Big data architectures hold enormous potential. We help you set up fast and robust solutions that fully scale with your demand with our full expert service.
Big data architectures hold enormous potential. We help you set up fast and robust solutions that fully scale with your demand with our full expert service.
We develop custom-tailored and affordable migration plans to find secure cloud solutions that perfectly suit your budget and business needs.
We develop custom-tailored and affordable migration plans to find secure cloud solutions that perfectly suit your budget and business needs.
Discover how large language models (LLMs) can be integrated into enterprise applications and the benefits they offer.
Benefit from our knowledge and many years of experience. We offer both expertise and support to make your project a success.
We offer the full spectrum of development services and take care of the entire product life cycle for you. Batteries included.
We help you boost your teams' skillset with lean and practical trainings delivered by experts – remotely or onsite.
Explore our projects to see examples of the successful solutions we've delivered for our clients. Don't miss our success stories in the green tech industry.
Organisations need to respond quickly and effectively to changing requirements, priorities and market conditions. That's why at Hivemind we rely on XP.
See our Tech Stack and explore the Software we use to develop your Project.
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Real-time data. Real-world impact.
Hivemind and Ververica — creators of Apache Flink — are redefining real-time stream processing. Together, we deliver enterprise-grade data infrastructures that power timely decisions, system resilience, and scalable growth.
From Kafka to Kubernetes, from architecture to enablement — we help organizations operationalize real-time data, securely and at scale.
Artificial intelligence (AI) and in particular the field of natural language processing (NLP) has made remarkable progress in recent decades and has become a central element of modern technology applications. Large language models (LLMs) have the potential to fundamentally change workflows and business models. In the modern business world, these technologies have already become indispensable tools. They enable large amounts of data to be processed efficiently, complex patterns to be recognised and personalised interactions to be provided in real time.
We are a software engineering consultancy and IT service provider with a conscience. We choose our customers cautiously: No fossil fuels, no military, no surveillance industries. Our offices are, of course, fully powered by green electricity.
We want to empower everyone to live up to their potential, all the while staying healthy and having a good work life balance. We want everyone to shape their lives according to their needs and circumstances, instead of servitude for the company.
At Hivemind, we cherish the richness that can arise from cultivating a diverse, humane culture of openness, respect and mutual trust. We are kind. We are respectful. We are Mentors and Mentees. And most important: We trust our employees. We are creating a supportive and nurturing environment for our team. We want to challenge not only the the status quo of software development but of work life itself. We welcome people who share our values and support improvements of human interaction, fairness and sustainability – on all levels.
Our consultancy unit provides in-depth knowledge of modern data technologies, automated processing in Big Data environments and scalable data centre operations in cloud (AWS, GCP) and hybrid environments.
We aim for logic and structure while avoiding unnecessary complexities and waste, we develop and scale projects bottom up. We build stable and high quality software fast – in small increments, without unnecessary detours. This involves non-negotiable terms with our custumors.
Our strict "no bullshit" approach is key to success. We radically cut the BS out of software development. Unnecessary bureaucracy and ceremony and the pursuit of fancy anticipatory implementations are waste which jeopardise fast feedback cycles and high quality, simple and robust software delivery.
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