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Due Date	25 Apr 2025
Status
Stakeholders	marie.goavec@syensqo.com, brian.bian@syensqo.com
Outcome
Contributors
Responsible	OLIVEIRA, Tiago

This page aims to translate the functional requirements into architecture tangible elements creating a engineering value perspective on the initiative - to assess business capabilities relevance versus architecture complexity.

Architecture Requirements Assessment

Quality Attribute	Requirement - Architecture Concerns	Business Requirement Item
Interoperability	How "AI system" gather info from public & internal sources for scientists real-time evaluation?	Understanding Experimental Requirements and Information Collection
Usability	How "AI system" filter and displays complex data structure and diagrams?	Molecular Modeling and Simulation
Usability	How "AI system" supports/makes proposals to scientists on molecular modeling and simulation?	Molecular Modeling and Simulation
Usability	How "AI System" monitors digital reactor and formulation workstation processes to ensure accuracy/consistency of sample preparation?	Molecular Modeling and Simulation
Consistency	How "AI System" ensures accuracy/consistency of sample preparation?	Execution of Experimental Plan
Usability	How "scientists" monitor progress of digital reactor and formulation process in real time?	Execution of Experimental Plan
Interoperability	How "Central Control System" capture instrument data and promote it to Data Analysis System?	Sample Analysis and Data Processing
Interoperability	How "Central Control System" onboard/integrate new instruments?	Sample Analysis and Data Processing
Consistency	How can "AI System" make recommendations for the experimental scheme to the scientists based on historical data and current results?	Experimental Optimization and Iteration
Interoperability	What types of sensors "AI System" will connect and how it will monitor Environment and instrument parameters in real-time to schedule maintenance (to reduce downtime)?	Intelligent Management and Maintenance
Safety	How "AI System" automatically checks existing group safety regulations/procedures and evaluates the safety of new instrument/processes/Management of Change to recommend additional safety monitoring parameters?	Safety and Compliance
Usability	How "AI System" allows scientists to access experiments database for evaluation?	Knowledge Management and Collaborative Work
Usability	How "Virtual Assistant" provides suggestions on best practices to scientists?	Safety and Compliance
Usability	How "AI System" enhances team collaboration, allows sharing data and offers personalized collaboration tips (recommendations)?	Knowledge Management and Collaborative Work
Usability	How "Reporting - Visualization System" keeps track on the regular work-flow to create analysis?	Automatic Report Generation and Environmental Control
Usability	How "AI System" automatically adjusts parameters based on experimental needs for optimal conditions?	Intelligent Management and Maintenance
Usability	How "Reporting - Visualization System" allows multi-project management?	Visualization System and Resource Scheduling
Interoperability	How "Voice User Interface (VUI)" allows personas in the lab to interact with Instruments and manage experiments?	Voice User Interface

Reference:

Architectural Concerns

Connected Research & Sustainability > Architecturally Significant Requirements - Architecture Proposal - SMART Lab > Captura de pantalla 2025-11-10 165240.png

Wet-Lab

1. The "Big Data Hub" should be compliant with CyberSec OT/IT constraints.
2. The solution must provide extensible and resilient interfaces mechanism for integrating with Syensqo LIMS, ELN and AI systems.
3. Foundational or Pre-trained AI/LLM models consumed by Edge or Regular computing must be validated from the Syensqo AI standpoint and CyberSec constraints (+AI Risk).
4. Local network capacity must be adequately dimensioned to support the throughput of the number of sensors and their potentially complex and large data types capturing.

Dry-Lab

1. Interoperability between systems (Machine Learning, Modeling-Simulation and LIMS/ELN) becomes critical to achieve efficiently the target seamless workflow.
2. Data integration should be taken into consideration to ensure the lineage and data consistency across different systems where users will perform their activities.
3. Computer power is also critical for fine-tunning, training and real-time suggestions (here also low-latency network is a sensitive aspect to take into account).

→ It is also a concern to consider that eventually the solution used for Shanghai may not be generalizable or reusable in other regions, outside of China, due to aspects related to:

Contract and legal for having the same vendors
Interoperability with Syensqo Application Platform for experiments (LIMS, ELN)
Data classification and data exchanges between regions

Utility Tree

The value engineering work on the user requirements allows to create such mind-map diagram so to visually capture the architectural significant requirement and its business criticality and complexity to be implementend.

Connected Research & Sustainability > Architecturally Significant Requirements - Architecture Proposal - SMART Lab > SMART-Lab-HLD-Utility-Tree.drawio.png

Personas - Profiles

Syensqo Lab Expert
AI System
Scientists
Researchers
Lab Technicians
Virtual Assistant
Voice User Interface (VUI)

Environments

Wet Lab:
Dry Lab:
OnPrem:
Cloud Infra:

Components - Building Blocks

AI System
Digital Reactor
Formulation Workstation
Analytical Instruments
Data Analysis System
Central Control System
Reporting - Visualization System
Voice User Interface (VUI)

High Level Design Architecture

There are three different views to describe the laboratory environment and the application/infrastructure architecture to accomplish the business needs.

Shanghai Lab Setup

Connected Research & Sustainability > Architecturally Significant Requirements - Architecture Proposal - SMART Lab > Captura de pantalla 2025-11-10 165505.png

High Level Design (LabPC - application context)

High Level Design (application and OT-IT network architecture: IEC 62443 - zones & conduits)

High Level Design (application, OT/IT + workflow context)

Connected Research & Sustainability > Architecturally Significant Requirements - Architecture Proposal - SMART Lab > SMART-Lab-HLD-HLD.drawio.png

References

Functional Requirements

Smart Solution