Software Series · Cell Full Lifecycle Management Platform

Donor to patient,and patient back to donor.

A cell therapy is traceable or it is not approvable. The platform records the whole lifecycle, from the consent form at collection to the follow-up after treatment, on a data model CellAuto owns, and it runs on the same line as the equipment it controls.

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Platform advantages

01

Full-scenario coverage

Research, production and clinical use, across biological products, radiopharmaceuticals and related fields, rather than one stage of the chain.

02

Flexible deployment

Independent modules, integrated system deployment, or software and hardware delivered together as one platform.

03

Customised one-stop service

Function configuration and process reconstruction to match how your business actually runs, not how a generic system assumes it runs.

04

Industrial digital upgrade

Full-lifecycle digital traceability for pharmaceutical products, which is what makes standardised and inspectable operation possible at industry scale.

Platform overview

Three things the platform doesthat a spreadsheet cannot.

The platform exists because cell manufacturing generates a record that has to survive inspection years later, and because the people who need that record are not in the same room as the machine.

Pillar 01

Manufacturing

Automated, intelligent, digital and compliant management across the pharmaceutical lifecycle, covering product research and development, process development and optimisation, planning and scheduling, manufacturing operations, warehousing, quality management and equipment maintenance.

Pillar 02

Traceability

A proprietary cell traceability architecture and full-lifecycle data model give complete traceability from donor to patient, and in reverse from patient back to donor, which is the requirement a cell product cannot be approved without.

Pillar 03

Artificial intelligence

AI optimises process design and manufacturing control, and supports equipment monitoring, predictive maintenance and real-time trend analysis, so process improvement is continuous rather than retrospective.

Designed against published guidance: the MIIT Guidelines for Typical Intelligent Manufacturing Scenarios of Pharmaceutical Enterprises (2022), the NMPA GMP Guidelines for Cell Therapy Products (Trial), and the FDA discussion paper on Artificial Intelligence in Drug Manufacturing.

Application scenarios

01

Sample collection

Electronic informed consent, donor registration, unique sample identification and coding, full sample information recording and standardised collection documentation.

02

Transportation

Transport planning, automatic shipment records, real-time tracking, continuous monitoring of conditions inside the container, and automatic receipt confirmation and archiving. The same applies on the return leg to the clinic.

03

Manufacturing

Standardised sample receipt verification, intelligent production scheduling, comprehensive electronic batch records, closed-loop quality management and standardised cryopreservation and inventory.

04

Clinical application

Patient health records, standardised treatment documentation, structured follow-up, adverse event monitoring, and automatic generation of the clinical application summary.

Core capabilities

Integrated hardware and softwareConnects directly to the automated production lines, so the record and the machine are not two separate systems to reconcile
End-to-end process visualisationReal-time view of research and manufacturing, with one interface for monitoring, oversight and traceability
Comprehensive quality managementQuality control checkpoints embedded throughout, with closed-loop management of deviations
Remote audit and inspectionBuilt-in remote inspection, supporting secure online audits and real-time regulatory supervision
Robust data securityAudit trails, electronic signatures, encryption and controlled data migration, protecting integrity and preventing unauthorised modification
End-to-end traceabilityAcross R&D, manufacturing, clinical application and the supply chain, capturing the six quality elements: man, machine, material, method, measurement and environment
Regulatory complianceNMPA, FDA 21 CFR Part 11, GMP, GAMP, and the ALCOA+CCEA data integrity principles
AI-driven manufacturingArtificial intelligence applied across all six quality elements for process optimisation, predictive analytics and automated decision support

Compliance references are the standards the platform is designed against. Validation for a specific product, site and jurisdiction is carried out as part of the project.

Five software series,one platform.

R&DR&D Software SeriesDigital laboratory management, cross-team collaboration and compliance assurance across the research phase.
ProductionProduction Software SeriesBuilt on a comprehensive cell quality control strategy, covering both manual and automated preparation workflows.
Quality inspectionQuality Inspection Software SeriesImproves inspection efficiency and delivers stable, reliable product quality assurance.
ResourcesResource Management Software SeriesDigitalised management of the six core production elements: man, machine, material, method, environment and measurement.
Quality managementQuality Management Software SeriesGuarantees GMP compliance in production and supports bidirectional full-lifecycle traceability of cell therapy products.

The modules

Five series,thirteen named systems.

The platform is not one monolithic application. Each series is a set of systems that can be deployed on its own or together, which is what makes it possible to start with the part of the process that hurts most.

R&D
iTrustTrackingTrusted R&D project management system
Production
MESCell production execution system
Production dashboardDigital production management dashboard
Quality inspection
LIMSNext-generation laboratory information management system
CQRSCell quality enquiry system
Inspection dashboardDigital quality inspection management dashboard
Resource management
BioBankBiological sample library management system
WMSMaterials management system
HMSPersonnel management system
SCADAData acquisition and supervisory control system
Warehouse dashboardDigital warehousing dashboard
Environment dashboardDigital environmental monitoring dashboard
Quality management
CTSCell traceability system

Module names are CellAuto’s own. Which of them a project needs depends on the process, the facility and the regulatory route, and is agreed during planning.

See it runningagainst your own process.

The platform is configured to the workflow you already have rather than the other way round. Tell us the process and we will show you what the record looks like at the end of it.

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