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Loreon Technologies Limited  ·  RC 7803910  ·  Abuja  ·  Worldwide

Systems that turn data into decisions.

We build software, deploy AI and machine learning systems, and turn business data into reporting people can act on. We work with organisations worldwide from our base in Abuja.

Capability index

  • 01 Technology Solutions
  • 02 Artificial Intelligence
  • 03 Machine Learning & Data Science
  • 04 Data & Analytics
  • 05 Mentorship & Training

What we've built

Delivered and
in daily use.

Most of our delivered work falls into three categories. Each system below is in operational use.

01

AI applications

Assistants that answer from a client's own documents, automated document processing, and prediction built into the tools their staff already use.

LLM applications Document AI Predictive
02

Operations management systems

End-to-end platforms to run a business day to day: records, workflow and approvals, billing, staff, scheduling, and reporting across all of it.

Records & workflow Billing Scheduling Reporting
03

Analytics dashboards

Operational and executive reporting built on a maintained data pipeline, with one agreed definition per metric and automatic refresh.

Power BI Data pipelines Automated reporting
2024 Incorporated under CAMA 2020
RC 7803910 Corporate Affairs Commission
Abuja Headquarters, serving clients worldwide
05 Service lines under one team

Why Loreon

How we
deliver.

Every engagement is led at director level. We scale through a vetted network of specialist engineers, analysts and designers, brought in for the work that needs them.

The process is written down, so a project follows the same path whoever is working on it.

Every engagement follows the same path: discovery, architecture review, short build iterations, code review, testing, deployment, handover.

How the team is built
01 · Senior

A director on every project

The people who scope your problem are the people who build the solution. We bring in specialists from our network where a project needs depth we do not carry in-house.

02 · Repeatable

A documented process

Version control, peer review, automated testing, staged environments and monitoring are standard on every project, including when a deadline moves.

03 · Accountable

Measured against a baseline

Each engagement opens with a baseline and closes against it. If a model or dashboard can't be tied to a decision someone actually makes, we say so before you pay for it.

04 · Transferable

Handover built in

Documentation, runbooks and hands-on sessions ship with the build, so your team can operate and extend the system themselves.

Our products

Software we
own and run.

Products we build, own and operate ourselves. All three are live, and each one has shaped how we work for clients.

Services

Five service
lines.

Engagements run from a two-week diagnostic to a multi-quarter build, staffed from the same team. Take one service line on its own or combine several.

Method

How an
engagement runs.

Every engagement runs these four phases in order.

Phase 01

Diagnose

Workshops with the people doing the work. We map the process, audit what data exists, and write down the decision we're trying to move.

Phase 02

Design

Architecture, data model and interface direction: costed, sequenced, and scoped so the first useful thing ships early.

Phase 03

Build

Short iterations against a working environment, with a demo every fortnight. Tests and documentation are written alongside the code.

Phase 04

Operate & hand over

Monitoring, runbooks and training sessions with your team. Support remains available for as long as you want it.

Loreon Academy

Training and
mentorship.

Loreon Academy runs cohort-scheduled training in data science, analytics and software engineering, alongside one-to-one mentorship, private sessions for teams, and internships. Recorded sessions are free to watch on YouTube.

  • T1 Data Science & Machine Learning
  • T2 Data Analytics & Business Intelligence
  • T3 Software Engineering
  • M1 One-to-one Mentorship
  • C1 Corporate & Team Training

Sessions are taught by the engineers who do our client work. Past streams are on the Data with Dami channel.

Next step

Start a
conversation.

Send us a short description of the problem. We will tell you whether we are the right team for it, and what the first two weeks would involve.