NoMaze
AI-powered platform for predictive plant breeding analytics.
| Date | Investors | Amount | Round |
|---|---|---|---|
* | N/A | - | |
| Total Funding | 000k | ||
NoMaze is a German startup founded in 2022 by Jean-Pascal Lutze and Finn Gaida that provides an AI-powered software platform for the plant breeding industry. The company is headquartered in Munich and operates at the intersection of artificial intelligence, genetics, and software. Lutze, a space engineer with a Master's in Robotics, Cognition and Intelligence, and Gaida, a computer science graduate who studied at TUM, co-founded the company to address the complexities of agricultural data. NoMaze aims to accelerate the development of new, climate-resilient crop varieties by enabling plant breeding companies to make faster and more informed decisions.
The company's core offering is a Software-as-a-Service (SaaS) platform that provides advanced predictive analytics. This platform helps breeders to organize, visualize, and analyze complex genomic, phenotypic, and environmental data. Its proprietary AI models are designed to predict plant performance and traits, such as yield and resistance to environmental stressors, with high accuracy. The software features tools for field trial analysis, genomic selection, and modeling Genotype-by-Environment (GxE) interactions. NoMaze offers flexible deployment options, including cloud-based, on-premise, and API access, to meet the governance and technical needs of its clients.
The business model is centered on providing this technology to plant breeding companies, helping them to reduce reliance on expensive and time-consuming field trials. By leveraging AI, the platform intends to streamline the research and development process, increase genetic gain, and ultimately enhance global food security. In May 2024, NoMaze secured $53,800 in a grant funding round from RootCamp. The company has also received backing from other investors including EIT Food, UnternehmerTUM, and Green Generation Fund.
Keywords: predictive analytics, plant breeding, agritech, SaaS, genomic selection, artificial intelligence, crop science, genetic prediction, agricultural data analysis, GxE modeling, phenotypic data, climate-resilient crops, computational biology, food security, digital agriculture, bioinformatics, Munich startup, Jean-Pascal Lutze, Finn Gaida, RootCamp