Unstructured images and texts (scanned or photographed documents, pdf, mail), are analyzed by neural networks and classified according to predefined categories (eg identity documents, medical recipes, invoices, appraisals, report minutes, photographs of any damage branch, etc.). Data fields, context and critical elements are identified, validated and processed automatically based on rules and business requirements, including consistency control between different documents (eg medical prescription and invoice or receipt).
Natural language processing technology (NLP) helps automation of data identification and extraction from complex documents, such as contracts and e-mails, structured and semi-structured documents. Data are exposed via API. Lighten your team from manual information collection, from manual checks on documents and form manual transcriptions. Automate and SimplifY your internal processes.
Accelerate and simplify your cutomers onboarding processes with an automatic control of identity documents based on consistency checks between duplex, digital / visual data, expiry and control by live selfie. You will need to ask your customer for a photo of a valid identity document and for a selfie to activate an online control with a duration of a few seconds.
Do you need to detect surface damages on a vehicle and provide a preliminary estimate? Nothing easier with Horus AI. You just have to take a couple of photos in a guided procedure to highlight scratches and cracks and assess them. Horus AI helps you to find surface and mechanical damages and to determine repair time and costs. Horus AI smart triage can streamline mass and complex claims