Forecasts, anomaly detection, document processing and assistants that answer questions about your business. We start from a business decision that AI should improve and deliver models that run in production.
AI is worth it where decisions repeat, data exists and mistakes are expensive.
Budgets and targets are based on last year plus a guess.
Clients leave quietly, and by the time it shows in revenue it is too late.
Unusual transactions and pricing errors are found in audits, not in real time.
Too much stock in one place and shortages in another; shifts don't match demand.
Invoices, contracts and forms are read and re-typed by people.
New employees ask the same questions, and answers depend on who is available.
Practical models with a clear owner and a measurable effect.
Every model is connected to your dashboards and processes, so its output leads to an action.
Situation Buyers order stock based on experience.
Effect Fewer shortages and less cash frozen in stock.
Situation Regular clients stop coming and nobody notices.
Effect Retention starts before the client is gone.
Situation Accountants retype hundreds of supplier invoices.
Effect People check exceptions instead of typing.
Situation Staff ask managers the same questions every day.
Effect Faster onboarding and consistent answers.
We use the simplest approach that reaches the target quality, and go custom only when it pays off.
Large language models, OCR and forecasting services configured for your data and processes.
Models trained on your history in Python, deployed in your cloud and monitored for quality.
Where data must stay private, we use models hosted in your own cloud.
We pick decisions where AI gives measurable value.
We check whether the data is enough and what is missing.
A working model on your data with honest quality metrics.
Integration, monitoring and team training.
Retraining and new use cases as your data grows.
AI use cases start with a diagnostic from AED 7,500. Production solutions are delivered within the Management System Sprint, from AED 35,000. See pricing
Often yes, but not always. The data audit shows what is possible now and which data to start collecting.
We choose models and hosting based on your privacy requirements. Sensitive data can stay in your own cloud, with models that do not train on it.
We agree on a quality metric and a target before building, and show real accuracy on your data during the prototype.
AI suggests and flags; people decide where it matters. We design human review into every critical process.
With one decision that repeats often and costs money when it goes wrong: purchasing, pricing, churn or document processing.
Tell us briefly about your company and what you want to improve. Max will reply personally and propose a time for a call.