Genomatica possesses a disruptive, proprietary, integrated suite of computational and experimental technologies to design, create, and refine novel high-producing organisms and bioprocesses. Genomatica is truly forging new ways to transform living cells into producers of valuable chemical products. The bioprocesses enabled by these live organisms offer breakthrough cost advantages; they are developed in significantly reduced timelines, and offer a sustainable substitute for current petroleum-based chemicals. Their development does not rely on serendipity to succeed.

The company selects target chemicals for development and manufacture based on current and expected market size, ease of substitution, partner needs, simplicity of biological pathway, and a host of other proprietary criteria.

Genomatica strives to be the best in the world at:

• Rapidly designing and assessing technical feasibility of producing any chemical via biological systems. We enable bio-manufactured chemical technology.
• Engineering and evolving the highest performing organisms possible with viable alternate feedstocks. We lead the conversion of existing hydrocarbon based chemical production towards bio-manufacturing.
• Enabling carbohydrates to sustainably displace hydrocarbon based feedstocks in chemical manufacturing through process research .

To facilitate this process, Genomatica has developed the world’s most sophisticated fully-integrated metabolic engineering platform, including:

• Computational Modeling & Automated Pathway Design– Proprietary simulation technology and models of metabolism to exhaustively explore design possibilities for our conversion technologies. We have dramatically expedited rational design.
• Evolutionary Engineering – The patented use of models together with adaptive evolution of living cells to enhance properties and characteristics of natural and engineered organisms.
• Integration of Computational and Experimental R&D Processes – Tight coupling of In Silico and Wet Lab workflows through process integration to drive greater throughput, efficiency, and optimization of our R&D process and timelines.