Recare raises €37M to scale AI discharge tech

Recare’s latest raise signals a bigger push for AI-powered discharge workflows

Berlin-based HealthTech company Recare has secured a growth financing round of up to €37 million (including a €7 million option) to scale its AI platform and accelerate international expansion plans. The round was led by DNV, with participation from CIBC Innovation Banking and other investors, and DNV is set to become Recare’s largest shareholder as the company moves into its next phase of growth. Tech Funding News also describes the raise as €37 million in growth funding led by DNV and joined by CIBC Innovation Banking, positioning it as fuel for AI agents that reduce paperwork and support expansion beyond Germany.

For anyone watching European digital health closely, this deal is notable because it targets one of the most stubborn friction points in care delivery: the transition from hospital to the next stage of care, where delays, incomplete documentation, and mismatched processes can create avoidable stress for patients and care teams. Recare frames its mission around reshaping discharge management and improving patient transfer from hospitals to downstream care providers through workflow technology enhanced by AI. At the ai world organisation, we see discharge coordination as a “quiet bottleneck” in health systems—less visible than diagnostics or surgery, but deeply influential on cost, quality, and patient experience—making it exactly the kind of process where practical AI can create measurable value.

DNV’s stated rationale for backing Recare centers on efficiency, reliability, and the ability to support interoperable data flows, which mirrors where healthcare AI is moving in 2026: away from isolated pilots and toward systems that are embedded in day-to-day operations. In a statement included in the original coverage, DNV’s Daniel Holth Larsen highlights that workflow improvements can translate into productivity gains and says the investment is meant to scale that impact internationally, emphasizing secure, accurate, interoperable data. From an ecosystem perspective, that emphasis matters, because the adoption barriers in healthcare often have less to do with “does the AI work in a demo?” and more to do with “does it fit the reality of clinical operations, IT constraints, and governance requirements?”

This is also the kind of applied AI story we track and curate for our community at the ai world organisation—especially for delegates, partners, and speakers preparing for the ai world summit and ai world organisation events, where the most valuable discussions are grounded in operational outcomes rather than hype. In that spirit, the Recare raise is best understood not as a generic funding headline, but as a signal that investors and large industry players want AI that actually reduces friction inside hospitals and across care networks, while still respecting the complexity of healthcare data.

Why “administration overload” is turning into a strategic healthcare problem

One reason Recare’s positioning resonates is that healthcare systems across Europe are facing a capacity crunch that cannot be solved quickly by hiring alone, particularly when a meaningful portion of clinicians’ time is consumed by documentation and coordination tasks. The original report notes that Recare points to a European Commission study estimating a shortage of about one million doctors and nurses, with the gap projected to worsen significantly by 2030. Tech Funding News similarly mentions Europe heading toward a “1 million healthcare worker shortfall by 2030,” framing paperwork and administrative overload as pressures that will intensify if workflows remain fragmented.

In practical terms, this means “capacity” becomes a workflow problem as much as it is a staffing problem. When teams must chase forms, coordinate transfers manually, re-enter information from PDFs, or reconstruct handover details across departments, time gets lost in ways that are hard to measure but easy to feel—especially during peak patient loads. Recare’s core argument is that if an AI agent can remove a substantial part of administrative burden, clinicians and care teams can redirect time toward patient-facing work.

The strong interest in discharge and aftercare workflows makes sense because the discharge phase touches many stakeholders, including inpatient units, case management, rehabilitation providers, nursing services, homecare providers, and often family caregivers. Each handoff introduces risk: missing documents, unclear instructions, inconsistent formats, or slow communication between organizations that use different systems. Recare’s value proposition is built around improving care coordination and hospital operations through AI-driven workflows that help standardize and speed up these transitions.

There is also a structural reason discharge management is hard to “paper over” with minor improvements. Discharge is not one task; it is a chain of tasks that includes identifying the right post-acute setting, collecting and sharing relevant documents, scheduling and confirming transfers, aligning the care plan, and making sure the receiving provider has what they need. Recare describes its product as an AI-enabled workflow layer intended to coordinate this chain more smoothly. That approach aligns with how mature AI adoption usually happens: not by adding a shiny feature at the edge, but by embedding intelligence into the sequence of work where time, errors, and delays accumulate.

For the ai world organisation audience, this is a useful case study to reference in sessions at the ai world summit and ai world summit 2025 / 2026 because it sits at the intersection of three trends that repeatedly appear in high-performing implementations. First, it focuses on a high-volume operational workflow rather than a niche corner case. Second, it treats interoperability and data structuring as core (not optional). Third, it positions AI as an assistant that removes repetitive administrative work, not as a replacement for clinical judgment.

How Recare describes its AI agent and “smart hub” approach

Recare says its AI agent is designed to support care providers by automating administrative tasks and coordinating workflows, with the goal of reducing workload amid skills shortages. In the coverage, CEO Maximilian Greschke describes hospitals as being under operational pressure as more time goes into administrative tasks, and he positions Recare’s AI agent platform as a way to relieve a large part of that burden by using unstructured data to orchestrate workflows quickly. He adds that the new investment should accelerate rollout in Germany and internationally, aiming to help providers transform workforce capacity through workflow automation.

One of the most important technical details in this story is how Recare describes working with real-world hospital data. The company claims its AI agent can automatically extract and structure information from PDFs, scans, and free text into interoperable formats. Tech Funding News also describes the agent as connecting into hospital IT, converting “messy PDFs, scans, and notes into structured data,” and then auto-generating documents like letters and protocols to support handoffs between departments. In other words, Recare is not just saying “we have AI”; it is claiming to tackle the everyday reality of mixed-quality documents and fragmented inputs that still dominate many clinical-administrative processes.

The same reporting frames the AI agent as a hub that connects existing hospital IT systems and coordinates both clinical and administrative workflows across departments. It is described as automating documentation and routine tasks, including medical letters and handover protocols, and helping break down data silos to support end-to-end workflow continuity. That “workflow continuity” concept is crucial: it suggests the goal is not merely faster paperwork, but fewer dropped handoffs and fewer points where staff must manually reconcile data across systems.

For context, Tech Funding News positions Recare as focusing on discharge and aftercare first, and then expanding toward broader coordination across hospitals, while noting the specific pain point of discharge processes in Continental Europe. It also notes the market traction point that Recare reports: roughly two-thirds of German hospitals and 26,000 care facilities are already using the platform. The original write-up likewise states that Recare’s network connects approximately two-thirds of German hospitals and includes 26,000 nursing and homecare providers, alongside more than 650 rehabilitation clinics.

Recare’s own website highlights adoption in acute care by stating that 900 acute hospitals use Recare for discharge management. The website also emphasizes security and compliance signals, stating it has been ISO 27001 certified for many years and that its software received a C5 Type 2 attestation in 2025, while also noting regular reviews by external privacy and IT security experts for GDPR compliance. In healthcare, those signals matter because workflow automation is only scalable if procurement teams and compliance stakeholders believe the platform can operate safely within strict regulatory environments.

From the ai world organisation perspective, this combination—adoption scale, workflow automation, interoperability goals, and compliance framing—helps explain why Recare’s approach is being financed as a scale story rather than treated as a small pilot. It is also why it fits well into programming themes for ai conferences by ai world: applied AI, interoperable data, governance, and measurable productivity improvements.

What the €37M growth round is expected to accelerate next

The newly announced financing is positioned as a growth round meant to speed up product rollout and broaden geography. The original report states that the capital will be used to fast-track the introduction of a new AI agent to hospitals and care facilities and to expand Recare’s international business. Tech Funding News similarly says the goal is to roll out AI agents that reduce paperwork for hospitals and nursing homes, while also supporting international expansion.

In practical go-to-market terms, “fast-tracking” an AI agent inside healthcare is rarely only about engineering speed. It usually involves onboarding workflows, integration work with multiple hospital IT setups, training and change management for staff, and a careful approach to quality control in documentation-heavy environments. Recare’s narrative suggests it wants to move from being a platform that connects parts of the discharge ecosystem to being a broader “orchestration layer” that can coordinate workflows across departments and organizations.

The investor mix also hints at the shape of the next stage. DNV is described as an assurance and risk management provider leading the round, and it becomes the largest shareholder, which may help Recare scale with an emphasis on reliability and trusted data handling. Tech Funding News adds that Recare expects to scale through DNV’s global health network, linking the funding to international distribution and credibility in regulated markets. When a company must sell into hospitals, credibility and risk posture can matter nearly as much as product features, especially as AI becomes more regulated and more scrutinized.

The original report also references Recare’s previous funding milestone: in 2024, Recare secured €3.2 million for its platform. That detail is important because it frames the €37 million round as a meaningful step up in ambition and scope, shifting from earlier-stage product scaling to broad rollout, deeper AI functionality, and cross-border expansion. It also implies the company has had time to validate product-market fit in Germany before raising for international expansion.

At the ai world organisation, we often encourage founders and operators to track “why now?” when evaluating adoption-ready AI companies. In Recare’s case, the “why now” appears to be the combination of workforce shortages, pressure to improve productivity, ongoing digitization efforts, and the increasing feasibility of AI systems that can structure unstructured information at scale. When those forces align, a workflow-focused platform can move from being a “nice to have” to being a strategic infrastructure layer—especially if it can demonstrate real-world adoption across a substantial portion of a national hospital system.

What this means for global HealthTech and how we’ll frame it at The AI World Organisation

This funding story is a strong example of where healthcare AI is heading in 2026: toward automation that is practical, embedded, and measurable, rather than AI that is confined to experimental dashboards. Recare’s pitch centers on saving time through workflow coordination, reducing administrative burden, and improving continuity across departments and providers. The fact that Recare’s platform is presented as connecting existing systems (rather than demanding a full rip-and-replace) also matches the reality that hospitals often must modernize incrementally, integrating with legacy IT rather than rebuilding everything at once.

From an ecosystem and SERP standpoint, this is also the kind of story that performs well when packaged with clear search intent. Readers searching for “AI agents in healthcare,” “hospital workflow automation,” “discharge management software,” or “interoperable clinical documentation” are often looking for concrete examples of how AI is being deployed and funded, and Recare provides a timely case with named investors, a clear workflow target, and scaling plans. For the ai world organisation editorial voice, the angle that tends to resonate is not simply “who raised how much,” but “what operational pressure is this AI addressing, and what does the product actually do in the messy reality of hospitals?”

This is why, across the ai world summit and ai world organisation events, we consistently spotlight applied AI infrastructure—tools that sit between data chaos and workflow clarity. Recare’s description of extracting information from PDFs, scans, and free text into interoperable formats is a direct reference to this problem, because hospitals still deal with many semi-structured and unstructured inputs across departments and external providers. In panels and discussions at ai conferences by ai world, this kind of solution is valuable for sparking operator-level questions: what does integration look like, where does quality control sit, how do teams govern automated documentation, and how do you measure time saved in a way procurement teams trust?

As we plan coverage and programming around ai world summit 2025 / 2026, stories like this help our audience separate signal from noise. They show that “AI in healthcare” is increasingly about orchestrating processes, not just predicting outcomes; about enabling staff capacity, not just adding analytics; and about interoperability and security posture, not just model performance. Recare’s stated compliance markers—ISO 27001, C5 Type 2 in 2025, and ongoing GDPR-related reviews—also reinforce that scalable healthcare AI products must speak the language of assurance and governance, not only innovation.

In the weeks ahead, the ai world organisation will continue to track funding moves like Recare’s, not as isolated headlines but as indicators of where enterprise and public-sector buyers are willing to invest. If you are following the ai world summit agenda and want more HealthTech workflow-AI case studies to inform your sessions, partner conversations, or content strategy, this is a strong reference point because it combines adoption claims, a clear operational pain point, and a well-defined scaling plan.