Custom SaaS
Internal apps shaped around how the team already works — not retrofitted to a vendor's model.
We help companies find the spots where AI saves real time and money — and build practical solutions that fit how your business actually works.
It's no longer a question of hiring more people or working harder. You get a layer of digital colleagues that pick up the tasks holding you back today — freeing you to focus on the work only you can do.
A close look at how your business actually runs, then we build what fits — Custom SaaS, Automation, or Business optimization.
How it actually runs day to day. What's working, what's friction, what's worth changing.
The few spots where Custom SaaS, Automation, or Business optimization saves real hours or real money.
Fast, well, and built to last. The kind of work that quietly pays off year after year.
Different problems, same philosophy: build around how your team already works, so the value shows up in week one — not in a roadmap.
Internal apps shaped around how the team already works — not retrofitted to a vendor's model.
Quiet processes that handle the work nobody enjoys, so the people are free for the work that matters.
An honest look at the workflow — sometimes the right answer isn't software at all.
Internal apps built for how your business actually works — chat assistants, classifiers, copilots wired into your real data.
Free your team from repetitive content work — drafting, repurposing, and publishing handled in the background.
Cut the admin overhead nobody enjoys — reports, handoffs, and approvals that move themselves.
These are the questions we hear week after week — about strategy, trust, readiness, vendors, and whether any of it actually pays off. The doubts that quietly stall good AI work for months.
“Our competitors keep talking about AI — are we falling behind?”
“We've tried a few tools, but none of them really stuck. What did we miss?”
“How do we tell which use cases are actually worth building?”
“Who in the team should own this — and how much of their time will it eat?”
“Half the team is excited, the other half is nervous. How do we move forward together?”
“Every vendor pitch sounds the same. How do we know who to trust?”
“Our data isn't exactly tidy. Are we even ready for this?”
“We ran a pilot last year and nothing came of it. How do we avoid that again?”
“How do we measure whether the AI work actually paid off?”
“A lot of what we read sounds like hype. What's real and what isn't?”
Got your own questions? We're ready to help — don't hesitate to reach out.
One engineer and three partners from Marketingfabrikken — joined up to build the AI side of the business.
Has been building on the web his whole life and has run his own software business for 13 years. Owns the engineering: tooling, builds, and the calls about what gets built and how.
Founder of Marketingfabrikken. Has worked deep in search optimization since 2015 — getting real results for small businesses, webshops, and large brands alike.
All-in on Google Ads since 2014. Has nerded out on the platform down to the smallest detail and turned it into processes that hold up across local accounts and international ones.
Started in Google Ads in 2014, then went deep on Facebook and Paid Social. Runs everything from small local accounts to large national and international ones.
Send us the one task or process you'd most like to fix. We'll read your message and reply with practical, useful thoughts — and a clear path forward.