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Software Quality Lab GmbH

Company (AI Solutions Provider)

www.software-quality-lab.com/Linz, Austria
22 profile visits

About

Technology

Software & ITSecurity

Services

Strategic ConsultingTechnical ConsultingEducation

Other

Consulting Services

Additional Information

ID (optional)

3165534

Legal form of Organisation

GmbH

Representatives

CEO

Software Quality Lab GmbH

Senior Consultant & Teamlead AI

Software Quality Lab GmbH

Chief Revenue Officer

Software Quality Lab GmbH

Marketplace (6)

  • Service

    AI SDLC Assessment

    We are your partner to assess where AI helps your software engineering lifecycle — and where it hurts. Our AI SDLC Assessment is a structured consulting engagement that evaluates AI opportunities and risks across your software engineering lifecycle.

    • Coaching
    • Consulting
    Author

    CEO at Software Quality Lab GmbH

    Linz, Austria

  • Expertise

    AI in the SDLC

    Expert support for the introduction of AI solutions within organizations — from conception through testing and rollout

    • Consulting
    Author

    Senior Consultant & Teamlead AI at Software Quality Lab GmbH

    Linz, Austria

  • Expertise

    AI Coaching

    Individual coaching for teams and individuals on the practical use of AI tools in everyday work

    • Consulting
    Author

    Senior Consultant & Teamlead AI at Software Quality Lab GmbH

    Linz, Austria

  • Expertise

    AI Agents in the Atlassian Environment

    Design and deployment of AI agents to support workflows in Jira, Confluence, and related tools.

    • Consulting
    Author

    Senior Consultant & Teamlead AI at Software Quality Lab GmbH

    Linz, Austria

  • Expertise

    Azure OpenAI Expertise

    Technical and organizational consulting in the area of implementing AI solutions based on Azure OpenAI Service

    Author

    Senior Consultant & Teamlead AI at Software Quality Lab GmbH

    Linz, Austria

  • Service

    AI SDLC Services - Target Operating Model

    AI is reshaping the software engineering lifecycle. An AI-enabled Target Operating Model defines how AI agents and human accountability interact: AI handles rule-based tasks, humans hold review gates. The result: controllable, traceable, measurable AI use

    • ICT
    • Consulting
    Author

    Chief Revenue Officer at Software Quality Lab GmbH

    Linz, Austria