AI model training in Sri Lanka
We train models on your data and test them against your real cases. We also build optimisation for problems like scheduling and dispatch, where the best answer is hidden among too many options to check by hand.
Who it is for
Businesses with data they already collect, such as orders, deliveries, sensor readings or images, and a decision they make over and over: how much stock to hold, which vehicle takes which job, whether a part passes inspection.
We also tell you when AI is the wrong tool. If a clear rule or a simple report solves the problem, that is what we will recommend.
What we build
Forecasting
Demand, stock and workload forecasts built from your own history, with the error range stated plainly.
Classification and machine vision
Models that sort, tag or inspect, including cameras that check items on a line.
Scheduling and dispatch optimisation
Assignment and routing models that find good plans across many vehicles, jobs or machines.
Evaluation first
We agree how the model will be judged before training starts, using cases from your business.
Deployment
Models delivered as a service your systems can call, or running on the device itself.
Keeping it current
You receive the evaluation set and a plan for retraining when your data changes.
How a project runs
Define
We write down the decision the model supports and what a good answer looks like.
Data
We check what you have, clean it, and hold back real cases for testing.
Train
We train and tune until the model clears the agreed evaluation, and report where it still fails.
Hand over
The model, the evaluation set, the code and a plan for keeping it current.
Related work
Questions we are asked
Do we have enough data?
Often less is needed than people expect, and sometimes more. We look at what you have in the first week and tell you honestly whether a model is worth training yet.
What is the difference between machine learning and optimisation?
Machine learning predicts something from past data, such as tomorrow's demand. Optimisation chooses the best plan given the constraints, such as which driver takes which delivery. Many real problems need both.
Who owns the model?
You do. You receive the trained model, the evaluation set and the code used to train it.
Can the model run on our own servers or devices?
Yes. We can deploy to your servers, a cloud account you own, or directly onto a device when data should not leave it.
Tell us what you are building. We reply within two working days.
Talk to us