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Custom

Custom Python Software Development

From automating repetitive tasks to advanced data analysis - Python is our language for solving complex problems.

Recognize these problems?

Most companies struggle with the same challenges. We know how to solve them.

Company data is scattered and unusable

Data sits in Excel, PDFs, databases, and emails - but you can't connect them or draw insights. Analysis is manual, taking days instead of minutes.

Repetitive tasks consume expert time

Your best people spend hours generating reports, processing files, updating price lists. This is work a script can do in 5 seconds.

No API for system integration

Your systems can't talk to each other. No API means manual data transfer, duplicates, and errors. You need an integration layer.

What can we automate?

Concrete rollout scenarios we deliver for our clients.

REST API and microservices

We build APIs in FastAPI/Django REST that connect your systems, share data with partners, and power mobile apps. Swagger docs, automated tests, monitoring.

Data processing automation

Python scripts automatically extract data from various sources, clean, transform, and load to warehouse. Instead of 4h manual work - 30 seconds automatically every night.

Data analysis and predictive models

Predictive models on your data: sales forecasting, customer risk assessment, anomaly detection, price optimization. We use proven Python data analysis libraries.

Why ITEON?

We are not a typical software house. We understand the problem first, then build the solution.

Financial-sector standards

Experience gained on projects for PKO Bank Polski, BFG, Generali and Compensa VIG. The same security standards in every project.

Fast rollout

First results in 1-2 weeks. An MVP approach: we start with what delivers the most value.

Post-rollout support

We don't leave you after go-live. Maintenance, monitoring, training and system growth under contract.

Advisory, not just coding

We analyze your problem first. Often a simple solution beats an expensive rollout.

How we work together

A proven process that minimizes risk and maximizes value.

1

Analysis

Free consultation. We learn your processes, identify bottlenecks and automation opportunities.

2

Prototype

In 1-2 weeks we build a working prototype. You see results before committing to a full rollout.

3

Rollout

We deploy a production solution with tests, documentation and training for your team.

4

Support

We monitor, optimize and grow the solution. We are with you at every stage.

Frequently asked questions

Why Python, not Java or .NET?

Python is the best choice for data analysis, ML, automation, and rapid prototyping. It has a huge library ecosystem (pandas, numpy, scikit-learn). For large transactional systems, we recommend Java/.NET. We match technology to the problem, not vice versa.

How much does a Python project cost?

Automation scripts cost $800-2,500. REST API costs $4,000-10,000. ML system costs $7,500-25,000. We start each project with analysis and estimation - free consultation helps set the budget.

Can you take over maintenance of existing Python code?

Yes. We audit code, assess quality and security, then take over maintenance. Often the first step is refactoring and adding tests, which reduces long-term maintenance costs.

Let's talk about your project

Book a free consultation. We will analyze your processes and propose a concrete solution. No commitment.