myBytes GmbH

VERIFIED 3 REFERENCES

myBytes GmbH Alternatives

Vention
4.9
1,001-5,000
New York

Software Development
App Development
Web Development
Blockchain & Web3
Your data knows more than it tells you.

Profile Overview

About myBytes GmbH

myBytes is a data science and AI consulting company based in Hamburg’s HafenCity. The GmbH was founded in 2026 by Guido Winger and Mariusz Pianowski. Both have been building software for real-world, productive use since the early 2000s. Guido Winger developed and oversaw the e-commerce platform xt:Commerce and led the company as managing director until 2010. Mariusz Pianowski has been developing and scaling production systems for over 20 years, including at mobile.de. The starting point is deliberately low-barrier: data quality checks and AI readiness assessments for a fixed price starting at €650 net. Building on that, we create tailored machine learning models for demand forecasting, time series, anomaly detection, and recommendation systems—if desired, all the way into operations with MLOps. Every deliverable comes as a management report and is quoted in euros. Analyses are performed preferably in the customer’s environment, so sensitive data doesn’t have to leave your premises. Both founders hold certificates from MIT Professional Education’s Applied AI and Data Science Program and are Deep Learning Specialists with the Bitkom Academy. Project leadership is backed by Scrum.org certifications (PSM II and PSPO II). Registered as myBytes GmbH with the Hamburg district court (Amtsgericht Hamburg), HRB 197538. Learn more at mybytes.com.

Do you have any questions about this information?

Contact the vendor and get feedback on your queries in a timely manner.

Locations


Hamburg

Am Kaiserkai 69
20457 Hamburg (DE)
+49 40 60940415

Services

60%
25%
15%

BI & Big Data Segments

25%
25%
25%
25%
  • Marketing Analytics: 25%
  • Compliance & Risk Management: 25%
  • IT Security & Crime Prevention: 25%
  • Operations & Process Optimization: 25%

Artificial Intelligence

30%
5%
15%
5%
10%
10%
5%
20%

Consulting

20%
20%
20%
20%
20%
Do you need any of these services?

Contact the service provider and receive an appropriate offer in a timely manner.

Team

myBytes keeps it intentionally small: when someone reaches out, they speak directly with one of your two founders. Guido Winger comes from e-commerce. He co-founded the open-source shop software xt:Commerce and led the company as CEO until 2010. Today, he focuses on data science, forecasting, recommendation systems, pattern recognition, prediction, and deep learning. Mariusz Pianowski has been building production systems for more than twenty years, including at mobile.de, Motoso, and Alphaonline. His strengths are data architectures, system integration, and customer analytics—the bridge between grown-up, established IT and a model that works in everyday operations, delivering business-relevant, decision-ready, and understandable data. Together, they built extensive training in AI at various well-known academies, earning certificates from MIT Professional Education’s “Applied AI and Data Science Professional” program and as Deep Learning Specialists from the Bitkom Academy. We publish our work as case studies with open code, which you can read at https://mybytes.com.

Do you find this team interesting?

Contact the vendor and get feedback on your queries in a timely manner.

Portfolio

Downloads

Projects

Commodity Intelligence: Volatility and Market Regimes for Soft Commodities

Case Study by myBytes GmbH

Commodity Intelligence: Volatility and Market Regimes for Soft Commodities

Consumer Goods and Trade

June 2026
July 2026

Artificial Intelligence

Sample Forecast


Description

Ongoing in-house research program on agricultural commodities (coffee, cocoa, sugar): when do markets change their behavior, and how well can we predict risk and volatility? Results are published as research articles on mybytes.com, each with a companion repository.

Challenge

Raw material prices swing between calm and turbulent phases. If you’re planning purchasing or hedging, you don’t need a point forecast—you need an honest picture of uncertainty, and models that perform in backtests rather than just looking good in hindsight.

Solution

Start with a transparent baseline: GARCH volatility models with a reproducible backtest design as the benchmark—then build on that with hidden Markov models to detect market regimes. Each stage is compared against the simpler one, and the code is fully open.

Results

A documented, reproducible model pipeline from the baseline to regime detection, published as a series of articles with open-source repositories. The methodology forms the foundation of our forecasting consulting for demand and pricing data in the mid-market.

Do you have a similar project?

Contact the service provider and receive an appropriate offer in a timely manner.


Further case studies of the provider
Do you have a similar project?

Contact the service provider and receive an appropriate offer in a timely manner.

Rating Overview


Overall Rating

0.0
0 Reviews
Have you already worked with this provider? Leave a Review

reviews

Feedbax reviews

Have you already worked with this provider?
Guido Winger | myBytes GmbH
Analyze profile with AI

Cookies and other technologies

Feedbax uses cookies and other technologies to optimize the content for you and to continuously improve the user experience. In the settings you can choose which of them you want to allow. You can find more information in our Privacy Policy. Technically necessary cookies are also set when you select reject.

Logo