Technology · AI · GTM

Where deep tech
meets business.

I work at the intersection of technology and go-to-market — helping companies navigate complex software decisions and thinking out loud about how AI is reshaping the way B2B teams operate.

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10+

Years in
B2B tech

Sales teams
built from zero

15+

Industries
covered

Continents
lived and worked

About

The best people in technical sales aren't the smoothest talkers — they're the ones who actually understand the technology, can simplify it, and take a consultative approach with their customers. This is how value is added.

I have a Master's Degree in Mechanical Engineering from Aalto University. Spent my early career at Metso managing global supply chains and leading a global team sourcing parts across three continents. I then found the world of software sales and joined Sievo — a B2B SaaS company focused on Procurement Analytics. At Sievo, I built our US presence from scratch to 1/3 of the ARR and later led the company's global Account Management organization. After Sievo, a stint at CybExer Technologies, learning the world of cyber security, building CybExer's SaaS sales from the ground up.

I currently work at Qt Group, where I lead global sales for Software Quality Solutions — working with engineering leaders and decision-makers across industries, mostly on embedded software projects.

My work has taken me to live and work in three continents, and I've been managing multi-national teams located across the world for 12+ years.

"Most companies are either ignoring AI or overclaiming it. The interesting work is in the middle."

I think AI is the most consequential thing happening in technology right now — and that most of what gets said about it is wrong in both directions. That gap is what I find interesting: not the version from the stage at conferences, but the practical, day-to-day reality of what actually shifts starting now.

I come at that from two directions. One is commercial: what AI does to how B2B teams sell, qualify and decide. The other is Physical AI — what happens when the models move off the screen and into cars, robots and machines that have to be safe as well as clever.

The shift isn't about tools. It's about workflow and people. Teams that redesign how they work around AI will outperform the ones that just add AI on top of the old way. The gap between those two groups is already opening up.. and it will not close.

I've spent the last couple of years studying this closely — what the leading teams are actually doing, where the real productivity gains show up, and what separates genuine transformation from expensive experimentation. Some of it I've built myself, mostly to find out where the limits actually are.

Some of what I've learned and created, I will share with you here.

Projects

Physical AI

GTC Berlin: AI is moving into the physical world

Automotive

The car became a consumer electronic — notes from a week in Shanghai

AI · Hardware

Pörssisähkö — Physical Ticker Device

AI · Physical AI

What the NVIDIA HALOS announcement means for the commercial side of Physical AI

AI · Procurement

Will AI replace traditional Spend Analytics tools?

AI · Fun

Vibe Calculator v2 — a TI-86 in your browser

AI · GTM

Claude the sales enablement agent

I lead the Software Quality Solutions (SQS) business unit's commercial functions at Qt Group. Our tools portfolio is wide — covering everything from frontend UI testing to backend headless embedded development tools. These tools didn't grow organically within Qt; they came through a series of acquisitions, each bringing its own documentation, its own positioning, its own buyer personas.

What that means for our sales organization is a lot of enablement. A lot.

The typical path to product training looks like this: take a highly knowledgeable person, have them do a brain dump into a document — usually a PowerPoint, usually around 100 pages — then schedule an hour, maybe half a day if you're lucky. The outcome? Reps already stretched thin by their day-to-day work capture maybe 10% of the content. So, you re-train. You record sessions. You build shared material libraries that very few open.

One Saturday, I had a different thought: what if we flip the script?

Give Claude access to everything and make it an interactive Q&A tool. A 24/7 product manager. A sales enablement rep that never gets tired of answering the same question for the fifteenth time.

In practice, here's what I built

Connected Claude to our company SharePoint, Confluence, and product websites
Pointed it at the relevant materials and had it work through hundreds of pages of documentation and presentations
Asked it to build a simple web frontend with product categories and a Q&A bot

SQS Enablement Agent — built with Claude

One day of work. The result isn't perfect — it's a prototype, not a product. But it changes something fundamental: a new rep can now ask "what's the difference between Squish and Coco?" or "how do we position against competitor X?" and get a sourced, accurate answer immediately. At 11pm. Without bothering anyone. Your product manager and sales enablement rep, available 24/7.

More updates to come as we roll this out.

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AI · GTM

The poor man's Gong — why AI is shaking the SaaS world

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