Imago Platform turns to graphs after AI misses 100% accuracy

Imago Platform, founded 18 months ago, built an application to help customers navigate complicated product warranty policies. Its first client, a lighting and electrical business, needed to resolve warranty claims across manufacturers with widely varying policies. When the company ingested a large collection of PDF documents, its AI model struggled to produce consistently accurate answers. Co-founder Magnus Helander explained that because the models generate probabilistic rather than deterministic responses, the approach fell short. After joining the Neo4j Startup Program and working with graphs, the model started delivering correct results repeatedly. The experience highlights how graph databases help ground AI agents in relevant business information, giving them context rather than relying solely on a language model's general knowledge. Imago Platform now also serves property management teams, car dealerships and retailers in Sweden.