SENXOS / MANUFACTURING
Connect engineering documents, inspection records, and review workflows so quality, engineering, and production teams can track evidence and progress around their operating needs.
AI-generated manufacturing imagery, not a client factory or equipment photograph.
Bring inspection results, exception descriptions, and documents into a consistent workflow. Clarify ownership, arrange review, and track closure, with human confirmation for important decisions.
Acceptance: assignment, review status, and complete records. Assess image recognition separately on real samples.
Organize specification, work-instruction, and inspection-document versions so people can find the relevant source and spend less time resolving conflicting information.
Acceptance: source references, version identification, retrieval evidence, and access rights.
Assess integration against the interface conditions of existing ERP, MES, and WMS systems. Connect quality information to related workflows and retain synchronization and exception records.
Acceptance: mappings, consistent states, failure handling, and duplicate-write protection.
Map documents, inspection fields, versions, and interfaces.
Models may assist reading and classification; retain source references.
Use specifications, permissions, and human checks for uncertainty.
Synchronize after confirmation and retain processing records.
Software and workflow integration only. No equipment safety certification, direct machine control, or replacement of on-site safety procedures.
Switch scenarios to see alerts for out-of-range dimensions or missing specifications. Predefined sample data, not a live line. No AI, equipment, or production-system connections, uploads, or storage.
Outside range. Human review required; no automatic release.
Calculations use integer micrometers, displayed in millimeters. Only range and version presence are checked, not gauges, document authenticity, or quality standards.
Align expectations through prototypes, staged delivery, test records, and operating guides, keeping progress visible and future maintenance practical.
Requirements, process maps, data and access boundaries, key prototypes, and acceptance criteria.
A working system, interface documentation, integration tests, and exception scenarios.
Deployment and operating guides, maintenance responsibilities, and next steps. Agree source-code delivery and usage rights before engagement.
These are planning and acceptance considerations. Project scope is defined after discovery.
Data, security, and deployment belong in project design. These are discovery topics, not certifications or compliance guarantees.
Identify data sent to external models, de-identification needs, and provider data-use terms.
Assess cloud or private deployment requirements; define roles, tool access, and sensitive-action approvals.
Agree required activity and error records, who can access them, retention periods, and deletion responsibilities.
Share only the problem and process overview. Do not submit passwords, API keys, personal customer data, or production records.
First assess interfaces, authorization, safety and test conditions. Current website demos do not control equipment.
Do not guess the specification. Obtain the missing basis before evaluation and follow the site’s quality-confirmation procedures.
Assess permissions and system limits. Supported exports, imports or batch files may be options; real-time connectivity is not assumed.
Prototypes and representative data help agree assumptions, usable results and scope before committing to the next stage.
Share your goals, current workflow, and what needs to improve. We help clarify requirements, assess feasibility, and plan a suitable development approach.