Differential offers a virtual scale‑up platform that combines high‑throughput micro‑fermentation experiments performed by a robotic lab with AI‑driven digital twins of microbial processes. The collected data are used to build in‑silico models accessible via a web portal, allowing biotech and industrial microbiology teams to run unlimited virtual experiments, optimize media and process parameters, and reduce costly pilot runs while protecting IP.
Funding
$2.1M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
4ORVFounders
Product
Problem
Bioprocess development for microbial fermentation often requires costly large‑scale pilot runs to identify optimal media and process parameters, leading to long development cycles, high R&D expenses, and risk of scale‑up failure.
Solution
Differential provides a virtual scale‑up platform that combines high‑throughput micro‑scale experiments performed by a robotic lab with AI‑driven in‑silico modeling. The robotic system automates liquid handling, fermentation, and measurement to generate industry‑relevant data at microliter scale. Collected data are used to train digital twins that simulate a full spectrum of process conditions. Users access these models through a web‑based interface to run unlimited virtual experiments, rapidly testing hypotheses and optimizing media components, temperature, pH, and other parameters. The platform delivers predictive insights that reduce the need for expensive pilot fermentations, shorten development timelines, and improve product titer and yield while protecting the user’s intellectual property.
Target Audience
Primary customers are biotech companies and industrial microbiology teams developing microbial production processes who need faster, lower‑cost bioprocess optimization before committing to large‑scale fermentation.
Features
- Automated high‑throughput micro‑fermentation experiments with integrated liquid handling and real‑time measurements
- AI‑based modeling that creates digital twins of microbial processes for instant simulation of scale‑up conditions
- Web portal allowing unlimited virtual experiments to explore media and process parameter space
- Full IP protection for proprietary strain data captured either by Differential’s lab or the user’s own resources
- Quantitative impact metrics (e.g., up to 80% titer improvement, 3× R&D cost reduction, 4‑week optimization cycle)
- Integration of stress factor mimicking to ensure data relevance to large‑scale production