our technology

Media Development –
A Data Problem

Media development is intrinsically hard. A typical media formulation contains 60+ interacting ingredients. Taking only 3 concentration levels, this creates more possible combinations than grains of sand on Earth. Conventional approaches lack the infrastructure to capture performance data at this scale, forcing researchers to test only a tiny fraction of possible formulations. Without systematic data generation and analysis, most formulations remain massively under-optimized making media an untapped potential.

The MediOP™ Solution

Our MediOP™ platform combines data, models, and design iteratively by integrating high-throughput robotic automation, AI, and deep cell biology expertise to generate rich performance data at scale. Leveraging our platform, we have built the first data-driven design process for cell culture media. Unlike conventional approaches, we can generate rich performance data at scale. Our machine learning models extract insights from thousands of parallel experiments, while machine learning algorithms optimize formulations across multiple objectives with unprecendented speed and efficiency.

Our MediOP™ Approach

— Model —
Cell & Ingredient Expertise

We combine scientific expertise with AI models to extract deep insights into cell growth and function creating a blueprint for the most effective solution.

— Design —
AI-enabled Formulation Decisions

Our machine learning algorithms analyze biological data to propose the best formulations. Our AI models identify combinations that make improvements across specified factors.

— Data —
High-throughput Robotic Automation

Robotics and automation physically test thousands of formulations on chosen cell lines in parallel, generating unbiased biological performance data at scale. We capture live measurements of the designated optimization criteria, building structured datasets essential for AI-driven optimization.

Our Data Advantage

Every formulation we develop makes MediOP™ more powerful. We own the world's largest structured dataset on media performance. This continuously expanding dataset enables transfer learning: our models generalize performance patterns across cell lines and applications, delivering strong predictions even for cells we haven't previously optimized.

Our Partners

The Multus media development team are extremely efficient and knowledgable and have taken the hassle out of the complex media optimization process. We’ve seen impressive formulation results in a short period of time due to their innovative and high-throughput media development pipeline.

Dr. Olivia Ogilvie

CEO, Opo Bio

With their innovative approach to media development and their collaborative, enthusiastic spirit, Multus has been an extremely valuable partner for us as we progress in our media development journey.

Christopher Gilchrist

Head of Science, Jellatech

Multus’ flexibility to direct their cutting-edge methods towards bacterial and fungal cultivation and their close collaboration resulted in cost- and time-effective yield improvements and a partnership that feels like a seamless extension of our own R&D.