Skip to content
Glenfield Analytics

Approach

Start with the end in mind, then work backwards

We don't follow the hype or implement technology for the sake of it. Every engagement begins with the business result and the metric that proves it, and ends with a system your people own.

Four commitments on every engagement

  1. 01

    Outcome first

    We start with the result that matters to you and work backwards to the data, models and systems that produce it.

  2. 02

    People decide

    AI explains and recommends. Your officers, officials and operators make the decision, and every choice is logged with its evidence.

  3. 03

    Sovereign by design

    Systems and data are hosted where you need them: in-country, in your own cloud tenancy, or on premises, with security aligned to ISO/IEC 27001.

  4. 04

    Explainable and auditable

    Each score or flag shows the reasons behind it, stores its inputs and model version, and stands up to challenge.

How we deliver commercial value

  1. 01

    Revenue Increase

    We leverage AI and Machine Learning's advanced analytics to derive insights that enable our customers to produce more of their desired business outcomes.

  2. 02

    Cost Avoidance

    We leverage predictive analytics to surface unplanned incidents with the potential to wipe our customer's profit margins. Our insights provide recommendations before the cost is incurred.

  3. 03

    Cost Saving

    We leverage advanced analytics to derive insights on business areas where our customers could spend less than budgeted.

  4. 04

    Efficiency Gains

    We mentor teams and automate manual processes that save our customers valuable time.

What we build

Consulting advice is only half of it. We design, engineer and operate production-grade AI systems that our customers run their business on.

01

AI agents & assistants

LLM-powered agents grounded in your data, with retrieval, tool use, evaluation harnesses and guardrails built in from day one.

  • LLM
  • RAG
  • Agents
  • Evals
02

Predictive & prescriptive models

Forecasting, anomaly detection, risk scoring and optimisation models that surface what will happen next and recommend what to do about it.

  • Forecasting
  • Anomaly detection
  • Risk scoring
03

Data & ML platforms

Cloud-native or on-premises lakehouses, feature stores and MLOps pipelines that take models from notebook to monitored production reliably.

  • Lakehouse
  • MLOps
  • Sovereign hosting
04

Decision intelligence products

Consoles and applications that put recommendations, reasons and audit trails directly in the hands of operators, officials and executives.

  • Consoles
  • Audit trail
  • Benefits ledger
  1. 01

    Discover

    Define the business outcome and the metric that proves it.

  2. 02

    Prove

    A tightly scoped pilot on real data, measured against that metric.

  3. 03

    Build

    Production engineering: architecture, security, integration, change.

  4. 04

    Operate

    Monitoring, support and continuous improvement under SLA.

Our capability

We are focused on quality over quantity. Even though we possess the skills, we intentionally don't do everything.

A sequence of wireframe planes converging to a single line
01

Cutting-edge capability

  • Artificial Intelligence & ML
  • Team Mentorship
  • Capability Uplift
02

Cost effective delivery

  • Solution Architecture
  • Project Management
  • Change Management
03

Efficient operations

  • Support and Maintenance
  • Service Level Agreements
  • On-premises and Cloud

Let's talk about your outcomes

Tell us the business result you're after. We'll tell you honestly whether AI and analytics are the right lever, and what it would take.