Chemistry & BioProcess Digitalization

While the industry has made significant progress in digitalizing the product lifecycle, from late-stage development to commercial manufacturing, challenges still persist. Common issues include fragmented data capture, lack of metadata, disconnected systems, and inconsistent equipment and process contextualization. Manual data transcription, poor interoperability, and limited visibility across R&D and manufacturing hinder tech transfer, slow down innovation, and increase compliance risks. These pain points highlight the urgent need for a unified, scalable, and intelligent digital infrastructure.

Enabling Interoperable, Lifecycle-Spanning Process Knowledge

SciY addresses the challenge of fragmented digital infrastructure by integrating synTQ's process orchestration and real-time analytical control with the ZONTAL Data Platform’s capabilities for data contextualization, method digitalization, and cross-system interoperability. This architecture ensures structured data flow across domains, supports end-to-end traceability, and prepares process data for AI and automation use cases.

Process outputs are transformed into vendor-neutral, metadata-enriched, self-describing data objects, enabling consistent access and reusability across the product lifecycle—from experimental design in ELNs to execution layers like MES. This integration supports scalable digitalization, facilitates method transfer, and strengthens continuous improvement initiatives.

Crucially, the combination of synTQ and ZONTAL extends interoperability to legacy systems and heterogeneous data sources, bridging historically disconnected R&D and manufacturing environments. The result is a bidirectional data exchange architecture that not only supports forward method deployment into manufacturing but also returns operational insights to development teams—enabling iterative process optimization and accelerating innovation cycles.

From Process Orchestration to Enterprise Orchestration

synTQ empowers process chemists and engineers to design and execute complex control strategies through real-time orchestration of instruments, chemometric models, and control logic—all within a compliant, code-free environment. These orchestrations capture raw, meta, and derived data with full integrity, supporting multivariate analysis and process control across unit operations.

With the integration of ZONTAL, orchestration extends beyond the process layer. Acting as an enterprise-level orchestrator, the ZONTAL Data Platform coordinates digital experiments, method execution, and data flows across R&D, manufacturing, and external partners. It connects ELNs, LIMS, MES, and other systems into a unified, metadata-rich environment, transforming synTQ’s control into a scalable, lifecycle-wide orchestration strategy.