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CGT Contractors Find New Roles in Decentralized Manufacturing and Gene Editing

Published Oct 28, 2026 Reads 870 By Corinna Singleman, PhD

Decentralized production, AI process modeling and gene editing are widening the work available to CGT contractors, whose quality and manufacturing expertise remain central.

For cell and gene therapy developers, contractors are becoming more than a source of extra manufacturing capacity. Their production experience and quality systems could help make decentralized treatment models workable as new gene editing and delivery methods emerge. That shift changes the relationship: a CDMO may need to help shape how a therapy is made and controlled, not simply run a process that a developer has already settled.

The outsourcing share is already high: estimates put the portion of CGT production handled by external manufacturers at between 66% and 90%, depending on the source. The range is wide, so it shouldn't be read as a single settled measure of the market. Still, both estimates point to a sector in which outside manufacturers already carry a substantial share of production. CDMOs bring practical manufacturing knowledge that therapy developers may not have in house, says Alan Smith, PhD, global head of innovation at newly formed CDMO Rose Biosolutions.

Smith sees the contractor’s role extending across manufacturing, quality and regulatory strategy. “Highly experienced CDMOs offer broad experience and capability, along with mastery of the activities required for a successful manufacturing, quality, and regulatory strategy needed to realize the partner developer’s vision.” That account describes a broad remit, though the value of such support will depend on the fit between a contractor’s experience and the developer’s particular therapy and process. He says effective partnerships depend on trust built through technical competence and close collaboration. Trust, in this setting, has operational consequences: teams need to share information early enough to identify process problems before they become difficult to resolve.

Quality control is another reason developers outsource. Smith says a CDMO’s quality systems can reduce risks to product attributes during transport and handling. Characterizing those attributes, he adds, helps teams set controls that support consistent products across the logistics chain. This work matters because a therapy’s quality can depend on more than how it was made; its handling between production and delivery also needs to be understood. A quality system can define checks and responsibilities, but it can't remove the need to understand how the product responds to its actual journey.

Local production changes the contractor’s role

Decentralized models aim to manufacture patient-specific therapies close to the people receiving them, reducing the need to transport products over long distances. That approach could change where production takes place and how teams coordinate manufacturing with treatment. It also raises practical questions about keeping processes consistent across locations, since local production still has to meet the quality expectations associated with the therapy.

That shift creates a role for CDMOs that can adapt established manufacturing and release expertise to local settings. The work may involve helping teams determine which process controls can travel with a therapy and which need to be handled at the point of production. Similar systems typically rely on clear procedures, training and timely quality checks; the details will depend on the specific model. The promise of proximity, then, rests partly on whether local operations can preserve the controls that make a product dependable.

Jeff Mocny, PhD, Rose’s vice president of scientific leadership, says contractors can support the quality and expedited release processes needed for bedside production. In his view, their experience can help prepare therapies for safe and effective delivery under decentralized models. Faster release is useful only if teams can make the required quality decisions with adequate information. That can make the contractor’s role more involved: supporting a process that needs to work near the patient, while maintaining clear standards for product release.

New technologies keep contractors watching

Competition among CDMOs is intense, with providers often differentiating themselves through price and capabilities, according to industry analysis. Price remains visible to customers, but capabilities can determine whether a contractor is suited to a particular therapy or production model. For providers, that means keeping pace with technical developments may affect which partnerships they can support. For developers, the relevant question is whether a claimed capability translates into a workable process.

Mocny points to advances in gene editing and gene delivery, including approaches administered in vivo that are showing promise in early studies. AI process modeling is also part of the expanding CGT production toolkit. These developments could change the kinds of manufacturing support developers seek, but their presence in the toolkit doesn't by itself establish how they will be used in routine production. Contractors will need to assess how new methods fit with process design, quality controls and release decisions.

The direction of these technologies is still taking shape, but the practical test for contractors will be whether they can turn new methods into reliable processes, quality controls and release strategies. Here's the thing: a novel technique matters to a manufacturer only when it can be translated into repeatable work. That translation can take coordination between developers and CDMOs, especially when the process is still being refined. This is more significant than it looks: production expertise may influence whether a promising therapy can be made consistently enough to support its intended delivery model.

What the shift means for developers

For developers, choosing a CDMO may increasingly involve weighing how a partner handles quality, logistics and process changes alongside its manufacturing capacity. Those needs are connected. A decentralized model changes where a therapy is made and handled, while new editing or delivery methods may change what the production process must control. If you're working in this space, the useful question is how a prospective partner would help connect those requirements to day-to-day manufacturing decisions.

And yet, the article’s central point is not that contractors can resolve every operational challenge. Their experience can help developers plan for production and quality demands, while the suitability of a particular approach still depends on the therapy and its process. Early promise. The next measure of value will be whether contractors can support new methods and local production with controls that hold up in practice.

The post Decentralization, AI, and Gene Editing Are Opportunities for CGT Contractors appeared first on GEN - Genetic Engineering and Biotechnology News.

Source: Corinna Singleman, PhD · www.genengnews.com

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