Fintary: Revolutionizing Insurance with AI Automation

Fintary: Revolutionizing Insurance with AI Automation

I’m thrilled to sit down with Simon Glairy, a trailblazer in insurance and Insurtech with deep expertise in risk management and AI-driven risk assessment. As the visionary behind innovative solutions in the industry, Simon has a unique perspective on transforming operational inefficiencies into growth opportunities. Today, we’ll explore his journey, the inspiration behind founding a groundbreaking platform in 2023, and how his team is leveraging technology to revolutionize financial operations in insurance. Our conversation will touch on personal challenges that sparked this venture, the power of AI in solving industry pain points, team dynamics, and the exciting future of Insurtech.

How did your personal experiences in the insurance industry inspire you to start a company focused on operational efficiency?

I’ve spent years in the trenches of insurance, often drowning in spreadsheets while managing complex commission structures—think hierarchies, overrides, bonuses, and chargebacks. The frustration hit hard during countless late nights reconciling data by hand. It became clear that something meant to drive growth was actually holding it back. I saw a chance to flip the script, to turn commission management into a catalyst for scaling businesses and strengthening agent relationships. That’s when I knew I had to build a solution to automate these processes and create a foundation for efficiency.

What was the core vision for your platform when you launched it in 2023?

When we started in 2023, the vision was to rethink how insurance organizations handle their financial operations. We wanted to eliminate the manual grind and build a system that not only saves time but also fuels growth. The idea of turning commission management into a growth engine was there from the start, though it’s evolved as we’ve learned more about our clients’ needs. Our first product, launched that same year, was a direct response to the most immediate pain point—automating commission processing. It felt like the natural starting point to make an impact.

Can you share how your background and that of your founding team shaped the direction of the company?

My own journey as someone deeply embedded in insurance, combined with a strong academic foundation, gave me a clear view of the industry’s operational gaps. I knew where the inefficiencies lived. My co-founders brought complementary strengths to the table—one with a knack for customer success honed at big tech firms, and the other a engineering wizard with startup experience. Together, we’ve been able to blend deep industry knowledge with top-tier technical expertise, ensuring our platform isn’t just innovative but also practical for the complex workflows insurance demands.

What’s the story behind the name of your company, and how does it reflect your mission?

The name came from a desire for something short, modern, and memorable. We tossed around a few ideas, but when we stumbled on this one—and saw the domain was available—it just clicked. Over time, it’s grown to embody what we’re all about: bringing clarity and intelligence to financial operations in insurance. It’s a name that mirrors our commitment to cutting through the chaos and delivering actionable insights for our clients.

With a team of 25 based in San Francisco and spread across North America, how do you keep everyone aligned and motivated?

Coordinating a distributed team across North America comes down to clear communication and the right tools. We prioritize regular check-ins and virtual collaboration spaces to ensure everyone’s on the same page. As for culture, we’ve worked hard to foster an environment of trust and innovation. We celebrate wins—big and small—and encourage feedback to keep improving. This kind of atmosphere not only supports our growth but also keeps the team energized to tackle the challenges of a fast-moving industry like ours.

How does your AI-powered platform address the specific inefficiencies you’ve seen in insurance financial operations?

Our platform uses AI to automate the heavy lifting of commission processing—think reconciliation, reporting, and generating insights. The biggest issues we tackle are the error-prone manual processes and endless spreadsheets that plague the industry. By automating these tasks, we cut down on costly mistakes and ensure agents get paid accurately and on time. This directly boosts retention and gives organizations real-time visibility into profitability across carriers, products, and agents. It’s about turning chaos into control.

With $12.8 million in funding, including a significant Series A round, how are you planning to leverage this investment to grow?

This funding is a game-changer for us. We’re channeling it into key areas like scaling our engineering team to enhance our AI capabilities and bolstering customer success to ensure every client gets the most out of our platform. We’re also looking to expand into broader areas of insurance financial management. The goal is to build a robust infrastructure that doesn’t just solve today’s problems but anticipates tomorrow’s needs, helping insurers transform efficiency into a competitive edge.

What’s your forecast for the future of Insurtech, especially in the realm of financial operations?

I see Insurtech continuing to be a transformative force, particularly in financial operations. As insurers face growing pressure to improve margins and elevate agent experiences, technology will be the backbone of that shift. We’re just scratching the surface with commission processing—there’s so much potential to expand into other revenue ecosystems and provide real-time control. My forecast is that over the next few years, platforms like ours will become essential, not just for efficiency, but for driving strategic growth in an increasingly competitive landscape.

Subscribe to our weekly news digest.

Join now and become a part of our fast-growing community.

Invalid Email Address
Thanks for Subscribing!
We'll be sending you our best soon!
Something went wrong, please try again later