As is commonly the case, datasets used inside companies almost always come from diverse sources and in different, unstructured formats. Connecting them up can lead to a be a very large headache. But if it can be done, there are all sorts of benefits, especially in finance, such as fraud detection, KYC/AML checks etc. This is a problem particularly faced by financial firms, but it could also be useful in the areas of Covid contact tracing or general business intelligence.

The main platforms used at this point include Neo4j, Senzing, or Neptune from AWS. Tilo’s data infrastructure tool TiloRes says it helps companies match data points from different sources and formats, by being both serverless and doing it in near real-time and at scale, claims the company. Founded in November 2021, Tilo has started pilot projects together corporates and startups. Madeline Lawrence, Head of DACH Peak commented: “To be really honest, I didn’t grasp what Tilo was solving at first.

Berlin’s Tilo Raises Seed Round To Tackle Unstructured Data Sets With A Serverless Platform

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