Workflow & Process Orchestration

The Only Orchestration Platform Managing R&D, QA/QC and Manufacturing, from Scientific Workflows to Real-Time Process Control
Connected Digital
Ecosystem
Connect data, systems, and workflows/processes; keep relationships visible, traceable, and machine‑usable
Intelligent Analytics Loop
Automate analytics and feed structured results back for continuous, closed‑loop learning
Real‑Time Process Control
Enable real‑time feedback and feed‑forward control for stable, optimized processes
Scalable, Vendor‑Neutral Integration
Unify diverse instruments and platforms across layers without lock‑in

Smart, Connected Ecosystem For R&D and Manufacturing

SciY empowers manufacturers from pharma, chemical, consumer health, food & beverage industries to move beyond fragmented automation toward a digitally continuous, orchestrated ecosystem, a critical step for staying competitive in an era defined by speed, complexity, and compliance.

SciY provides a comprehensive orchestration and data harmonization framework that focuses on:

 - R&D and Manufacturing Workflow Management

SciY’s solution can handle workflow design, triggering, scheduling, and queuing. It coordinates execution across instruments, robotics, and supporting systems according to enterprise standards, enforcing policies, validation rules, and version control for shared processes. It provides monitoring, dashboards, and real-time system health metrics with real‑time feedback and feed‑forward control for stable, optimized processes.

- Data and Knowledge Management

SciY ensures a continuous flow of data and knowledge across the whole product lifecycle. For each executed operation, SciY manages data capture, ingestion, and contextualization so that all results are enriched with complete metadata, parameters, analytical outputs, and procedural context making data self-describing and future-proof. The collected data is standardized and saved in a vendor-neutral format for reutilization, interoperability, and secondary analysis. Processed results automatically feed back into downstream experiments, modeling routines, or optimization cycles, enabling continuous learning and progression from planning to execution to insight.

 

- Data Integrity and Compliance

SciY offers a unified, compliant data platform to harmonize information across instruments and systems using FAIR principles. The platform embeds 21 CFR Part 11 and ALCOA+ into the workflows, ensuring complete, tamper‑proof, and fully traceable records. With strong governance and authentication controls, it secures controlled access and maintains reliable, machine‑usable relationships between data, processes, and decisions. This transforms scattered datasets into a consistent, trusted asset ready for automation and orchestrations.

- Interoperability and Open Integration

SciY’s solutions integrate with existing systems (e.g., ELN, LIMS, ERP …) and instrumentation, through an open, vendor‑neutral architecture. Using APIs, event connectors, SQL interfaces, and standardized data contracts, it ensures smooth data flow across environments. Its connector framework supports diverse technologies so organizations can upgrade or expand without disruption. SciY becomes the connective layer that unifies teams and tools while avoiding lock‑in.

Scalability: Multi-Layer Orchestration

SciY supports orchestration at multiple levels, allowing organizations to standardize workflows while preserving local flexibility and speed. 

  • At the instrument level, workflow orchestration runs close to the equipment with real‑time feedback, monitoring, and data checks. 
  • Across laboratories, orchestration balances workloads, keeps execution consistent, and connects teams through shared methods and coordinated task routing. 
  • At the enterprise level, orchestration defines standard workflows, compliance rules, and templates that harmonize operations across sites. 

This multi‑layer model scales from a single‑lab pilot to multi‑site deployments and can even extend to external partners such as CROs or CDMOs. The result is global consistency with the agility to adapt locally where needed.

Our solution has demonstrated true enterprise performance in production, sustaining 1 TB/hour of data ingestion across 5,000 instruments for a leading biopharma company, with consistent processing times under 90 seconds for smaller files and under 30 minutes for larger files (e.g., 1 GB), including full conversion into FAIR digital assets. This scale enables AI‑ready data pipelines, global standardization, and reliable orchestration across the most demanding scientific and manufacturing environments.

Webinars

Silos
January 21 2026

From Silos to Synergy: How Smarter Data Flow Transforms Pharma

Join us for a dynamic session on AI-driven innovation in pharma, sponsored by SciY. Alongside other expert perspectives, we’ll showcase SciY’s approach to turning data into actionable insights, helping teams work smarter, accelerate processes, and deliver quality with confidence.
Discovery of small molecules that target RNA. NMR is the method of choice.
On Demand Session - October 13, 2025

From Fragmentation to Integration: Single interface workflows with ZONTAL Operations

Laboratory efficiency is hindered by poor integration between planning, execution and documentation tools; fragmented user interfaces; and disconnected raw, processed, and interpreted data. ZONTAL presents Operations: a solution for integrating all of your digital lab platforms, consolidating your analyst's working interface to just your ELN, and automating data handling in GxP-compliant cloud storage.
Discovery of small molecules that target RNA. NMR is the method of choice.
On Demand Session - July 17, 2025

Enhance processes from R&D to GMP Manufacturing: synTQ and ZONTAL Integration

Join our webinar to explore the integration of synTQ and ZONTAL Data Platform to enhance data management across product development. In this session, we will present the improvements in data handling, analytics, and compliance offered by the new Data Platform adapter in synTQ.
Automating the processing of analytical data for multiple drug discovery applications
On Demand Session - April 09 2024

Automating the Processing of Analytical Data for Multiple Drug Discovery Applications

Explore how AstraZeneca scientists and IT experts streamline purification‑lab workflows by automating analytical data processing, improving efficiency, review speed, and integration across drug discovery applications.