Capture data from structured & unstructured documents without configuring rules or templates. Because every company deserves an automated data extraction process. Rossum is an AI-powered, cloud-based data capture solution that speeds up document processing 8x, with up to 98% accuracy. It can be easily customized, integrated, and scaled according to your company's needs. Trusted by: Pepsico, Veolia, Siemens, Cushman & Wakefield, and other companies that prefer to build rather than type. Any document layout: no predefined rules or templates required. Save 90% of the time: improve efficiency and save the costs related to manual data entry. Fast ROI with Cloud: safe and reliable document data capture without the maintenance overhead. Streamline processes: send data straight to your ERP and document management systems. Rossum is powered by Artificial Intelligence and learns from each document processed. Security and compliance: we are ISO 27001 certified and HIPAA compliant. Our cloud service has been specifically engineered for high availability, with enterprise-grade SLAs ranging up to a 99.9% uptime guarantee and 24/7 support. Automate data extraction from invoices, purchase orders, packing lists, receipts, or any similar document, including complex table data, in minutes.
Zluri is an enterprise SaaS management platform for IT teams. It enables IT teams to discover, manage, secure, and comply across multiple SaaS applications, all from a single dashboard. It also helps you automate SaaS Operations Tasks like user onboarding & offboarding.
With direct integration with Rossum you can discover the Rossum users and their usage. You can track licences, optimise spend & plan for your future requirements.
Discover the users using the Rossum and track their activity.
Identify inactive users and unused licences in order to reduce spend & secure your application stack.
Understand Rossum’s engagement score through the average usage percentage metric.
Manage Rossum licences, monitor the amount spent, and track upcoming renewals from a single dashboard.