Computomics is proud to have been selected as a partner in the research and development project "Opti2Fly", which has received funding from the German Federal Ministry of Research, Technology and Space (BMFTR) under its KMU-innovativ program. The project has a total budget of €1.1 million, of which the federal government is contributing €850,000. Computomics is joined in the consortium by REPLOID Group AG (“REPLOID”), TU Dresden and the Max Planck Institute for Evolutionary Biology. Together, the partners aim to develop an AI-powered platform that automatically assesses the quality of live larvae for REPLOID’s breeding program.
REPLOID offers an innovative system for the industrial processing of regional organic residues from the food industry – using larvae of the Black Soldier Fly. These residues are converted into valuable raw materials, including proteins, high-quality fats, and organic fertilizer. At REPLOID's Global Innovation Center in Leipzig, Germany, an interdisciplinary team works to improve the Black Soldier Fly's bioconversion process – from feed formulations and high-performance larval strains to marketable end products.
The research project "Opti2Fly" centers on developing an innovative analytics platform that combines state-of-the-art measurement technology with artificial intelligence methods. The goal is to capture key quality and performance characteristics of living larvae. The findings will directly advance the REPLOID breeding program and further optimize the overall bioconversion process.
Computomics’ contribution
Partners
REPLOID leads the research consortium alongside renowned partners such as TU Dresden, which provides validated reference measurements and the Max Planck Institute for Evolutionary Biology, which is responsible for the biological characterization of the breeding material. The project results are expected to feed directly into REPLOID's production operations.
More information

Dr. Alaukik Saxena
Machine Learning Scientist at Computomics
Reach out to Alaukik Saxena to find out more.
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