Machine learning that knows your business, not just the internet.
General AI models know a lot about the world and nothing about your stock, your customers or your machines. We train and tune models on your own data, then embed them where decisions are made: in billing, purchasing, the shop floor and your apps.
Model types we deliver most
Demand, cash flow, footfall and staffing, by SKU, store and season.
Flags unusual transactions, readings and patterns as they happen.
Reads bills, prescriptions and forms. Spots empty shelves and defects.
Assistants and classifiers in Hindi and English, tuned on your content.
What to upsell, reorder or substitute, per customer and product.
Lead, churn, credit and risk scores built from your own history.
Paracetamol 650 · Andheri
Next 8 weeksAnomaly model · live transactions
SampleFrom your data to a model in daily use
One clear measure, such as fewer stock-outs or fewer wrong entries.
Connect, clean and label the data you already have.
Try approaches, test on unseen data, and pick on accuracy and cost.
Put the model inside the screen, bot or device where the decision happens.
Track accuracy monthly and retrain as your business changes.
Questions about custom models
How much data do we need?
It depends on the problem. Forecasting usually needs at least a year of sales history. Document reading can start with a few hundred labelled samples. We check during the audit.
Do you build models from scratch or use existing AI?
Both. We use proven open and commercial models where they fit, and fine-tune or train our own when your problem needs it. The choice is about accuracy and running cost.
Where does the model run?
On Avinya Cloud by default. Some models, such as camera or sensor models, run on the local gateway so they keep working without internet.
Who owns the model?
Ownership of models trained on your data is agreed in the contract before work starts.
How do we know the model works?
We agree a measure of success upfront, test on data the model has not seen, and report accuracy every month after launch.
Have a decision you make every day with gut feel?
That is usually the best place for a model. Tell us about it.