Compression Workflow
Technology stack
AI intelligence layered over a practical enterprise stack
The stack is explained in a more readable way so business and technical audiences can both understand the product.
- Native compression core: responsible for high-performance optimization at scale.
- AI / ML layer: supports content-aware profiling, adaptive decisions, and perceptual quality balancing.
- Document intelligence: useful for OCR-linked workflows, PDFs, and structure-aware optimization.
- Integration services: REST APIs, SDKs, batch engines, schedulers, services, and watch-folder automation.
- Delivery flexibility: web, server, endpoint, native mobile, hybrid mobile, and partner channels.
REST APIs
SDKs
Windows Services
Batch Engine
OCR Layer
AI Models
Contact AdstringO
Let’s discuss your compression use case
Tell us about your file types, workflow challenges, deployment needs, and business goals. We can help shape an enterprise compression approach for documents, media, mobile capture, and DICOM workflows.
- What to share: file types, monthly volumes, upload challenges, storage pain points, and target environment.
- Deployment options: on-premises, cloud, hybrid, endpoint, or server-side batch deployment.
- Industry fit: BFSI, insurance, healthcare, shared services, and other file-intensive operations.