Somewhere in Europe right now, a small business owner is waiting; they submitted a loan application days – maybe weeks – ago, and don’t know why a response is taking so long. They don’t know if they’ll be approved and, statistically, there’s a meaningful change they won’t be.
This isn’t an edge case; the EU, in fact, is home to 26.1 million SMEs, which together employ more than 89.8 million people – close to half of all employed EU citizens.
Yet, for decades, traditional banks have dominated SME lending with complex and rigid processes that result in slow loan approvals, higher costs, contributing to a persistent financing gap that limits these businesses’ growth potential.
By the third quarter of 2025, the share of euro area firms applying for bank loans had fallen six percentage points to just 17% – a figure that reflects not confidence, but quiet resignation.
Entrepreneur Christian Nothacker has been staring at this problem for over a decade, and he’s no longer content to just describe it.
Obsession as a business model
Nothaker grew up watching entrepreneurship up close: his father was always building something – never just one thing, always multiple ventures at once.
“There wasn’t one defining moment I can point to. It was more the daily texture of it,” he reflected while in conversation with StartupBeat.
That formation proved consequential. After building a career at the heart of European fintech – including a stint as SumUp’s Italy managing director, where he worked with thousands of small businesses – he began to see the same dynamic play out again and again: SMEs being served by financial infrastructure designed for a different era.
“The digitization that had transformed consumer finance hadn’t reached them,” he recalled. “I started looking around – LendingClubs in the U.S., Funding Circle in the UK – and thought: this is already being solved elsewhere. Why is Europe so far behind? That question became an obsession, and obsessions have a way of turning into companies.”
That company is Prestatech.
A pivot with purpose
Prestatech didn’t begin where it is today. Nothacker launched it as an alternative lender, providing funding directly to SMEs – trying to fill the gap himself. But, somewhere in the building, a clearer insight emerged: the enemy wasn’t banking; it was data.
“Banks are still making credit decisions on bad, incomplete, or outdated data, and SMEs pay the price for that. That still bothers me the same way it did on day one,” he said.
After successfully selling the PrestaCap lending platform to a bank, the team made a decisive turn: rather than competing with traditional lenders, Prestatech would arm them. The company pivoted from lending to tech, rapidly becoming the intelligence layer that banks use to make faster, smarter credit decisions for the small business on their books.
The mission didn’t change; the method did – and it’s an approach that has not gone unnoticed. Prestatech was named among CNBC’s World’s Top FinTech Companies 2025 in the enterprise fintech category, which recognized those firms delivering digital products for financial institutions and other businesses.
What happens in the first couple seconds
When an SME applies for a loan through one of Prestatech’s bank partners, the platform receives the financial documents, including PDFs, scans, and account statements. Within seconds, it extracts the relevant information, checks for manipulation or inconsistencies, categorizes every translation, builds financial analytics, and produces a score benchmarked against comparable businesses.
“What used to take a credit analyst weeks – we’re talking the full underwriting picture – now happens in seconds,” noted Nothacker.
But he’s careful to point out the advantage isn’t speed alone, but what the speed is built on:
“Two things surprise people when they see it in action. First: the power of cash flow data. It’s the most current, most reliable signal you can get about a businesses’ financial health – far more so than annual accounts or credit bureau data, which are always looking backwards. Cash flow tells you what’s happening now, and crucially, what’s about to happen.”
The second surprise lies beneath the interface. “Prestatech is not simply a SaaS platform. Behind it, there are billions of data points, scores, and benchmarks built up over the years. That depth is what makes the product work,” the CEO stressed.
The misread market
The AI lending space is getting crowded fast, and Nothacker has a clear theory about why so many competitors get it wrong:
“Most people assume SME credit is just an affordability check – like consumer lending with a slightly bigger number; it’s not. The analysis is fundamentally different – SMEs have irregular cash flows, seasonal patterns, complex expense structures.”
When collateral thresholds rise or approval timelines extend, liquidity quickly becomes a bottleneck – especially for SMEs with limited collateral, short operating histories, or volatile cash flows. A blunt, consumer-style scoring model doesn’t account for any of that.
When Prestatech sits down with banks, the conversation isn’t about algorithmic sophistication. “They’re not asking for a black-box score,” Nothacker said. “They’re asking: how many defaults can I prevent? How much additional lending can I unlock? What’s the ROI?”
That framing – risk reduction and return rather than model output – is central to how Prestatech sells. And it’s why explainability isn’t nice-to-have; it’s a first principle.
The EU AI Act introduces horizontal obligations for high-risk AI systems, including those deployed in creditworthiness assessment, and these requirements operate in parallel to – and sometimes in tension with – pre-existing financial sector rules.
For Prestatech, designing for that regulatory reality from the start isn’t a constraint: it’s the product.
“In financial services, a black box is simply not an option. Every score, every decision, needs to be explainable – not just to satisfy internal risk teams, but because regulators require it. We design with that constraint from day one, not as an afterthought,” the CEO explained.
The long game
If you’re building for banks in Europe, patience is usually measured in years, not quarters. A notable tightening occurred in Q4 2024, when 9% of banks reported stricter credit conditions for SME loans, and by Q3 2025, euro area banks still indicated net tightening of credit standards – which implies longer internal procurement and compliance cycles for any technology partner trying to get through the door.
Onboarding a new bank into the Prestatech platform can take anywhere from one month to nine, depending on the institution’s tech maturity and internal compliance processes.
“Forget six months. Budget two years for your first bank contract. That’s not pessimism – that’s just the reality of regulated institutions with long procurement cycles and multiple stakeholders,” said Nothacker.
The payoff, he argued, is structural. “Once you’re in, customers become deeply sticky. These aren’t churn-every-year SaaS relationships – they’re long-term partnerships.”
“Find a strong distribution partner early. Walking into a Sparkasse or Volksbank cold is very hard. Find someone who already has the trust, the relationship, the language,” he further advised.
Now, having established that foundation in Europe, Prestatech is setting its sights on the U.S. market – where the SME financing gap is no less acute, and where the appetite for data-driven credit infrastructure is growing.
What a fixed system looks like
The stakes of getting this right aren’t abstract. Microenterprises are less likely to use bank loans than larger SMEs due to higher rejection rates, fear of rejection, stringent collateral requirements, high interest rates, and bureaucratic hurdles.
These are businesses that fall through the cracks, not because they’re bad credit risks, but because the tools banks use weren’t built to see them clearly.
“The biggest beneficiaries will be the micro and smaller SMEs that fall through the cracks today. More banks will be able to extend credit faster, to businesses they would have previously passed on because the manual analysis was too costly,” Nothacker added.
That’s the version of success he’s building toward. Not disrupting banks, nor replacing them, but giving them the infrastructure to finally serve the businesses that have always needed them most.
The gap is real, the data exists, and the technology works. What remains is the patient, methodical work of getting it into the hands of the institutions that matter.
For Christian Nothacker, then, that is certainly not a problem; it’s exactly the texture of it.
Featured image: Behnam Norouzi via Unsplash+
Disclosure: This article mentions clients of an Espacio portfolio company.
