BioMap and Shiqi Biochemical Forge Strategic Alliance to Empower Gas Fermentation with Foundational Life Science AI Models

Recently, BioMap, a global pioneer in foundational life science models, has reached a strategic partnership with Food Fermentation Biotech, a leader in gas fermentation. Both parties will work together to advance...“AI"Empowering Gas Fermentation" Innovation Collaboration Project, Jointly Exploring the Future Direction of Intelligent Biomanufacturing.

In today’s era of rapid global bioeconomy development, artificial intelligence is reshaping the boundaries of life sciences and manufacturing at an unprecedented pace, becoming a key bridge linking scientific research innovation with industrial transformation. This collaboration aims to leverage the powerful cognitive and reasoning capabilities of large-scale life science models, combined with the deep industry expertise and data resources of Shiqi Biochemical in the fermentation field, to build a sustainable, self-learning intelligent optimization system for gas fermentation, propelling biomanufacturing into a new phase of efficiency, precision, and predictability.

Both parties will jointly explore how to utilizeAITechnical Implementation of More Efficient, Stable, and Predictable Operation Modes in Biomanufacturing Processes. Focusing on pilot-scale gas fermentation,AIOptimizing the fermentation process as the core objective, through the deep integration of intelligent algorithms, data mining, and knowledge modeling, to drive intelligent decision-making and continuous optimization in fermentation production. Relying on the globally leading fermentation dataset accumulated by BioMap, conduct in-depth analysis of multidimensional process parameters, metabolic characteristics, gas flow, and product conversion rates, refine process rules, identify "golden batches," and provide a solid data foundation for intelligent optimization and continuous improvement mechanisms.

BioMapBioMap is a global pioneer in foundational large models for life sciences.2100BioMap's billion-parameter biolanguage large model decodes the underlying rules of genomes, proteins, cells, and biological systems, acting as a "biological simulator" to significantly reduce reliance on traditional experimental models and empower R&D. Currently,BioMapIn the fields of drug research and development, biomanufacturing, basic scientific research, and healthcare300More than 10 tasks have been implementedState-of-the-Art（SOTA) performance, in dozens of professional细分 fields for1000BioMap provides large model-driven professional agents to clients worldwide.AI Agent), integrating data, models, and experimental capabilities to deliver cutting-edge applications in drug discovery, bioresponse efficiency enhancement, biological data interpretation, and knowledge acquisition.

BioMap's "Life Science Large Model + The innovative paradigm of "intelligent agents" has been introduced into the field of biomanufacturing, creating intelligent process agents that integrate the entire closed-loop process of "perception-cognition-decision-optimization-feedback." By connecting multi-source heterogeneous data, digital perception of the production process is achieved; through model recognition of the nonlinear relationships between process parameters and quality attributes, process understanding and predictive capabilities are enhanced; and by utilizing optimization algorithms for decision support and dynamic feedback control, this drives the transformation of biomanufacturing from "experience-driven" to "intelligence-driven," accelerating the industry’s entry into the era of predictive and adaptive control.

Shiqi Biotech (Nanjing Shiqi Biotech Co., Ltd.) focuses on the industrial application of gas fermentation technology and is one of the world's leading synthetic biology companies. The companyCO、CO₂、H₂Using gases as raw materials, the production of high-value biobased products through microbial catalysis has formed a complete chain system from strain development, fermentation control to scale-up verification. Relying on a high-throughput fermentation platform and mature pilot-scale capabilities, BioMap has achieved precise regulation of metabolic pathways and efficient conversion, leading globally in gas fermentation capacity, technical throughput, and process data accumulation.

In the industrialization process of synthetic biology, laboratory results often face challenges such as difficulty in scaling up, low process reproducibility, and inconsistent data standards, which have become common pain points in the industry. As an important pathway for resource utilization and green manufacturing, the core difficulties of gas fermentation lie in limited mass transfer of gaseous substrates, obstructed metabolic flux, and complex scaling-up processes, which have long constrained process efficiency and economic feasibility.

BioMap will achieve this through the combination ofAIModeling and intelligent analysis capabilities, conducting in-depth mining and pattern discovery of massive process data, achieving intelligent management and yield enhancement in pilot production stages. Providing intelligent decision support for enterprise production processes, realizing the implementation of scenarios such as intelligent management and yield optimization in pilot production stages, further enhancing industry leadership, and drivingAIIn the deep application of biomanufacturing.

This collaboration represents a deep exploration into intelligent biological manufacturing and is an inevitable trend in the intelligent development of the industry. For FoodAir Biotech, the project will accelerate the intelligent transformation of its gas fermentation data, establish an intelligent management and control system for the pilot-scale production phase, and achieve increased production capacity and cost optimization. For BioMap, the project offers an opportunity to validate and evolve large foundational models in life sciences within industrial-scale biomanufacturing scenarios, accumulate cross-process intelligent application experience, and enhance the industrialization capability of the model.

Dr. Xu Ziyan, Vice President of BioMap and Head of Strategy and Innovation, stated that the core of the cooperation between the two parties lies inAIDeep Integration of Large Models with Industrial Scene Requirements: BioMap's large model technology will provide intelligent driving force for AeroBioChem, assisting in technology transformation and efficiency enhancement; meanwhile, AeroBioChem's rich industrial data also provides...AIThe application of the model provides valuable practical scenarios.

In the short term, the collaboration between both parties will accelerate the summarization of experience and the discovery of patterns based on massive gas fermentation data, assisting in the intelligent management and yield improvement of pilot-scale fermentation processes, and promoting the rapid and efficient production of key products. In the long term, the accumulated cooperationAIThe large model and industry experience can be extended to other bio-chemicals and derivative fields related to gas fermentation, forming a replicable intelligent ecosystem of "data empowerment—knowledge discovery—intelligent decision-making—industrial application," driving the comprehensive intelligent upgrade of bio-manufacturing.

Both parties will continue to deepenAIThe collaborative application in process optimization, system regulation, and other aspects aims to build an intelligent manufacturing system with self-learning and self-optimization capabilities. In the future, BioMap and SyngenTech are expected to jointly construct a leading synthetic biology smart factory in the industry, driving the bio-manufacturing industry in China and even globally towards intelligence, efficiency, and sustainable development, providing a new intelligent engine for production optimization and industrial biotechnology innovation.