At AnalysisMode, we don’t just build AI—we engineer intelligence that evolves. Bioprocess development is complex, unpredictable, and dynamic. So why rely on static models? Our Neuroevolution framework doesn’t just analyze data; it learns, adapts, and optimizes continuously, ensuring our AI is always in sync with real-world bioprocessing challenges.
AI Technology: Smarter, Faster, and Built for Bioprocessing
At the core of our technology lies Neuroevolution AI, a self-optimizing, adaptive intelligence that forms the foundation of all our AI-driven solutions. These include:
- AI-Driven Digital Twins – Virtual bioprocess models that predict, simulate, and optimize without relying solely on physical experimentation. A digital twin is a virtual representation of a bioprocess that can be tested and adjusted in silico before applying changes to real-world systems.
- AI-DoE (Design of Experiments) – Smarter, targeted experimental design that reduces workloads and accelerates insights. AI-DoE enhances traditional DoE methodologies by using AI to select optimal experimental conditions, reducing the number of required trials.
- AI-Bioreactor Control – Optimizing feeding strategies, pH balance, and metabolic shifts to minimize batch variability and increase yield. This involves AI-driven adjustments to nutrient feeds, aeration, and process parameters to maintain optimal cell culture conditions.
- AI-Cell Culture Prediction – Predicting cell growth, metabolism, and viability to ensure process stability and reduce failures. AI models analyze historical and real-time data to anticipate culture behaviors and optimize growth conditions.
A Smarter, More Adaptive Approach
- Beyond Fixed Models: Traditional AI relies on predefined architectures, often requiring manual reconfiguration. Our AI evolves dynamically, optimizing its structure in response to real-world process conditions.
- Tailored for Bioprocessing Complexity: Our models capture multi-factor interactions, nonlinear dependencies, and variations in process conditions—critical for real-world applications.
- Continuous Adaptation: Unlike static models, our AI continuously refines its understanding and predictions, learning from every experiment and new data point.
The Power of Neuroevolution in Training
- Evolutionary Optimization: Instead of training a single model, we evolve entire populations, allowing only the best models to persist, ensuring high accuracy and adaptability. Neuroevolution employs principles of natural selection, generating new model variations and selecting the best performers for further refinement.
- Multi-Activation Adaptability: Each node can use multiple activation functions, allowing the model to self-tune for superior performance across diverse conditions. Activation functions control how signals flow through the AI model, enabling it to learn complex patterns.
- Incremental Learning: Mini-batch evolution enables controlled updates, preventing overfitting while ensuring precise, targeted learning. By training on smaller data subsets, models can generalize better without being overwhelmed by noise.
- Temporal Modeling: Bioprocesses evolve over time. Our AI captures these dependencies through context windows, enabling precise, data-driven decision-making. Temporal modeling allows the AI to recognize trends and anticipate future process changes.
Transparent and Trustworthy AI
- Explainable AI (XAI) for Interpretability: While not unique to AnalysisMode, XAI principles ensure that our models provide clear, traceable, and scientifically valid predictions, crucial for regulatory compliance. XAI methods help users understand why a model made a specific prediction, increasing trust and reliability.
- Intelligent Feature Selection: Our AI doesn’t just analyze data—it identifies which parameters truly drive outcomes, filtering out noise and enhancing decision-making. Feature selection optimizes model accuracy by focusing on the most relevant variables.
- Compliance-Ready AI: Designed with process validation, quality control, and regulatory audits in mind, ensuring reliable and actionable insights. This ensures that AI-driven decisions align with industry regulations and best practices.
AnalysisMode isn’t just another AI provider—it’s a partner in innovation. We empower scientists, engineers, and decision-makers with AI that doesn’t just assist—it evolves, collaborates, and optimizes.
This is AI built for bioprocessing. This is AI that learns, adapts, and drives progress.