Workflows depend on offline coordination
Tasks, samples, scheduling, execution and review are spread across offline spreadsheets and individuals.
Industry solution · Laboratory & R&D Digitalization
Connecting samples, equipment and tests
into a complete R&D data chain
Covering samples, equipment, test tasks, data acquisition, result analysis and report output, supporting laboratory collaboration, quality control and result traceability.
Scenario ArchitectureIndustry solution
Managed objectsSamples & tasksLab equipmentMethods & standards
Solution coreExperiment workflowPlanning & executionData acquisitionResult review
Business resultsTrusted reportsTraceable processCollaborative R&D
Typical challenges
Test data keeps accumulating,
yet the R&D chain stays fragmented.
For battery, materials, energy and other R&D and testing operations that need to unify workflows, equipment data and result management.
Equipment data doesn't connect
Inconsistent interfaces and output formats mean test data is compiled and re-entered by hand.
Traceability is expensive
Samples, methods, equipment, environment, raw data and reports lack complete linkage.
Solution architecture
From business objects to underlying data,
a complete operating chain.
Real projects combine these layers according to existing systems, data conditions and delivery boundaries — replacing your current platform in one step is never required.
Business object layer
Unified management of projects, tasks, samples, equipment, personnel, methods and standards.
Experiment execution layer
Covers planning, scheduling, sample checkout, testing, retesting, review and exception handling.
Data and results layer
Ingests equipment data and manages raw records, computed results, charts and reports.
Management analytics layer
Supports analysis of progress, equipment utilization, quality, efficiency and R&D outcomes.
Key capabilities
Built around the core business chain,
as composable solution capabilities.
Functionality, data, interfaces and processes are designed around the target scenario and connect to your existing technical environment.
Experiment workflow management
Turns test planning, execution, review and exception handling into trackable processes.
Equipment and sample management
Maintains equipment status, calibration and sample movement, and their relationship to test tasks.
Data acquisition and analysis
Connects lab equipment and stores raw data, computation and analysis results together.
Reporting and end-to-end traceability
Trace back from a report conclusion to the task, sample, method, equipment and raw records.
Management outcomes
More than delivering a system —
improving how work actually runs.
Outcome metrics are defined further against your business goals; this page shows the management changes the solution typically aims for.
Stronger lab collaboration
Personnel, tasks, samples and equipment work within a single process.
Less manual compilation
Equipment data and results link automatically, cutting re-entry and conversion work.
Stronger quality traceability
Key steps, changes, reviews and result provenance retain complete records.
Accumulated R&D assets
Methods, data, reports and experience become durable digital assets.
Project consultation
Clarify the business problem first,
then decide how the system should be built.
Tell us the business problem to solve, your existing systems and the outcome you expect — we usually reply within 1 business day.