Parametric Insurance, MGA, Climate Risk, Reinsurance, Carrier, AI and ML
Gilad Shai
Sid Jha, CEO of Arbol

Sid Jha didn't come from insurance — he came from Citadel, trading commodities, pricing weather risk. In Episode 158, he explains how that background shaped Arbol's thesis: that parametric insurance wasn't just a claims shortcut, but a bridge to entirely new pools of capital that traditional insurance could never access. We also get into why Arbol stopped being a pure parametric company — and why being ideological about your product is the fastest way to miss what the customer actually needs.

Sid Jha, CEO of Arbol
Accelerator, Startup, Distribution
Gilad Shai
InsurTech Under Fire — Resilience, Insurtech, ...

InsurTech Israel CEO Kobi Bendelak crossed a desert, a border, and two countries to make it to InsurTech Insights London — during wartime. In Episode 151, he shares what that journey says about Israeli startup culture, how the InsurTech industry has matured from tech tourism to serious procurement, and why he believes core systems may be obsolete within a few years.

InsurTech Under Fire — Resilience, Insurtech, and the Future of Insurance with Kobi Bendelak
Agent Technology, Brokerage, Core System, AI and ML, Agentic AI
Gilad Shai
Anupam Gupta, CPO at Applied Systems

AI won’t replace insurance brokers.

But it will change how their work gets done.

In Episode 148, I spoke with Anupam Gupta, Chief Product Officer at Applied Systems, about how AI is transforming the brokerage tech stack.

One idea stood out:

Instead of replacing humans, AI will become digital teammates working behind the scenes.

For example:

• AI agents preparing renewal packets
• Extracting data from submissions and emails
• Comparing carrier responses
• Surfacing missing coverages

The result?

Less administrative work.
More time for brokers to do what actually matters: advise clients.

One of my favorite lines from the episode:

“Imagine every employee showing up like your top 10%.”

That’s the real promise of AI in insurance.

Anupam Gupta, CPO at Applied Systems
Agentic AI, AI and ML, MGA, Startup
Gilad Shai
Juan García, Co-Founder at Tuio

Tuio serves a segment that traditional insurers struggle with: digitally native customers who expect self-service insurance, transparent pricing, and fast claims resolution. Instead of building another digital wrapper around legacy systems, Tuio designed a platform that uses AI agents to optimize the two biggest drivers of insurance profitability: marketing and claims.

Juan García, Co-Founder at Tuio
Consulting
Gilad Shai
Katey Walker, Chief of Staff at Xceedance

“It was the first FAIR Plan launched in over 20 years.”

When a state becomes the insurer of last resort, it cannot improvise.
A FAIR Plan must operate like a real insurance company: capitalized, issuing paper, fully serviced, and compliant from day one.

In this case, the state had no funds in place.

Within 120 days, the Xceedance team:
Secured the required funding
Stood up full insurance operations
Built the vendor ecosystem
Launched services end-to-end
They were writing business within four months.

An exceptional example of how public-sector insurance initiatives still require private-market execution discipline.

🎙 Episode 145 of hashtag#InsurtechTalk with Katey Walker

 Founders, operators, and industry experts—real infrastructure, not theory.

Katey Walker, Chief of Staff at Xceedance

Claims

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Adam Price, CEO of Kinetic Comp

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Adam Price, CEO of Kinetic Comp

Kinetic started as a wearable device company with a prevention thesis. It is now a $100M+ workers comp MGA built around claims oversight software — and the pivot happened because Adam Price asked customers what they actually needed, instead of what Kinetic had assumed they needed. In Episode 155, Adam explains why prevention technology struggles in mid-market workers comp, how data fusion creates a claims experience that scales like software but feels like dedicated attention, and what MGA investors actually want to hear — hint: it is not the $6 trillion TAM slide.

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Kasey Roh, Head of USA, Upstage

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Kasey Roh, Head of USA, Upstage

Upstage's Kasey Roh came to enterprise AI through Tesla, Meta, and venture capital — which means she has seen enough AI companies to know the difference between real technology and a wrapper. In Episode 152, she makes the case that insurance companies have only ever been able to read about 20% of their documents, explains why throwing the rest into frontier LLMs is not a scalable solution, and shares what one Asian carrier found when it finally digitized a decade of untouched claims records — enough to launch two entirely new product lines from data it already owned.