Becoming offers an end‑to‑end synthetic biology platform that designs, builds, and optimizes microbial cell factories for industrial bioproduction. The system combines genome‑scale pathway modeling, high‑throughput CRISPR editing, AI‑driven strain optimization, and automated fermentation control, with cloud‑based workflow management for scalable, GMP‑ready manufacturing. It serves chemical, material, and biotech companies seeking bio‑based alternatives to petrochemical processes.
Funding
Funding not disclosed
Founders
Product
Problem
Conventional chemical and material production relies heavily on petrochemical feedstocks, high energy inputs, and generates significant waste, making scaling sustainable biomanufacturing difficult for many industrial players. Existing bioproduction methods often suffer from low yields, long development cycles, and limited adaptability to diverse target molecules.
Solution
Becoming provides an end‑to‑end synthetic biology platform that streamlines the design, construction, and optimization of microbial cell factories for industrial bioproduction. The platform combines computational pathway design, high‑throughput genome engineering, and automated fermentation control to accelerate strain development and improve product yields. By modularizing chassis organisms and leveraging AI‑driven optimization, the system enables rapid iteration and scalable manufacturing of chemicals, materials, and specialty compounds. Integrated data analytics and cloud‑based workflow management ensure reproducibility and facilitate transfer from pilot to commercial scale, supporting more sustainable and cost‑effective production pipelines.
Target Audience
Primary customers are industrial biotechnology firms, chemical manufacturers, and material producers seeking to replace petrochemical processes with bio‑based alternatives, as well as contract development organizations that require rapid strain engineering services.
Features
- Computational design suite for metabolic pathway selection and enzyme engineering using genome‑scale models
- High‑throughput CRISPR‑based genome editing pipeline with automated construct assembly
- Modular chassis library covering bacteria, yeast, and filamentous fungi with standardized parts for rapid strain swapping
- AI‑guided optimization loops that predict bottlenecks and suggest gene expression tuning to maximize yields
- Real‑time fermentation monitoring and control platform integrating sensor data, feed strategies, and process analytics
- Cloud‑hosted workflow orchestration with versioned data provenance and collaborative project dashboards
- Scalable production handoff tools that generate GMP‑ready protocols and regulatory documentation
- Secure IP management layer to protect proprietary designs and enable controlled licensing