
High-tech solutions for organisations responsible for funding and projects
The GRINNO software combines modern AI models with machine learning, data protection-conscious architecture and its own funding logic.
It structures project plans, assesses eligibility for funding and systematically assigns suitable programmes – across national borders.
GRINNO.AI is aimed at companies, consultancies and public institutions that want to standardise, accelerate and quality-assure funding and application processes.
Result:
Strategic classification, reliable matching and support right through to application preparation.
Differential privacy
We use a mathematically sound approach that ensures that the output of an algorithm does not change significantly when a single data set is added or removed. We achieve this by adding carefully calibrated "noise."
Generative Adversarial Networks (GANs) for Data Synthesis
We use GANs to generate synthetic data that is statistically similar to the original data, but does not allow direct inferences to individual original data.
Trusted Execution Environments (TEEs)
The GRINNO software uses hardware-based approaches that create isolated areas for data processing in which data and code are protected from unauthorised access, even from the operating system.
Instant Match Engine
The GRINNO software analyses the project in real time and compares it with over 3,000 funding opportunities.

Confidential ideas deserve protected structures.
Reliable structures for sensitive projects.
Funding and project plans require the responsible handling of sensitive information.
Especially in the early stages, project outlines, strategy papers and draft applications often contain confidential content with high economic or political relevance.
GRINNO.AI was developed to evaluate complex funding logic in a structured manner, classify project content and prepare decision-making bases in a comprehensible way – without relinquishing control over content.
Processing is systematic and data-secure. Project information remains entirely within the respective analysis contexts.
The architecture of GRINNO.AI is designed to be resilient even in sensitive environments.
This creates reliable structures for organisations that regularly work with funding, innovation or transformation projects and depend on transparency, traceability and governance.
Developed for use in sensitive project and decision-making environments.

GRINNO.AI in numbers
>10
years of experience
>3,000
funding programs
>98%
of all funding programs
10.2 Mio.
training cases
<5 sec.
analysis duration


Clarity in the complex subsidy system.
Orientation – without detours.
Funding and application landscapes are complex, dynamic and highly regulated. Funding programmes differ in terms of their objectives, requirements, funding logic and application mechanisms.
For organisations, this regularly leads to a high level of coordination, review and documentation effort – especially when several projects, locations or funding bodies have to be considered in parallel.
GRINNO.AI helps to classify project plans in a structured manner, systematically derive relevant funding logic and prepare decision-making processes in a comprehensible way. Technical, time and formal requirements are taken into account equally.
Instead of fragmented individual research, a consistent, data-based foundation is created that enables comparability and repeatability.
Strategic assumptions, programme decisions and prioritisation are derived transparently and made documentable.
This allows funding decisions to be standardised across projects – from strategic classification and matching to systematic application preparation.
GRINNO.AI is aimed at companies, consultancies and public institutions that want to prepare funding and project decisions in a reproducible, transparent and reliable manner.



