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ZYVRONTechnologies

AI &INTELLIGENCE.

Most business value from AI comes from narrow, well-scoped work: reading documents that people currently retype, answering questions against a company's own knowledge, classifying and routing work, and predicting outcomes from data the business already holds. Zyvron Technologies builds that kind of AI into software rather than selling a model as a product in itself.

THE PROBLEM

What this solves

  • Staff spending hours transcribing invoices, forms, claims or records into a system by hand.
  • Knowledge scattered across documents, tickets and inboxes that nobody can search meaningfully.
  • Reluctance to adopt AI because company or customer data would leave the organisation's control.
  • Pilots that demo impressively and then fail on real, messy inputs.
CAPABILITIES

What we deliver

Document extraction and OCR pipelines

Turning scanned and unstructured documents into structured records — invoices, claims, forms, contracts — with the confidence scoring and human review step that make the output trustworthy enough to act on.

Private LLM integration

Language models integrated into your application with a defined data boundary: what is sent, what is retained, and what never leaves your infrastructure. Retrieval over your own content rather than a general-purpose chatbot.

Predictive and decision models

Models trained on your operational data to support specific decisions — demand, routing, prioritisation, risk flagging — with the evaluation harness that shows whether they are actually better than the current process.

Evaluation before deployment

Measuring accuracy on your real inputs, not benchmark data, and defining what the system should do when it is not confident. An AI feature without an evaluation set is a guess.

TECHNOLOGY

Tools we build with

  • Python
  • PyTorch
  • LLM APIs
  • LangChain
  • Vector databases
  • OCR
  • REST APIs
APPLICATION

Where this fits

  • Automating a document-heavy back-office process end to end.
  • Search and question answering over an organisation's own document store.
  • Classifying and routing inbound work that is currently triaged manually.
  • Adding a focused AI capability to an existing product without rebuilding it.
  • Healthcare
  • Retail
  • Education
  • Construction
  • Manufacturing

Tell us what the process looks like today and what it should look like instead. We will tell you honestly whether this is the right service for it.

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