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DATAMANTECHNOLOGIES

Services / 07

INTELLIGENCE
ENGINEERED INTO SOFTWARE.

AI-enabled products, intelligent workflows, machine-learning integrations and production AI systems.

Overview

Evaluation before expansion

We define what good output looks like and measure it, so improvements are demonstrable rather than anecdotal.

Grounded, not guessed
Retrieval, citations and structured outputs keep answers tied to real source material.
Humans in the loop where it matters
High-impact decisions keep review paths, escalation and audit trails.

AI & Machine Learning — reference architecture

Business problems addressed

WHEN COMPANIES CALL US.

01

An AI prototype works in a notebook but cannot be trusted in production.

02

Model output needs to be grounded in the organisation's own documents and data.

03

Manual, repetitive workflows are consuming skilled people's time.

04

AI features need cost, latency and safety boundaries before they can ship.

Engineering capabilities

WHAT THIS ENGAGEMENT COVERS.

  • 01

    AI product development

  • 02

    LLM integration

  • 03

    Retrieval-augmented generation

  • 04

    AI agents

  • 05

    Intelligent workflows

  • 06

    Machine-learning integration

  • 07

    AI automation

  • 08

    Model and API integration

  • 09

    Data preparation

  • 10

    Production AI infrastructure

Typical engagements

  • Retrieval-augmented assistant grounded in internal knowledge
  • AI capability added to an existing product with clear guardrails
  • Workflow automation combining models, rules and human review

Technology expertise

  • Python
  • PyTorch
  • LLM APIs
  • Vector databases
  • LangGraph
  • RAG
  • Evaluation harnesses
  • MLOps

Technologies listed reflect production experience, not certifications or vendor partnerships.

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