The Philosophy of Raisond.tech
Exploring the meaning, intention, and impact of technology.
Mission
Raisond.tech is a place dedicated to the “why”, the impact and the meaning of technology that shapes our world.
The name is a play on raison d’être—reason for being. In a tech landscape obsessed with what new tools can do, this site pauses to ask why we are building them, what this can mean and how it might affect us. It is a response to the acceleration of technology and especially the AI boom.
The Author

Raisond.tech is written by me, Marcus Norrgren.
I have spent the last 15+ years working at the intersection of technology, business strategy, and product development. My background spans diverse sectors, especially after working in consultancy—including medical technology, logistics, forestry, and manufacturing—where I have focused on translating technical capability into operational value.
Currently, I serve as the National Data & AI Portfolio Lead for Sweden at Sogeti (Capgemini). For the last six years, I have specialized in data and AI, working across the full spectrum from technical architecture and solutioning to commercial strategy, business development and thought leadership.
My perspective is grounded in practice, not just theory. Whether co-founding the SaaS platform Lagerkoll or leading deep learning projects to detect forest damage via satellite imagery, detection of buffalo habitats with indigenous communities or defining LLM-based solutions, my work focuses on the “how” and “why” of technology, from purpose to implementation.
Disclaimer: This site is a personal research project and is not affiliated with Sogeti or Capgemini.
The Methodology
Transparency is the primary metric of this site. To avoid the “guru” trap, this site operates as an open notebook, categorized into three distinct modes of cognitive processing:
Thoughts (The Open Notebook)
Thoughts are the natural, passive stream of mental energy… Thinking is the active, conscious process of engaging with those thoughts.— Inspired by/from Josef Nguyen
This section captures the “passive stream.” These are field notes, initial sparks, and “what if” questions regarding technology and society. They are raw, personal, and the starting point for the “why.”
2. Articles (Grounded Research)
Here, thoughts are subjected to more rigor. These are structured arguments built on data, citations, and professional experience.
- Curated Dives: Synthesis of whitepapers, books, and market analysis.
- Grounded Arguments: Theses backed by specific references or anchored reasoning.
Note on AI: This site embraces “Human-in-the-Loop” writing. AI tools are used for research synthesis and drafting, but all arguments, final edits, and fact-checking are manual.
3. Experiments (The Lab)
Theory and sometimes thoughts requires testing. This section contains public case studies and live experiments or ideas on experiments. Some are larger, others are small.
- Current Project: The LLM SEO ‘Durable Ledger’ Test—a living document testing E-E-A-T principles in the age of AI Agents.
Principles
- Distinction: Clear separation between opinion (Thoughts) and analysis (Articles).
- Provenance: Sources and datasets are cited, writings are transparent and reasoning anchored and motivated.
- Failure: Negative results in experiments are published explicitly.
This is not a final set of answers, but a public record of a topic and discourse the writer feels passionately about and that warrants attention.
Selected Talks
- UN/ITU “AI for Good” Global Summit: Speaker on the utility of AI in sustainable resource management.
- Amazon re:MARS: Presentation on deep learning for forestry protection (Bark Beetle detection).
- Sogeti TestExpo Norway (in Swedish): Speaker on the application of Synthetic Data 2022.
- Global Hackathon Winner: One of the winning solutions for AI-based wildfire detection.
- Microsoft AI: Tutor part of the AI for Leaders course.
- Buffalo Habitat Project: Case study video on detecting habitats with indigenous communities.
Get in Touch, for inquiries: contact(at)raisond.tech