Forschungszulage: What Does 'Uncertainty' Mean? (BSFZ)
What does 'uncertainty' (technical risk) mean for the Forschungszulage? Practical examples and how to describe it for a BSFZ-ready application.
Many companies fail not because of the idea, but because of the justification of novelty: "We haven't done it this way before" is often correct – but it only becomes eligible for funding when it systematically produces new, reliable knowledge (and not merely a project "with new software" or "a new feature"). Presenting novelty clearly increases the chances of a positive BSFZ certificate – and thus of the tax-based funding.
Tax-based funding (requirements):
"Novel" refers to the degree of novelty of the knowledge generated in your innovation project.
Innovation projects:
In practice this means:
Important: Novelty rarely stands alone. In the logic of the Forschungszulage, "novel" is closely linked to creative, uncertain, systematic and reproducible/transferable.
Common misconceptions:
May be true, but it must be justified: What exactly is new about the knowledge? What assumptions/hypotheses were tested? What technical hurdles existed?
New tools are often only a means to an end. If you "implement known methods with existing tools", the novelty in the sense of technical progress is frequently missing.
A new product can still be not novel if at its core it is a known solution (e.g. standard software + customisation, routine engineering, a typical feature set).
Context (software R&D):
More likely novel, if you e.g.:
Example (plainly stated): "We needed to enable real-time analysis directly at the production line, even though existing approaches only covered static quality control. To achieve this, new procedures for robust detection of process deviations under varying conditions were developed and validated."
More likely novel, when data collection/analysis is an integral part of the innovation project and you:
Not novel is often:
A transfer can be novel if it is not "plug-and-play" but creates technical uncertainty, e.g.:
To make novelty "verifiable", you need clear, concise building blocks:
Starting point / state of the art (brief):
What is standard today? What is the "default solution" – and why is it insufficient?
Core of novelty (1–3 sentences):
What is the new knowledge / the new technical capability you are generating?
Technical uncertainties (specific):
What open questions existed at the outset (feasibility, performance, stability, integration risks)?
Plan & iterations:
Which work packages/experiments/tests did you plan, carry out and evaluate?
Results & documentation:
Which artefacts demonstrate the findings (e.g. test protocols, simulations, architecture decisions, measurement series, code repos, technical reports)?
Results & documentation (example link):
If you want to make life easier: this is exactly where we support you at zeitmaker.com – from structuring the novelty argument to solid project documentation and preparation for BSFZ/tax office.
Project documentation:
The Forschungszulage is a tax-based innovation incentive: it targets exactly those situations where companies bear genuine technical risks and systematically develop something new. Especially for innovation-driven software, AI, industrial or process topics it is often a very attractive lever – regardless of whether a project ultimately "succeeds perfectly" (what matters is the systematic process of generating knowledge).
Tax-based innovation incentive:
Software/AI context:
More details on implementation, the process (BSFZ → ELSTER) and suitable innovation examples can be found at zeitmaker.com.
Process (BSFZ → ELSTER):
In practice, new to the company can be sufficient – but what matters is that it generates new technical knowledge and does not merely apply standard know-how. "New to the market/industry" additionally strengthens the argument.
Yes, if it results in a significant improvement and requires resolving technical uncertainties (not just routine feature additions).
Usually not, if known methods/tools are used without technical progress. Yes, if a scientific/technical advance is achieved or a genuine technical uncertainty is resolved (e.g. new algorithms, novel security mechanisms, relevant performance breakthroughs).
As a rule, no. Market research/marketing are typically activities that do not generate new technical knowledge.
With a clean state-of-the-art demarcation, clearly defined technical uncertainties, a systematic approach (work packages/tests) and documentation of results (measurement data, test reports, prototypes, code, technical decisions).
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