Every factory on Earth cleans its equipment, and almost none of them think about how. Cleaning is the invisible chore of manufacturing, done by hand, judged by feel, and drowned in chemicals nobody measures too closely. Digiclean, a Gothenburg deeptech company, just raised €2.5 million to argue that this overlooked corner is quietly costing industry a fortune.

The seed round was co-led by Unconventional Ventures and Almi Invest GreenTech, with backing from S-E Bankens Utvecklingsstiftelse, Impact Shakers and Feminvest Ventures. That's a distinctly mission-driven cap table, heavy on funds that back underrepresented founders and sustainability plays. Fitting, because Digiclean was founded by Charlotte Stigen Låstberg on a thesis that sounds almost too simple: use less chemistry, get more value.

The company's platform applies AI to industrial cleaning and maintenance, helping manufacturers optimize how much chemical they use, monitor the process as it happens, and cut resource consumption across a production facility. It's the kind of unsexy, deeply practical software that doesn't trend on tech Twitter and quietly saves industrial customers real money. Which is exactly why it's worth paying attention to.

Walk through a modern factory and almost everything has been digitized. The machines report their own health. Energy use is tracked to the kilowatt. Logistics are optimized by algorithms that know where every pallet sits. Then you get to cleaning, and it's like stepping back thirty years.

Digiclean's founding observation is that process chemistry, the actual business of cleaning equipment and surfaces, is still run on manual sampling and operator experience. Someone takes a sample. Someone eyeballs a reading. Someone decides, based on years of gut instinct, whether to add more chemical or run another cycle. It works, in the sense that the equipment gets clean. It's also wasteful, inconsistent, and completely opaque to the people trying to run an efficient plant.

That matters more than it sounds. Industrial cleaning isn't a side task. It directly affects equipment performance, product quality, production uptime, and regulatory compliance. A cleaning process that runs too hot burns chemicals and money. One that runs too cold risks contamination, failed batches, and regulatory trouble. Getting it wrong is expensive in both directions, and right now most factories are flying blind, trusting that the operator's instinct lands somewhere in the acceptable middle.

The pitch from founder Charlotte Stigen Låstberg is that applied AI belongs on the chemistry, not just the machinery. Her framing, less is more, flips the usual industrial instinct. The default assumption in a factory is that more chemical means cleaner, and cleaner means safer, so nobody gets fired for overdosing. Digiclean's argument is that overdosing is its own failure, one that shows up on the chemical bill, in wastewater treatment costs, and in the facility's environmental footprint.

By adding real-time monitoring and AI-driven optimization, the platform aims to hit the sweet spot: exactly enough chemistry to do the job, no more. That's better for the plant's budget and better for the environment, which is why sustainability-focused investors circled the round. When cutting chemical use is simultaneously the cheaper option and the greener one, you don't have to choose between margin and mission.

There's a founder-story dimension here too. Stigen Låstberg is a solo female founder building deeptech in a hard-science, male-dominated industrial niche, and she assembled a cap table that reflects a deliberate bet on exactly that profile. Unconventional Ventures has built its brand backing underrepresented founders. Feminvest Ventures and Impact Shakers round out a group that clearly saw more than a cleaning-optimization tool. They saw a founder attacking a huge, boring, real problem that most people never notice.

Two and a half million is a focused seed, and for a deeptech company selling into industry, that's the right size. Industrial sales cycles are long, pilots take time, and the money here is about proving the platform delivers measurable savings at real customers rather than blitzscaling a user count. Get a handful of reference plants showing hard numbers, and the enterprise expansion writes itself.

Now the challenge, because there always is one. Digiclean is selling data-driven optimization to an industry that has run on operator intuition for generations. The person who's been managing the cleaning line for twenty years has a well-earned confidence in their own judgment, and telling them a piece of software knows better is a delicate conversation. Industrial adoption is slow, conservative, and allergic to anything that looks like it might risk a production line.

The counterweight is that the value is measurable, and measurable is what wins industrial deals. If Digiclean can walk into a plant and show a clean before-and-after on chemical spend, water use, and downtime, the argument stops being about trust and starts being about a spreadsheet. Deeptech that sells hard numbers to procurement teams doesn't need to be loved. It needs to be provably cheaper, and sustainability wins that come free on top are a bonus that helps the internal sale.

Digiclean also fits a broader Nordic pattern of startups attacking the grimy, industrial, resource-heavy problems that flashier markets ignore. From companies turning sewage sludge into profit to ventures making money off toxic industrial byproducts, the region has developed a genuine specialty in the unglamorous end of cleantech. It plays to Nordic strengths: strong industrial bases, serious environmental regulation, and engineers who'd rather solve a real problem than chase a consumer app.

Put numbers on the problem and the opportunity comes into focus. A large manufacturing plant can run cleaning cycles constantly, across production lines that never fully stop. Every cycle consumes chemicals that cost money to buy, water that costs money to heat, and wastewater that costs money to treat. Overdose the process by even a modest margin, day after day, line after line, and the waste compounds into a number that would make a plant manager wince if anyone actually tracked it. Almost nobody does.

Digiclean's whole premise is that this waste is invisible precisely because it's never measured. You can't optimize what you don't monitor, and cleaning has been the one factory process running without instrumentation. Bolt on real-time sensing and AI, and suddenly the plant can see exactly how much chemistry each cycle needs, adjust on the fly, and stop paying for the safety margin of guesswork. The savings aren't glamorous. They're just steady, and steady adds up.

The regulatory tailwind helps. European wastewater and chemical-handling rules keep tightening, and every liter of unnecessary chemical a plant uses is a liter it eventually has to account for, treat, and dispose of under increasingly strict oversight. A tool that cuts chemical use isn't only cheaper. It's a compliance asset, one that shrinks the plant's environmental exposure at the same time it trims the budget. That dual payoff is what makes the sustainability investors and the industrial buyers want the same thing.

It also positions Digiclean for a market far bigger than Sweden. Industrial cleaning is universal. Food and beverage, pharmaceuticals, chemicals, automotive, every manufacturing sector on the planet runs cleaning processes with the same manual, unmeasured approach. If the platform proves itself in a few demanding Nordic plants, the addressable market is essentially every factory that exists. That's the quiet ambition hiding inside a €2.5 million seed round about cleaning.

Cleaning is the process everyone does and nobody optimizes. Digiclean is betting that the gap between how much chemistry factories use and how much they actually need is wide enough to build a company inside. On the early logic, it's right. Overdosing is expensive, opaque, and everywhere.

The €2.5 million buys the runway to turn a compelling thesis into proof at scale. The next milestone isn't a bigger round. It's a set of reference customers with hard savings numbers that make the pitch undeniable. Land those, and Digiclean stops being a clever idea and becomes the obvious upgrade to a process every manufacturer runs and none of them measures.

Watch for the case studies. In industrial software, one plant with a documented 30% cut in chemical spend does more selling than any pitch deck. That's the number that turns a skeptical operator into a reference. Digiclean now has the money to go get it.