000%
UBACODETECHNOLOGIES
All services

Service 04

AI & Machine Learning

We put AI where it changes an outcome, not where it makes a demo. That means assistants grounded in your own data, predictive models that run in production, and automation with humans in the loop and an audit trail.
LLM appsRAGMLOps
04 / 06

01 / What you get

Scope that stays clear.

Outcome
-58%
mean time to resolve incidents with an ops copilot
Outcome
92%
analysis time saved in a geospatial pipeline
Outcome
100%
of AI actions logged and reviewable
  • Use-case discovery and feasibility studies
  • Retrieval-augmented assistants and copilots
  • Predictive models and forecasting pipelines
  • Evaluation harnesses and guardrails
  • MLOps: training, deployment and monitoring
  • Change management and team enablement

02 / How we work

Momentum by design.

A transparent, five-stage rhythm that keeps every stakeholder informed and every release dependable.
  1. 01

    Discover

    • Discovery report
    • Roadmap
    • Success metrics

    We turn ambiguity into a clear product opportunity through research, stakeholder workshops and technical due diligence.

  2. 02

    Design

    • User flows
    • Prototype
    • Design system

    We map the journeys, make the system tangible and test the decisions that matter before a line of code is written.

  3. 03

    Develop

    • Weekly demos
    • Test coverage
    • Staging releases

    Cross-functional squads build in short, transparent sprints with automated testing and quality baked in.

  4. 04

    Deploy

    • CI/CD
    • Monitoring
    • Documentation

    We orchestrate a dependable launch with infrastructure as code, observability and a handover that leaves no loose ends.

  5. 05

    Support

    • SLAs
    • Optimisation
    • Roadmap reviews

    Your product keeps learning. We monitor, optimise and plan the next decisive move together as a long-term partner.

03 / Related work

All case studies

04 / Questions

Good to know.

Whatever fits the task, budget and data-residency needs: hosted frontier models, open-weight models on your infrastructure, or classical ML when it is simply better.

Data stays in your cloud account, prompts and retrieval are scoped per user, and we never train shared models on your data.

More answers in the FAQ

Next step

Have a project in mind?

Tell us where you're heading. We reply within two working days with a point of view and a plan for the first conversation.

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