Is Korint an AI Startup?

Yes — but it took us some time to understand how.

When Korint launched in late 2022, we weren’t pitching ourselves as an AI company. Our ambition was simple and urgent: fix the bottlenecks that make launching and managing insurance products so difficult in a legacy-dominated market. We focused on building a modern core insurance platform — digital-first, modular, API-native.

As the platform matured and our use of AI grew more structured, a shift happened. We stopped asking only how can we use AI? — and started exploring how can we enable others to do the same?

That shift marked the beginning of a deeper strategic direction — one that’s guiding how we design, build, and scale Korint today.

1. AI Powered: Our Foundation

From day one, Korint’s team was immersed in the emerging ecosystem of AI tools. As GPT-3 gained momentum, we rapidly integrated AI into our workflows — to boost productivity, automate tasks, and accelerate delivery.

This gave us a clear execution advantage in our early stages. With a compact team, we shipped fast, iterated fast, and built fast. We were, in every sense, AI powered.

But we knew that using AI internally was only a starting point.

2. AI Enabler: Built for What’s Next

As we worked with our first clients — insurers, MGAs, brokers — we saw how real the obstacles to AI adoption still are. Fragmented data, rigid legacy systems, and limited integration capacity make it extremely difficult to implement AI in practice.

That’s where we believe Korint can unlock new potential.

From the outset, we made deliberate architectural choices:

• Event-based design for precise tracking of operations
• Full data versioning to support explainability and auditability
• API-first integration to make every dataset usable and connected

These foundations position Korint as an AI enabler — not just for our own workflows, but for our clients' future needs. Our ambition is to help them turn siloed systems into AI-ready infrastructures. That’s the opportunity we’re building toward.

3. AI Builder: From Architecture to Features

We’re also beginning to translate our AI vision into user-facing capabilities — designed specifically for insurance professionals.

While still at an early stage, Korint already includes several native AI features:

• AI agents that integrate into underwriting workflows
• OCR tools trained on insurance documents
• Query copilots that allow portfolio navigation in natural language

These tools are progressively being tested and rolled out, either as part of our Core Insurance Platform or as standalone modules — depending on the client context.

A Strategic Vision for Insurance AI

We now think of Korint’s positioning in three layers:

• AI powered — in how we operate
• AI enabler — in how we’re built
• AI builder — in the features we are developing

Our goal is not just to be a user of AI. It’s to build the infrastructure that allows insurance actors to adopt it with confidence. To enable them to launch products faster, manage portfolios more transparently, and unlock smarter risk selection — all within a modern, compliant architecture.

We're not there yet. But every part of the Korint platform is designed with that destination in mind.

This is only the beginning.

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Find out more by checking our dedicated AI page