The company offers an AI‑driven synthetic biology platform that designs and engineers microbial strains to produce bio‑based chemicals and polymers. Its automated design‑build‑test‑learn workflow, real‑time fermentation analytics, and scale‑up simulation tools enable customers to develop high‑yield strains in months and integrate them into existing bioprocessing facilities, reducing carbon emissions and capital costs.
Funding
$300M 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.
BGFounders
Product
Problem
Industrial manufacturers rely heavily on petroleum-derived chemicals and polymers, leading to high carbon emissions and supply-chain volatility. Developing bio-based alternatives is hampered by lengthy strain‑development cycles and uncertainty in scaling microbial production to commercial volumes.
Solution
The company combines synthetic biology with machine‑learning models to design and engineer microbial strains that synthesize target chemicals and polymers. Its end‑to‑end platform automates the design‑build‑test‑learn loop, enabling rapid identification of high‑yield pathways and predictive scale‑up from lab to pilot fermenters. By integrating real‑time fermentation analytics, the system iteratively refines strain performance, shortening development timelines from years to months. The resulting bio‑based materials meet or exceed the mechanical and thermal specifications of conventional petrochemical products while offering a lower environmental footprint. Customers can adopt the engineered strains directly in existing bioprocessing facilities, reducing capital investment and accelerating market entry.
Target Audience
Primary customers are chemical, plastics, and consumer‑goods manufacturers seeking sustainable, high‑performance alternatives, as well as corporate R&D labs that require accelerated bio‑material development.
Features
- AI‑driven enzyme and metabolic pathway prediction that optimizes for yield, productivity, and feedstock cost
- Automated DNA assembly and high‑throughput strain construction pipeline
- Real‑time fermentation monitoring with data‑fusion models for rapid phenotype assessment
- Scale‑up simulation tools that predict pilot‑ and commercial‑scale performance from bench‑scale data
- Curated library of proprietary bio‑based monomers and polymerization chemistries
- Cloud‑based dashboard providing version control, analytics, and collaborative workflow management
- Compatibility with standard bioreactor hardware and downstream processing equipment