Qorelo Raises $3.5M to Automate SAP Migrations

Qorelo Bags $3.5M Seed Funding to Eliminate the Pain of SAP Migrations with AI Automation

The race to modernise enterprise software infrastructure is not slowing down, and for tens of thousands of companies around the world, it has become nothing short of urgent. Berlin-based startup Qorelo has stepped into this high-pressure environment with a focused mission: take the painful, slow, and notoriously expensive process of SAP migration and rebuild it from the ground up using artificial intelligence. The company has now raised $3.5 million in seed funding from HPI Ventures and Caesar Ventures, a vote of confidence that arrives at precisely the right moment in what is shaping up to be one of the most consequential technology transitions in enterprise history. Adding real weight to the announcement, Qorelo has already secured Mercedes-Benz as a customer — a marquee name that signals genuine traction before the ink is even dry on the funding round.

The investment comes at a time when the global conversation around SAP migration has moved well beyond IT departments and landed firmly in the boardroom. SAP has long maintained that its flagship legacy system, SAP ECC, will reach end of mainstream support on December 31, 2027 — a hard deadline that has sent tens of thousands of enterprises into planning mode. With mainstream maintenance ending, companies that remain on ECC will face a sharp drop in security patches, compliance updates, and product fixes. Extended support is technically available through 2030, but at a significant premium that makes the financial case for timely migration even more compelling. For the 35,000 companies that are still working their way through this transition, the clock is ticking loudly.

A $89 Billion Market Held Back by Human Bottlenecks

To understand why Qorelo's approach matters so much, you have to understand the scale of the problem they are solving. The broader SAP S/4HANA migration market, when you account for implementation costs, upgrades, testing, and ongoing support, has been valued at more than $89 billion by industry analysts. Yet despite that enormous opportunity, the migration process itself has remained stubbornly manual, heavily reliant on expensive SAP consultants, and prone to delays that stretch projects far beyond their original timelines. A full migration from SAP ECC to the modern S/4HANA platform typically takes anywhere between 18 and 36 months for large enterprises. In some cases, organisations with particularly complex or heavily customised environments have seen that timeline extend even further. The financial burden is equally daunting. Some Fortune 500 companies are reportedly budgeting over one billion dollars just to complete their own internal migration.

The core bottleneck driving those costs and delays is not the technology itself — it is the manual, consultant-driven work that surrounds every migration project. SAP consultants are required at virtually every stage: assessing existing system configurations, documenting custom code, mapping data fields, identifying gaps between legacy and target systems, running tests, and managing stakeholder approvals. This reliance on human expertise has created a structural constraint on how quickly the global market can move. As the 2027 deadline approaches, demand for experienced SAP professionals is spiking, and with limited supply, consulting rates have already begun climbing. Industry estimates suggest those rates could rise by 30 to 50 percent as companies scramble to get projects moving in the final stretch before support ends.

Qorelo was built with a direct answer to this specific problem. The Berlin-based team has developed an AI-powered platform designed to automate the most labour-intensive components of a SAP migration engagement. Rather than replacing every element of the process, Qorelo targets the work that consumes the most time and generates the most bottlenecks when left to human consultants — the documentation, the code analysis, the gap identification, and the structured knowledge work that underpins each migration project. By automating these tasks, the startup makes it possible to run migration projects faster, at lower cost, and with fewer dependencies on the scarcest resource in the market: experienced SAP talent.

Why HPI Ventures and Caesar Ventures Backed This Bet

The involvement of HPI Ventures as lead investor carries more significance than a typical early-stage backing. HPI Ventures is the ecosystem venture capital arm of the Hasso-Plattner-Institut, the prestigious German research university founded by Hasso Plattner — the very co-founder of SAP itself. The university has built a remarkable track record in spawning software companies, with over 300 startups emerging from its ecosystem and more than one billion euros raised in venture capital across its alumni base, including at least one unicorn. When HPI Ventures backs a SAP migration startup, it is not simply writing a cheque — it is extending a network of domain expertise, technical credibility, and SAP ecosystem proximity that very few other investors can offer at this stage.

Caesar Ventures, the second participant in the round, adds further early-stage conviction to the deal. Together, the two investors provide Qorelo with a funding base that is well-matched to its current phase: validating the product with enterprise customers, refining the automation capabilities, and building the commercial infrastructure needed to scale across a market that is by definition time-limited. That time-limited quality, however, is not necessarily a weakness for Qorelo. With 35,000 companies still in various stages of migration planning and execution, the addressable customer base remains enormous in the near term, and the companies that complete their migrations with SAP S/4HANA will need ongoing optimisation, support, and integration work that extends well beyond the initial cutover. Qorelo is positioning itself to capture a share of that longer-tail opportunity as well.

The fact that the team has already landed Mercedes-Benz as a customer before raising their first external round is worth dwelling on. In the enterprise software world, a customer of that profile is not a reference — it is a proof of concept in itself. Mercedes-Benz has been one of the most ambitious companies in Europe when it comes to SAP transformation, having invested heavily in S/4HANA deployments across its global logistics and manufacturing operations over the past decade. Earning that organisation's trust at such an early stage suggests that Qorelo's platform is already mature enough to operate inside a genuinely complex enterprise environment, which is not something most seed-stage startups can credibly claim.

The Competitive Landscape Heats Up Around SAP AI

Qorelo is not operating in isolation. The realisation that SAP migration represents one of the largest, most underserved automation opportunities in enterprise tech has attracted serious attention from across the startup world and the venture capital community. Earlier this year, Nova Intelligence, a San Francisco-based startup building an agentic AI platform specifically for SAP environments, raised a $31.5 million Series A led by Chemistry, with participation from Accel, Conviction, and SAP.io — the official venture arm of SAP itself. Nova focuses on analysing, modernising, and generating the custom ABAP code that powers payroll, supply chains, and finance functions inside Fortune 500 environments. The company's co-founders include Professor Alexander Zeier, co-inventor of SAP HANA itself, lending the project an almost unparalleled pedigree in the SAP technical world.

The emergence of multiple well-funded startups targeting the same migration wave points to something important: this is not a niche problem. When companies like SAP itself are partnering with AI providers including Palantir and Accenture to address migration complexity, and when venture capital is flowing into purpose-built AI platforms from both sides of the Atlantic, it becomes clear that the industry has identified AI-led migration automation as one of the defining infrastructure challenges of the next three years. Qorelo's positioning at the seed stage, with a leaner initial raise and deep institutional backing from within the SAP ecosystem, gives it a different trajectory from its American counterparts — one that is rooted in the European enterprise market, where many of the world's largest SAP deployments actually live.

The broader market data reinforces the urgency. A survey conducted by the Americas' SAP Users Group found that 59 percent of companies are now fully or partially live on SAP S/4HANA — a meaningful increase of 13 percentage points compared to 2024 figures. That sounds like progress, but it also means that a very substantial portion of the SAP customer base is still on legacy systems with less than two years of mainstream support remaining. The same research identified business process change, handling of existing customisations, and organisational resistance as the three biggest barriers preventing companies from completing their migrations faster. These are precisely the kinds of challenges where AI-powered automation, when built correctly, can have a transformative impact — reducing the analytical burden on human consultants and allowing teams to move through the discovery and planning phases at a speed that was previously impossible.

Berlin's Rising Profile in Enterprise AI

Qorelo's emergence is also a meaningful data point in the context of Berlin's growing reputation as a hub for enterprise technology startups. The German capital has historically been associated with consumer internet businesses and marketplace models, but that narrative has been shifting steadily as the city attracts more deep-tech and enterprise-focused founders. The presence of the Hasso-Plattner-Institut in nearby Potsdam, with its direct lineage to SAP and its ecosystem of alumni-turned-founders, has been a particularly important factor in this shift. A cluster of B2B software companies with genuine enterprise credibility is beginning to form around Berlin's startup ecosystem, and Qorelo fits that emerging profile well.

For The AI World Organisation, this development is also a reflection of a broader pattern we have been tracking closely throughout 2026: the growing convergence between AI development and enterprise modernisation cycles. The SAP migration wave is not unique in this respect. Across industries, legacy infrastructure transitions are increasingly being reframed as AI deployment opportunities — moments where the replacement of old systems creates a natural opening for embedding intelligent automation into the core of business operations. Companies that can position AI not as an add-on but as the engine that drives the transition itself are finding a receptive market, because the pain points they are solving are measurable, the ROI is demonstrable, and the urgency is externally mandated rather than something that needs to be created.

Qorelo's pitch rests on exactly that logic. The SAP migration deadline is not going away. The consultant shortage is not going to resolve itself before 2027. The costs of delay are not theoretical — they are already showing up in enterprise budgets as extended maintenance fees and escalating project estimates. By building AI automation specifically designed to address these pain points, the startup has created a product with a clear and immediate reason to exist, which is a rare thing at the seed stage of any company. The $3.5 million it has raised will provide the runway to deepen the product, expand the customer base, and demonstrate at scale what early traction with a customer like Mercedes-Benz has already begun to suggest.

What Comes Next for the SAP AI Automation Space

Looking ahead, the questions surrounding Qorelo and the broader SAP automation space are less about whether the market will grow and more about how fast it will move and which platforms will earn the trust of large enterprise procurement teams before the window narrows. The period between now and the end of 2027 represents an intense concentration of demand, and the startups that establish customer relationships and technical credibility during this window will be well-positioned to build durable businesses around the ongoing management and optimisation needs that follow initial migration.

For investors, the SAP migration wave represents one of the clearest examples of a time-bound technology opportunity that has predictable, measurable demand. For founders building in this space, the challenge is delivering automation that is reliable enough to operate inside mission-critical enterprise environments, where a mistake in a payroll system or a supply chain configuration is not a minor inconvenience — it is a business crisis. Qorelo's decision to demonstrate that capability with Mercedes-Benz first, and raise capital second, is a sequencing choice that speaks well of the team's understanding of what enterprise customers actually need to see before they are willing to trust a seed-stage startup with their most sensitive systems.

As The AI World Organisation continues to monitor developments in the intersection of artificial intelligence and enterprise transformation, Qorelo represents exactly the kind of early-stage story that warrants close attention — a startup with a precisely defined problem, a market whose urgency is externally driven, investors with genuine domain depth, and a first customer that validates the entire premise. The $3.5 million seed round is the beginning of a journey that, if executed well, could see Qorelo become a meaningful part of how thousands of enterprises navigate one of the most complex IT transitions of the decade.