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AmreliaTechnologies

AI engineering

Practical AI. Built into real workflows.

Assistants, enterprise search, RAG, document processing and workflow agents built on your data and your systems, with evaluation, safety and human approval designed in from the first prototype.

Overview

How we approach it.

Useful AI is mostly engineering: getting the right documents and records in front of a model, constraining what it can do, measuring its output and connecting the result to the system that needs it. We build that engineering, and we are honest about where a well-written rule beats a model.

We work with Anthropic, OpenAI and open models behind a provider interface, so your product is never locked to one vendor's pricing or roadmap.

Technologies we reach for

  • Anthropic API (Claude)
  • OpenAI API
  • RAG pipelines
  • Embeddings & vector search
  • pgvector
  • Python
  • Node.js
  • PostgreSQL

What we deliver

Capabilities

Everything Amrelia Technologies designs, builds and runs under AI Solutions.

  • AI discovery

    Which processes have documents, volume and a clear correct answer. Two weeks to a prioritised list with effort and risk.

  • AI assistants

    Assistants for customers and employees that answer from your policies and data, cite sources, and hand off to people cleanly.

  • RAG & knowledge search

    Chunking, embeddings, hybrid retrieval, permission filtering and evaluation sets. Enterprise search that respects who is asking.

  • Document Q&A and extraction

    Invoices, contracts, forms and reports turned into structured data with confidence scores and a review queue.

  • Vector databases

    pgvector, Pinecone or Oracle AI Vector Search, chosen by where your data already lives.

  • LLM integration

    Anthropic, OpenAI and open models behind one interface; prompt versioning, caching and cost control.

  • Workflow agents

    Agents constrained to approved tools and parameters, with full audit trails and human approval on consequential actions.

  • AI-enabled customer support

    Triage, drafting and resolution suggestions inside your helpdesk, with agents in the loop.

  • Evaluation & monitoring

    An evaluation set from real cases before the prototype; regression runs on every change; production quality dashboards.

  • Safety & governance

    Data handling, PII redaction, access control, logging and model-risk documentation your compliance team can sign.

How we work

Six stages, each with deliverables and your involvement.

  1. What happens

    Processes where AI removes measurable work with acceptable risk.

FAQ

Questions people ask us

Have a process drowning in documents or questions?

That is usually the best first AI project. We will scope a pilot with an evaluation set.