Technical architecture for scalable document processing
SanadGah's processing engine is built on a parallel, API-first architecture and can be deployed across SaaS, private cloud, and on-premise environments.
Parallel processing architecture
Parallel and scalable document processing — with no quality degradation or increased latency at high volume.
Resource efficiency
Optimized consumption of compute and memory resources — enabling deployment on constrained enterprise infrastructure without requiring heavy hardware.
Data sovereignty
Control over where data is processed and stored in the chosen deployment model, in accordance with data residency policies and the organization's requirements.
Integration-ready
REST API for document submission and result retrieval, webhooks for processing completion notifications — connectable to enterprise systems.
Deployment Models
Cloud subscription (SaaS)
Fast setup with no in-house infrastructure required — suitable for getting started and evaluation.
Private cloud
A dedicated environment on SanadGah infrastructure, with resource control and isolation.
On-Premise deployment
Full processing within the organization's network, with no dependency on foreign cloud services.