Define goal & success criteria
Customer & LABMaiTE GmbH
Classical DoE falls short when faced with the thousands of permutations in a modern bioprocess. When you miss nonlinear interactions, you pay the price in suboptimal yields, lost time and money.
LABMaiTE offers a dual-force solution: Expert Bioprocess Engineers + Iterative AI.
Our specialists dive into your specific challenges to plan and refine your experimental design.
Our the proprietary models navigate the "impossible" search spaces to uncover hidden optimizations. We believe that even the best AI needs a human pulse. That’s why our AMLAMaiTE platform is backed by a team of specialists who oversee every step of your experimental planning.
We pair your vision with a team of experts supported by advanced iterative AI designed to handle the nuances of biological data. From initial experimental design to deep-dive insights, we provide the collaborative reinforcement you need to turn bioprocess uncertainty into scientific certainty.
Titer Improvement
Increase in Enzymatic Activity
Process Output
Cost reduction
Customer & LABMaiTE GmbH
Customer
LABMaiTE GmbH
Customer & LABMaiTE GmbH
This is AI grounded in biology — not the other way around. AMLAMaiTE isn't a black box. Every algorithm is grounded in real wet-lab validation and protected by a European patent.
These are results from our in-house wet lab validation, which were published in the Journal of Chemical Technology and Biotechnology. The results were further validated and confirmed by experiments done at Beckman Coulter in 2025 using the Biomek system (Application note will be published soon).
The presented data demonstrate the impact of AMLAMaiTE media blend optimization compared to classical DoE-based media blend optimization on protein titers. Optimization of media composition supports enhanced productivity and improved downstream throughput as demonstrated by IgG titers shown in the graph below. All data were generated by customers in their own facilities under process-relevant conditions.
Iterative media optimization in a bacterial expression system resulted in a significant improvement in enzyme activity. Following three rounds of optimization, enzyme activity increased by 146% relative to the standard medium. Individual experiments were designated as R (replicate) followed by a two-digit identifier. All data was generated by the customer under process-relevant conditions.
Cost-aware optimization via balancing media. The objective was to maximize enzymatic activity, while minimizing the process cost.
All data were generated by the customer under process-relevant conditions.
LABMaiTE brings AI and automation together across multiple research domains.
Contract Development
R&D Partnerships
ConsultancyExtract deep insights from label-free microscopy. Distinguish active from inactive cells, matching or exceeding human performance for drug screening.
In-house automated laboratory systems for experiment execution. Have a unique challenge? Let's build the solution together.
Our mission is to assist researchers with the latest AI technology, enabling them to quickly test and iterate on ideas by offering customized data analysis, data insights, and smart experimental design.
Our goal is to bridge the gap between data and discovery, thus revolutionizing the way we understand cell characteristics.
Join LABMaiTE's COO Roman Melachrinos for a deep dive into how AI-driven experiment design is transforming media optimization — delivering higher yields with significantly fewer experimental runs.
Discover how LABMaiTE’s AI-driven Experiment Design outperforms classical DoE, accelerating bioprocess optimization with fewer experiments and higher yields.
