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Machine learning development services

Machine learning is worth it when it changes a decision: how much stock to order, which part is faulty, which customer is about to leave. We start from that decision and build the model around it.

Models are trained on your data, deployed with monitoring, and retrained on a schedule, so they keep working after the project ends.

Analytics dashboard with charts and forecasts

What we build

Demand forecasting

Predict sales and stock needs by product, store, and week.

Computer vision

Detect defects, count items, or read labels from camera images.

Recommendations

Suggest products or content based on behavior and similarity.

Anomaly detection

Flag unusual transactions, sensor readings, or energy use.

Document processing

Pull data out of invoices, forms, and scanned documents.

Monitoring and retraining

Track accuracy over time and retrain when data changes.

Industries we work with

RetailDistributionManufacturingEnergyFinanceAgriculture

How it works

  1. 01

    Free consultation

    Send a short brief. We reply within one business day and book a 30-minute call.

  2. 02

    Written quote

    You get a scope document with milestones, a timeline, and a fixed price or monthly rate.

  3. 03

    Build and demo

    We work in weekly sprints and show you working software at the end of each one.

  4. 04

    Launch and support

    We deploy, train your team, and fix any defects free for 90 days after launch.

How pricing works

Machine learning projects usually start with a short paid assessment of your data. That tells us whether the problem is solvable and what accuracy to expect before you commit to a full build.

Every quote is written, broken into milestones, and free. Payments are made as milestones are accepted, and every launch includes 90 days of free defect fixes.

Request a quote

Working with clients abroad

Clients on four continents

We work with businesses in Asia, Europe, North America, and Oceania.

Your hours, your tools

Calls in your business hours, updates in Slack, Teams, or email.

Clear contracts

Signed scope, milestone payments, and an NDA before discovery if you need one.

You own the code

Source code and infrastructure are yours on final payment.

Frequently asked questions

How much data do we need for machine learning?

It depends on the problem. Forecasting usually needs one to two years of history. Vision projects can start with a few hundred labeled images. We check your data before quoting.

What tools do you use?

Python, PyTorch, scikit-learn, and ONNX for models, with standard cloud services for training and deployment.

Can the model run on site without internet?

Yes. We can deploy models to edge devices and industrial PCs, which is common in factories and remote energy sites.

How do we know the model is working?

Every model ships with a dashboard that tracks accuracy against real outcomes, plus alerts when performance drops.

Related services

Tell us about your project.

Send a short brief and we'll reply within one business day with questions, a plan, and a quote.

Get a free quote