharp analysis of what’s changed since their last conversation and why now really is the time to fix the roof. Dani brings a clear message: the winners in this market cycle will be those with disciplined pricing, strong data infrastructure and the ability to move fast. And while AI is starting to play a role, it's the fundamentals (clean data, integrated platforms, empowered underwriters) that remain essential. In this conversation, Dani shares insights on: Why too many firms delayed digital upgrades during the boom The signs of market softening and what that means for pricing teams What “minimum viable tech” looks like in 2025 How underwriters can be brought on the journey, not left behind The difference between automating and augmenting decisions Why data pipelines matter more than AI hype How Optalitix is responding to demand from both UK and global insurers They also touch on industry psychology: the lingering suspicion of new tech, the cultural lag behind modern tooling and why many firms still struggle to turn innovation into impact. If you like what you’re hearing, please leave us a review on whichever platform you use or contact Robin Merttens on LinkedIn. You can also contact Dani Katz on LinkedIn to start a conversation! Sign up to the InsTech newsletter for a fresh view on the world every Wednesday morning. Continuing Professional Development This InsTech Podcast Episode is accredited by the Chartered Insurance Institute (CII). By listening, you can claim up to 0.5 hours towards your CPD scheme. By the end of this podcast, you should be able to meet the following Learning Objectives: Define the role of AI in underwriting workflows, distinguishing between automation and augmentation. Identify common cultural and structural barriers to technology adoption across insurance organisations. Summarise how insurers can use data-first strategies to gain a competitive edge during market transitions. If your organisation is a member of InsTech and you would like to receive a quarterly summary of the CPD hours you have earned, visit the Episode 366 page of the InsTech website or email cpd@instech.co to let us know you have listened to this podcast. To help us measure the impact of the learning, we would be grateful if you would take a minute to complete a quick feedback survey.

At its best, parametric insurance delivers clarity when volatility strikes. But scaling that promise takes more than models: it takes real claims data, market feedback and the ability to solve for both reinsurers’ confidence and cedents’ earnings risk. In this episode, Matthew Grant speaks with Matt Coleman, Chief Risk Officer at The Demex Group, a reinsurance MGA using a new modelled loss index to reshape how the market covers severe convective storms, one of the fastest-growing sources of weather-driven loss. Our conversation picks up where our previous webinar left off, and explores how Demex has grown distribution, secured broker support and validated its approach in a live risk environment. In this conversation Matt touches on: Why 2025 has already seen above-average tornado, wind and hail activity and how recoveries are already flowing How Demex’s RCR Re cover mimics indemnity but pays out on a modelled index Why omitting sensors and relying on robust weather and claims data reduces basis risk The advantages of training models on cedents’ actual ground-up claims, not diluted industry averages What reinsurers want in secondary peril covers and how Demex packages risk to match that appetite Why broker engagement has been critical to growth, and what their clients are asking for What it means to build in response to a genuine market problem not just to push a technology Along the way, Matthew and Matt talk about why carriers are willing to share granular claims data when the product is strong enough and why early validation matters in parametric. If you like what you’re hearing, please leave us a review on whichever platform you use or contact Matt Coleman or Matthew Grant on LinkedIn. Sign up to the InsTech newsletter for a fresh view on the world every Wednesday morning. Continuing Professional Development This InsTech Podcast Episode is accredited by the Chartered Insurance Institute (CII). By listening, you can claim up to 0.5 hours towards your CPD scheme. By the end of this podcast, you should be able to meet the following Learning Objectives: Specify the role of brokers in distributing innovative reinsurance solutions and educating cedents Identify the challenges and advantages of building a reinsurance product in direct response to market demand Explain why reinsurers prefer weather-driven indices over indemnity-based uncertainty If your organisation is a member of InsTech and you would like to receive a quarterly summary of the CPD hours you have earned, visit the Episode 365 page of the InsTech website or email cpd@instech.co to let us know you have listened to this podcast. To help us measure the impact of the learning, we would be grateful if you would take a minute to complete a quick feedback survey.