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Local AI workflows
Automate document steps on your own servers, so data never leaves your network.
When public LLM APIs are not an option, we host models and pipelines on your infrastructure to classify, extract, summarize, and route documents, with human approval gates for sensitive decisions.
Who it's for
- Organizations with strict data-residency rules
- Clinics and offices processing sensitive PDFs
- Plants and operations teams digitizing paper records
- Public programs that must keep citizen data in-house
What you get
- Model hosting plan with GPU and CPU sizing
- Workflow steps with approval points
- Connector to your file store or inbox
- Operator interface for review queues
- Audit log of automated actions
Why teams choose it
No document content is sent to public model APIs.
Operators approve high-risk outputs before they become records.
Designed for messy scans and mixed Arabic and English paperwork.
Combine it with our RAG product for private knowledge chat.
Capabilities
- On-premises or private-cloud inference
- Document classification
- Field extraction
- Summarization packs
- Human-in-the-loop review
- Queues and automatic retries
- Works with RAG for question answering
How we deliver
We size hardware honestly: not every workflow needs a large GPU farm. Classification and extraction often run on modest hosts, while generative steps get the heavier kit.
The security review covers network isolation, secrets, and who can see raw files versus summaries. After deployment your IT team gets runbooks for restarts, model updates, and disk growth.
Which product fits your operation?
Email info@eblalabs.com or WhatsApp +90 541 967 57 65, and we will propose a scoped pilot, not a slide deck.