Esker
AI-powered financial process automation platform built in France with native GDPR compliance and distributed EU data centers.
- Datos: EU
- Nativo RGPD
- Propiedad UE
Esker is a cloud-based AI automation suite for the Office of the CFO, headquartered in Lyon, France. It provides end-to-end solutions for source-to-pay (procurement, AP, payments) and order-to-cash (AR, invoicing, collections) with robust ERP integration, GDPR compliance across EU and international frameworks, and data centers across multiple EU locations plus AWS/Azure global infrastructure. Trusted by 3,000+ global enterprises.
Esker is a cloud-based AI automation suite for the Office of the CFO, headquartered in Lyon, France. It provides end-to-end solutions for source-to-pay (procurement, AP, payments) and order-to-cash (AR, invoicing, collections) with robust ERP integration, GDPR compliance across EU and international frameworks, and data centers across multiple EU locations plus AWS/Azure global infrastructure. Trusted by 3,000+ global enterprises.
Destacados
- ✓Unified platform spanning both source-to-pay and order-to-cash processes with AI-driven agentic automation
- ✓Multi-ERP integration supporting 70+ systems with 11 global data centers including EU facilities (France, Germany, Ireland, Netherlands)
- ✓Gartner Magic Quadrant Leader with 3000+ enterprise customers (Siemens, Heineken, Bayer, NVIDIA) and 60+ country e-invoicing compliance
- ✓ISO 27001 and SOC 2 certified with GDPR compliance, Standard Contractual Clauses for EU data transfers, and European Data Protection Officer support
- Ubicación de los datos
- EU
- Precio
- Contacto
- Propiedad UE
- Sí
- Autoalojable
- No
Ideal para
- Mid-market manufacturers automating invoicing, payment processing, and supplier management to reduce AP cycle time and improve cash flow
- Global enterprises managing multi-country procurement and order fulfillment with complex ERP landscapes requiring tight financial controls
- Finance operations optimizing accounts receivable and collections workflows with AI-assisted decision-making to reduce DSO