AI and automation
Machine learning development that turns data into decisions
Your sales, transactions and operations data already contain patterns. We build models that forecast demand, flag risky transactions, recommend the next best product and predict which customers are about to leave.
What is machine learning development?
Machine learning development is the process of preparing data, training statistical models that learn patterns from it, validating their accuracy and deploying them so other software can use their predictions. It covers forecasting, classification, recommendation, anomaly detection and ranking problems.
What our machine learning development covers
Prediction, classification and recommendation models trained on your business data.
Demand forecasting
Daily and weekly forecasts by product, store or region to plan stock and staff.
Fraud and anomaly detection
Unusual transactions, claims or logins flagged in real time.
Credit and risk scoring
Explainable scorecards for lending and collections decisions.
Recommendations
Product, content and course suggestions that raise order value and engagement.
Churn prediction
Customers at risk identified early with the reasons behind the score.
MLOps
Versioned data, automated retraining, drift alerts and model registries.
How we approach machine learning development
A simple, well tested model running in production beats a complex one stuck in a notebook. We focus on clean data pipelines, honest validation and deployment from the start.
Models drift as markets change, so every deployment includes monitoring and a retraining plan.
Every project starts with a short discovery call and ends with software you own: source code, data, cloud accounts and documentation are handed over in your name.
Modules and features
Built for
Technology we use
From first call to launch
The same five stages for every build, with a working demo at the end of each sprint so you see progress, not promises.
Discovery
We map your process, users and data, agree the first release and give you a fixed price for it.
Design
Clickable prototypes of the key screens, reviewed with the people who will use them every day.
Build in sprints
Two week sprints with a demo each time. You can change priorities between sprints.
Test and launch
Functional, security and load testing, data migration, training and a planned go live.
Support and grow
Monitoring, fixes and new features on a monthly plan, or a clean handover to your team.
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Learn moreQuestions about machine learning development
How much data do we need for machine learning?
It depends on the problem. Many forecasting and scoring models work well with one to two years of clean history. We assess your data in the first week and tell you honestly if it is enough.
Can the model explain its predictions?
Yes. We use explainable methods and feature importance reports, which matter especially in lending, insurance and healthcare.
Who maintains the model after launch?
We offer monitoring and retraining support, or we hand over documented pipelines to your team.
Do you work only in Kolkata?
Our engineering team is based in New Town, Kolkata, and we work with clients across West Bengal, the rest of India and overseas. Most projects run remotely with weekly demos, and we meet in person when it helps.
Get a free scope for your machine learning development project
Share three details. A senior engineer from our Kolkata team will call you, understand the problem and send a written scope with timeline and cost. No obligation, no spam.
- A short call with an engineer, not a salesperson
- A written scope: modules, technology, timeline and fixed cost for phase one
- Honest advice, including when an existing product fits better than custom code