Better information. Faster decisions.

Sinos Solutions provides secure technology for collecting, structuring and summarising medical information for insurance underwriting and claims.

We replace slow and fragmented manual processes with a reliable digital flow – helping insurers reduce administration, shorten lead times and make well-informed decisions based on the information they need.

Our story

Sinos began with a simple observation: medical information is increasingly available digitally, yet collecting and processing it for an insurance case can still take weeks or even months.

The process often involves manual administration, communication with multiple healthcare providers and large volumes of unstructured documents. This creates unnecessary costs for insurers, longer waiting times for customers and more time spent searching for information instead of evaluating it.

Sinos was founded by Catharina Lehto and Peter Ehrling, combining extensive experience from insurance, fintech, product development and technology.

Together, we set out to build a service designed around the realities of the insurance industry: secure handling of sensitive information, flexible workflows and measurable value from the very first case.

Start with value

We believe that digitalisation should not have to begin with a large implementation project.

Sinos can be used as a standalone service, allowing insurers to get started without developing a dedicated integration. When a deeper integration creates additional value, our API enables Sinos to become part of the insurer’s existing workflow.

This makes it possible to start small, evaluate the actual outcome and expand based on a proven need.

Built for sensitive information

Medical information requires the highest level of care.

Security and privacy are therefore fundamental parts of the Sinos architecture – not features added afterwards. Our platform is designed to protect sensitive information throughout its lifecycle while giving each insurer control over its own users, workflows and data.

Automation should reduce administration and make relevant information easier to understand. It should support qualified professionals in making well-informed decisions – not replace their judgement with an opaque process.