Levacells provides an AI-driven platform that creates custom cell culture media and feed supplement formulations tailored to specific cell lines and production objectives. The system predicts nutrient recipes and feeding strategies that improve growth and yield while reducing experimental workload, and delivers formulations that users fully own and can produce in-house.
Funding
Funding not disclosed
Founders
Product
Problem
Developing optimal cell culture media and feed supplements traditionally requires extensive experimental screening, which is time‑consuming, costly, and often yields sub‑optimal nutrient mixes for specific cell lines and production goals.
Solution
Levacells offers an AI‑driven platform that generates custom formulations for cell culture media and feed supplements tailored to individual cell lines and defined process objectives. By integrating established scientific knowledge with advanced optimization algorithms, the system predicts nutrient recipes that enhance cell growth, increase product yield, and maintain critical quality attributes while requiring far fewer experimental runs. Users receive both the optimized formulation and a compatible feeding strategy that can be implemented in existing bioprocess setups. The resulting recipes are fully owned by the customer, allowing further modification or in‑house production. The platform also ensures that proposed formulations meet solubility and other physicochemical constraints, making them ready for laboratory use.
Target Audience
Levacells serves biopharma manufacturers, biotech companies, and contract development and manufacturing organizations that require optimized cell culture media and feed solutions for recombinant protein, antibody, or cell‑therapy production.
Features
- AI‑based formulation engine that combines literature data with proprietary optimization algorithms to predict nutrient mixes for specific cell lines
- Ability to define custom objectives (e.g., higher titre, reduced glycosylation) and receive formulations aligned with those goals
- Generation of accompanying feeding strategies compatible with standard bioreactor setups
- Physicochemical validation ensuring solubility and stability of recommended media components
- Significant reduction in experimental workload, delivering optimized recipes with orders‑of‑magnitude fewer trials than traditional screening
- Full ownership of the final formulation, permitting users to produce, modify, or source ingredients independently