team.blue Acquires AI Web App Builder Macaly

Dec 31, 2025
team.blue has acquired Czech-based AI web application builder Macaly, expanding its AI capabilities for small and medium-sized businesses across Europe.

team.blue has acquired Macaly, a Czech Republic-based AI web application builder founded in 2023. The deal adds Macaly’s AI-driven platform, which enables users to create full web applications using natural language prompts, to team.blue’s portfolio of digital services for small and medium-sized businesses.

Macaly’s platform generates production-ready web applications that include data, logic, and workflows, allowing non-technical users to build functional business tools without coding. It integrates hosting, content management, analytics, forms, databases, and deployment into a single environment.

Under the acquisition, Macaly will continue to operate as a standalone brand while also contributing its AI web app generation technology to team.blue’s hosting brands. The integration aims to provide customers with faster ways to create and deploy business applications using plain language instructions.

The Macaly team, led by founders Petr Brzek, Tomas Rychlik, and Martin Duris, joins team.blue’s network of over 4,000 experts serving more than 3.3 million SMBs in 22 countries.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like AI Funding Brief or Daily AI Brief.

Also, consider following us on social media:

AI Funding News AI Brief AI Brief (X)
Free newsletter

AI Funding Brief

AI Token Webinar

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more

You may also like

Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.