Your Virtual Scale-up Platform for Bioprocess Optimization
We work with you on making microbial growth predictable, scalable, and cost-effective through robotic lab automation and AI-driven insights.
•Approach
We Scale Down to Scale Up
Automated experiments
Our robotic lab helps you gather industry-relevant data affordably - leveraging a closed-loop cycle of liquid handling, fermentation and measurements.
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Digital modeling
Our specialized models deploy AI to make accurate predictions from wet-lab data such as biomass growth or protein expression.
Bioprocess optimization
We optimize fermentation outcomes using AI models tailored to your process, delivered through our online platform for easy integration into your R&D workflow.
• How it Works
We Scale Down to Scale Up
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HTS Data Acquisition
By mimicking large-scale stress factors in a microliter-scale environment, we gather industrially relevant data as affordably as possible.
AI-Based Modeling
Our specialized models deploy AI to make accurate predictions from wet-lab data such as biomass growth or protein expression.
Domain-Specific Application
We drive fermentation outcomes using verticalized AI models, seamlessly integrating these tools into bioprocess R&D workflows.
•Our Supporters
•Impact
Unlock Your Organism's Full Potential.
Cheaper, Faster, Better.
Develop processes cost-effectively.
Reduce costly large-scale fermentation runs by simulating and optimizing processes before scaling. Simulate fermentation instantly and test hypotheses 10x faster.
Accelerate time to market.
Our streamlined data collection and modeling processes reduce process development cycles, enabling our customers to achieve a scalable, efficient process in fewer iterations.
Implement more efficient and low-risk bioprocesses.
Our models empower customers to utilize more efficient and sustainable process conditions, reducing operating costs and enhancing sustainability.
3x
4 weeks
80%
•Cooperation
Two entry points. One optimization engine.
Begin by collaborating with Differential Bio to determine the medium components and process parameters that should be optimized. Then, engage with us to capture data on your proprietary strain with full IP protection using our robotic lab setup, or choose to capture the data yourself using your own resources or by sending historical data.
•Platform
Our Virtual Scale-up Platform
Once the data is collected, we build an in-silico model that simulates a full spectrum of conditions. Through our web-based platform, you can access this model to run unlimited virtual experiments—enabling rapid, cost-efficient optimization.
•Technology
BioProcess Optimization Hub
Collected data, the in-silico model is then developed to simulate the full spectrum of conditions. You can access this model through our web-based platform to run unlimited virtual experiments, enabling efficient optimization.
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•Metrics
Aligning Biology with Economics through Measurable Impact
Define your optimization objective—such as growth, yield, or cost—and we design targeted experiments and build predictive models to simulate and optimize the corresponding bioprocess parameters.
•Increase revenue
Maximize revenue by optimizing bioprocess parameters that enhance product titer and yield, enabling higher-value outputs and efficient scalability.
•Reduce cost
Minimize production costs by optimizing bioprocess configurations that reduce resource consumption while sustaining high yield and performance.
•Product quality
Optimize nutrients, stress factors, and cultivation parameters to maintain high cell viability and improve product quality from a healthy, productive culture.
Biomass growth
Maximize cell mass and density by optimizing nutrient conditions to increase cell dry weight (CDW), optical density (OD), and viable cell count (CFU/mL).
Titer, rate, yield
Optimize bioprocess conditions to maximize titer, production rate, and yield (TRY), ensuring efficient and scalable product formation.
Cell Viability
Optimize nutrients, stress factors, and cultivation parameters to maintain high cell viability and ensure a healthy, productive culture.
Other
We can optimize further KPIs, finding bioprocess configurations that achieve optimal product purity, stability, etc.
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•Applications
One Platform. Endless Possibilities.
From strain selection to scale-up and shelf-life optimization, our platform delivers solutions across the entire bioprocessing pipeline. With modular, data-driven tools and unlimited virtual experimentation, you can unlock insights at every stage—faster, smarter, and all in one place.
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Find new carbon-, nitrogren- and mineral sources, among other beneficial compounds for your medium development and -optimization.
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Compare the performance of strains-of-interest, validate which genetic interventions yield the desired result, etc.
Learn about the performance of complex media and industrial side-/waste streams on your specific microbial strain.
Leverage bioinformatics workflows to model cell metabolism and predict fermentation KPls.
Analyze your data and enrich it with cell response models to derisk your fermentation scale-up before you run the batch.
Pick the right cryopreservation formula for your post-freezedrying survival, configure DSP equipment, etc.
Find the right strain, media, and bioprocess to optimize shelf-life stability of your end product.
From months to days -
make your bioprocess work for you.
•About Us
We are Differential
Martin is Differential Bio’s technical co-founder, leading the development of our robotic lab automation and AI infrastructure. An expert in AI and autonomous systems, Martin brings deep experience from Recogni, where he helped scale cutting-edge technology from concept to real-world deployment. At Differential, he ensures our platform evolves continuously—intelligent, automated, and built to scale.
Martin Patz
Konstantin merges a fresh perspective from his finance and computer science studies, combined with experience at Stanford, with hands-on exposure to the biotech world—from the YC-funded startup Invitris to the innovation ecosystem at Nucleate. At Differential Bio, he drives strategic and operational initiatives at the intersection of science, technology, and execution.
Konstantin Amm
Dong is Differential Bio’s scientific co-founder, driving the biological innovation behind our digital twins. With deep expertise in microbial fermentation and high-throughput screening, Dong is responsible for the data foundation of our predictive models. Her experience as co-founder of Nosh.Bio ensures our biology is grounded, scalable, and built for real-world impact.
Dong Zhao
Christian leads Differential Bio’s commercial and partnership strategy, ensuring our platform embeds deeply into real-world biomanufacturing workflows. With a background in bioinformatics and experience scaling venture-backed companies like Y42 and Dialogue from early stage to IPO readiness, he shapes the company’s strategic vision and drives its mission to build foundational infrastructure for the bioeconomy.
Christian Spier
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Christian Spier
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Christian Spier
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We work with you on making microbial growth predictable, scalable, and cost-effective through robotic lab automation and AI-driven insights.
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