Service 02

Machine Learning

We train predictive models on the client's real historical data — combining LSTM, CatBoost, and LightGBM architectures — and deploy them as synchronous APIs with confidence intervals.

Scope

Defined around business priorities and delivery feasibility.

Outcome

A practical solution the team can adopt and measure.

Delivery

Structured, collaborative, and designed to reduce risk.

Illustration of a predictive machine learning model generating estimates from historical data

What this service covers

Focused delivery around the parts of the project that matter most.

We start with the commercial problem, then shape the technical solution so it stays practical, measurable, and aligned with the team.

Cost estimation and demand forecasting with real data

LSTM + CatBoost + LightGBM models in production

API deployment with confidence intervals

Integration with web and desktop applications

Discuss this service

Delivery style

A clear process built for teams that need confidence, not complexity.

We define the problem, shape the path forward, and validate the scope before expanding execution.

The result is a service engagement that feels disciplined, direct, and easy to align with internal stakeholders.