
Bota Biofoundry Platform
Our in-house developed Biofoundry platform combines computer algorithms and state-of-the-art biotechnologies, accelerating DBTL (Design-Build-Test-Learn) cycles, enabling cleaner and more efficient biomanufacturing, realizing “Idea to Scale to Commercialization”.
Our foundry |
Bota Biofoundry is a full-stack software-driving-hardware integration
Cell2Cloud@Design
Enable the genomic engineering of microbes through computer aided DESIGN and programming driven BUILD
Cell2Cloud@Scale
Streamline TEST data collection to LEARN the best screening candidates and process optimization opportunities.
Enable the genomic engineering of microbes through computer aided DESIGN and programming driven BUILD
Cell2Cloud@Scale
Streamline TEST data collection to LEARN the best screening candidates and process optimization opportunities.

Design Principles
Magnitude Acceleration
1. Modular platform to adapt to versatile product opportunities and microbes
2. Continuous innovation to drive down per-unit cost of high-throughput operations
3. Robust correlation to transit from plates to tanks to pilot plant
4. Large-scale high-quality AI-ready datasets to enable enzyme & pathway analysis
Robust correlation
Modular platform
Lower per-unit cost
AI-ready datasets
Magnitude Acceleration
Bota redefines the DBTL principles to accelerate the discovery of one-in-a-million by orders of magnitude
Cell2Cloud@Design
translates DNA designs
into machine-readable scripts
With C2C@Design driving the automated workstations, the throughput of building DNA constructs has drastically increased 100-fold.
Scientists spend 30 seconds instead of 30 minutes designing each DNA construct using the Fiddle programming language.
Scientists spend 30 seconds instead of 30 minutes designing each DNA construct using the Fiddle programming language.


Cell2Cloud@Design
Industry’s best enzyme library construction
C2C@Design generates complex enzyme (Site saturation mutagenesis & Combinatorial mutagenesis) library designs , supporting the industry’s best 16-fragment assembly to cover the entire space.
C2C@Design can continuously self-improve the predictive power of its algorithms based on actual data to warn of potential failures.
C2C@Design can continuously self-improve the predictive power of its algorithms based on actual data to warn of potential failures.
Cell2Cloud@Scale
Co-pilot for experiment design and data analysis
Digital experiment traveler simulates screening conditions and recipes for each step in the workflow.
Automated statistical process control drives the Auto Pick to validate the HTS results without human bias
Automated statistical process control drives the Auto Pick to validate the HTS results without human bias
