Kipinä is now a Certified B Corp. The international B Corp certification confirms our commitment to responsible digital development, transparent business practices, and sustainable software business. The certification highlights how we combine technology, business goals, and long-term impact—measurably and independently assessed by a third party. Read what the certification means for our customers and check out our 2026 sustainability report.

In theory, closed AI models running on external servers would be enough. In reality, organizations must consider risks related to information security, geopolitics, bias, service availability, and cost control. One practical way to gain more control is running and fine-tuning open-weight models on your own hardware. In this post, Jari shares what it took to build and run a local AI workstation at Kipinä — from key decisions to real-world hurdles.

Kipinä Breakfast Club brought together 40 business leaders and digital decision-makers to discuss artificial intelligence, cybersecurity, and the future of digital development. Five key themes emerged from the discussion: trust as a competitive advantage, the role of people in the age of AI, psychological security, resilience, and structures that enable new value—based on the Collective Vision 2026 concept.

In the rapidly evolving landscape of technology, we are forced to ask ourselves a difficult question: in one word, what human skill is the most crucial in the age of AI?

As we're heading into 2026, businesses must prepare for a future where humans and machines collaborate rather than compete. But with AI becoming exponentially better, why should humans keep learning at all?

AI can write code in a few hours, but understanding and security are not as fast. This lightweight experiment revealed how AI-based software development can produce serious vulnerabilities if good practices are not followed - and why the role of humans as code understanders is still invaluable.

The Nordic Business Forum 2025 provided guidelines for the future. We picked up four insights on technology, culture and leadership - read the Kipinä round-up.

Agentic coding is revolutionising software development. When combined with documentation, test-driven development and quality management, AI agents can accelerate coding and deliver sustainable business growth. The Artificial Septelligence event delved into real-world examples of how AI is transforming everyday software development.

The next phase of AI requires more than the latest technology: it is built on accurate problem definition, quality data, business-savvy implementation, strong security and humanity alongside technology. Kipinä's experts unveil five insights to help make AI solutions truly scalable, secure and relevant.

Artificial intelligence has been used in digital solutions for a long time, but right now the pace of progress is exceptionally fast. Jari Huilla, CTO of Kipinä, stops to ask: what is the essence of the current challenges in the limited context of large-scale language models? So take a peek under the hood at the mathematical constraints of transformer architecture and insight into how to live with these constraints now and in the future.

Empathy, ego and AI - what happens when humans dare to be incomplete in the presence of AI?
Agile Coach Arto Kellokoski discusses the interplay between AI and humanity in his blog. He writes about psychological safety, the impact of ego on decision-making and how AI can act as an emotional partner - not just for efficiency, but for reflection and presence.

There is a lot of talk about AI solutions, but less about what they are actually built on. The answer is simple: data. And not just any data, but high-quality, reliable and business-driven data.

In a blog series, Kipinä consultant Antti Rintala has summarised the kind of foundation required for the use of artificial intelligence. In this compilation, we bring together key perspectives that help build a solid foundation not only for AI solutions - but also for sustainable knowledge management in business.

An AI solution often sounds like it involves a huge amount of maths, black boxes and consultant jargon. But when you look at the practical level, building an AI product is ultimately not so mysterious. It requires the same as any successful product: a clear problem, a bold vision and a good team.

In this blog, I'll open up about two very different Kipinä customer cases - and what we learned with them about building an AI product. The first story starts with the everyday life of a doctor. The second starts from a global goal to make ESG measurable.

Kipinä Software is growing and evolving, and now our team of top talent is getting a new addition: from the beginning of April, Jari Huilla will start as Kipinä's Chief Technology Officer (CTO).

Jari's unique journey into technology started at the age of 9 with coding and his career took off at the age of 15 at Nokia Research Center. That's more than 20 years later, and it's included entrepreneurship, startups, growth companies, projects from small to large, and roles from coder to executive.

There is a significant focus on accessibility, and it is seen as an equally important part of application development as any other aspect of the development process. Therefore, as a developer passionate about accessibility, it has been great to be involved in building Otava's new digital learning platform. Read the blog to learn more about how accessibility has been built into the development of Otava's services.

Every coder recognises the risk of relying on something - a third-party library, a ready-made solution or even a colleague's recommendation - that you don't fully understand, due to the rush, pressure and your own high standards. Attending the annual AWS re:Invent technology conference in Las Vegas really made me realize my responsibility as a developer when using AI-generated code.

"As coders and customers, are we sufficiently aware of the race between AI and security in software development? Do we recognize the risks of the rush and the ever-increasing pace?"

Planning and preparing digital projects is always a particularly challenging and time-consuming process. Complexities and solutions that require strong technical expertise are the source of many headaches, and a sense of uncertainty creeps into the buying process. At its worst, the process is heated by the worst poison of all - haste. How to choose the right partner for your digital development project? What external expertise is needed? What will it all cost?

Have you noticed how some team members not only perform the tasks assigned to them, but bring real value to the table, raising the performance level of the whole team? Renowned researcher and management consultant Liz Wiseman calls these individuals 'Impact Players'. Delving deeper into the idea of the 'Impact Player', we identified five situations that are also common in IT development and decided to tackle these situations from the perspective of the Kipinä Senior Tech Leadership model.

Have you noticed that when discussing data, the conversation quickly turns to typical challenges such as data quality, architecture or utilization - rather than the opportunities it offers? We put together a list of common challenges and alternative ideas to help us move our customers towards a culture where data conversations focus on the true competitive advantage of data and its smooth exploitation against the backdrop of AI, rather than on problems.

Building a software is difficult. Yet many people think that coding is just coding, or that the hourly rate of two IT consultants automatically means the same quality. But experience has taught us what it takes to take basic chemistry to the top. That's what this article is all about!

Technology is evolving faster than ever before, while IT challenges themselves are becoming increasingly complex. Read on and find out how to overcome the most common challenges in the IT environment to pave the way for a more sustainable way for technology development.