AI applications
Assistants that answer from a client's own documents, automated document processing, and prediction built into the tools their staff already use.
Loreon Technologies Limited · RC 7803910 · Abuja · Worldwide
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
What we've built
Most of our delivered work falls into three categories. Each system below is in operational use.
Assistants that answer from a client's own documents, automated document processing, and prediction built into the tools their staff already use.
End-to-end platforms to run a business day to day: records, workflow and approvals, billing, staff, scheduling, and reporting across all of it.
Operational and executive reporting built on a maintained data pipeline, with one agreed definition per metric and automatic refresh.
Why Loreon
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 builtThe 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.
Version control, peer review, automated testing, staged environments and monitoring are standard on every project, including when a deadline moves.
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.
Documentation, runbooks and hands-on sessions ship with the build, so your team can operate and extend the system themselves.
Our products
Products we build, own and operate ourselves. All three are live, and each one has shaped how we work for clients.
Customer messages arrive at every hour and are mostly the same few questions. Anything sent after closing waits, and generic chatbots answer confidently with things the business never said.
An agent that answers only from the business's own knowledge base and cites its source. It keeps a separate memory per customer, so a returning enquiry continues instead of starting over.
Enrolment, results, fees and staff records sit in disconnected spreadsheets, so the same pupil is recorded four times and no figure agrees. Software built for one school rarely fits the next.
One platform, an instance per school, no school-specific code. The database enforces the boundary itself, so a query that forgets to filter returns nothing rather than another school's data.
People set goals and drop them within weeks. Habit apps hand everyone the same checklist and cannot tell why it stopped working, leaving the person to assume the fault is theirs.
A partner that interviews you before suggesting anything, builds a path around your circumstances, and adapts as they change rather than resetting a streak counter.
Services
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.
Custom software across web, mobile, desktop and cloud, plus the integration, infrastructure and consulting work that makes it dependable. Including enterprise platforms and modernisation of systems that have outgrown their original design.
Applied AI with a job to do: workflow and document automation, assistants grounded in your own knowledge base, language and vision models, recommendation engines, and the evaluation harnesses that keep all of it honest in production.
Forecasting, scoring, segmentation, anomaly and fraud detection, modelled on your data, validated properly, then deployed with monitoring so drift is caught before it costs anything.
Pipelines, warehousing and metric definitions everyone agrees on, then the dashboards and reporting built on top of them.
Loreon Academy: structured tracks in data science, analytics and software engineering, one-to-one mentorship for people switching into tech, and private upskilling for teams already in motion.
Method
Every engagement runs these four phases in order.
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.
Architecture, data model and interface direction: costed, sequenced, and scoped so the first useful thing ships early.
Short iterations against a working environment, with a demo every fortnight. Tests and documentation are written alongside the code.
Monitoring, runbooks and training sessions with your team. Support remains available for as long as you want it.
Loreon Academy
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.
Sessions are taught by the engineers who do our client work. Past streams are on the Data with Dami channel.
Next step
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.