Managed AI-powered Software Innovations

MAISA

MAISA is the flagship project of the SW4E ecosystem, uniting leading Finnish universities, innovative companies, and professional networks to pioneer the integration of Generative AI in modern software development practices. The primary objectives are to increase efficiency in software development using AI, enhance trust and reliability in AI-driven systems, and develop customized AI solutions by leveraging the expertise of each participating partner.

Projektin tiedot

Projektin kesto

-

Rahoittaja

Business Finland

Rahoituksen määrä

318 750 EUR

Projektin koordinaattori

Muu yliopisto tai yksikkö

Yhteystiedot

Projektin vetäjä

  • Professor
    Burak Turhan

Projektin kuvaus

MAISA is a co-innovation project bringing together leading software companies, SMEs, and top research universities to transform how AI is used in software development, moving beyond individual productivity gains to team, organisational, and enterprise-wide impact.

The project tackles a critical challenge: while generative AI tools have proven their value for individual developers, scaling that value across entire organisations remains largely unsolved. MAISA addresses this by developing a new collaboration framework for AI-powered software engineering, built around three core pillars:

  • Hybrid intelligence — integrating human and AI capabilities into the structures, processes, and workflows of software engineering organisations
  • AI-powered development — embedding AI across the full software development lifecycle to boost quality and cut time-to-market
  • Trustworthy AI deployment — ensuring that the LLMs and AI tools adopted by organisations are secure, privacy-respecting, EU-compliant, and sustainably deployed

With a total budget of €4.3M and a consortium of 13 partners, MAISA targets a 30–40% improvement in software development productivity and establishes a shared open-source LLM testbed as a sovereign European experimentation platform. The results will benefit Finnish software companies directly and are expected to open significant export opportunities globally.