Case Study voize: 314,825€ Forschungszulage for AI

---

Why this use case matters

In care, documentation determines quality, safety and traceability – yet it is also one of the biggest time drains in everyday practice. Anyone who innovates here is solving a real scaling problem: less friction, better data, better processes.

This is exactly the point where funding becomes strategically relevant: because until an AI solution works reliably in daily practice, it takes iterations, tests, integration and clean delineation – precisely the kind of innovation work that often competes for budget and capacity. This is where Forschungszulage can help to set up innovation projects systematically and make them financially more predictable – for example through prototype work and validation: financing prototype development.

---

Brief profile: voize and the innovation core

voize positions itself as AI-powered care documentation, developed close to real-world practice with a focus on speed and usability in everyday use.

The core of the use case: voice-based documentation is implemented in a way that does not merely enable "dictation" but makes entries structured and compatible with existing systems.

Key features (practical and innovation-driven):

• Intuitive voice documentation directly at the bedside
• Seamless transfer of care reports, vital signs entries and movement logs into existing documentation systems
• Mobile care assistant with access to care plans, master data and historical reports
• Wound documentation including photos
• Medication plan to support daily workflows

The value proposition is clear: noticeable time savings and better documentation quality – exactly the combination that genuinely advances care processes.

---

The funding: 314,825€ as a boost for care innovation

314,825€ in funding was secured for voize. This is especially interesting because it shows: innovation in regulated, complex environments (such as care and healthcare) is eligible for funding when it is technically well-founded, planned and verifiably implemented.

And this is exactly where the bridge to Forschungszulage matters: as a tax-based incentive, it rewards innovation that proceeds methodically and addresses genuine technical uncertainties – for example in AI-powered processing, system integration, quality assurance and validation. What counts here is not "marketing novelty" but traceable technical work, for example along criteria such as systematic approach: What does "systematic" mean?

---

Why Forschungszulage fits software innovation (like voize) so well

Many digital teams experience this similarly: the biggest effort arises before the scalable roll-out – in iterations, stabilisation, tests and integration.

Forschungszulage is particularly well suited when:

• technical risks and uncertainties have to be resolved: understand the criterion "uncertainty"
• prototypes and product versions are improved iteratively
• interfaces to third-party systems are reliably implemented and validated
• teams continuously work on a technical solution (even without a "classic R&D department"): who can apply?

In short: when innovation is actually "built" – not just conceived.

---

Role of zeitmaker.com: less effort, more predictability

For Forschungszulage to have its full effect, a clean process is required: project delineation, clear technical argumentation, traceable novelty/uncertainty and appropriate documentation. Entry point and process overview: application process.

zeitmaker.com supports companies end-to-end – with a focus on efficiency and implementation.

Concrete advantages (with figures) at zeitmaker.com:

• 0€ risk for the application through a success-based model (costs only arise on success)
• up to 100% digital handling, keeping internal time effort to a minimum
• fast project check to assess eligibility before unnecessary work arises

Starting point & overview: zeitmaker.com

---

Conclusion: voize makes it tangible how innovation in care becomes financeable

voize is an exemplary case of an especially relevant kind of innovation: AI that saves time and improves quality in real workflows. At the same time, the use case shows: with the right structure, such projects can be made eligible for funding – and Forschungszulage is often the most predictable lever for this, because it does not let innovation "win" by chance, but rewards it methodically.

If you are developing software, processes or AI solutions: a structured check for Forschungszulage is almost always worthwhile.

---