Connected machines
Connect equipment status, alarms and maintenance records while preserving existing PLCs, HMIs and safety systems. Give service engineers evidence from the field before they plan remote diagnosis and action.
AI SYSTEMS FOR MANUFACTURERS
Turn industrial datainto decisionsand action.
We build AI software for equipment service and manufacturing analytics.
Connect machine data, production records and business systems. Give your teams traceable evidence to diagnose faults, investigate quality issues and decide what to do next.
About Seleta
Built close to the work.
Designed for real decisions.
Turn time-consuming work
into everyday AI workflows.
Based in Shanghai, Seleta focuses on industrial digitalization and trusted manufacturing analytics. We work inside real operations, connecting existing machines, software and business documents. Scattered data becomes verifiable evidence, helping service, quality, production and management teams make decisions together and improve over time.
Shanghai · Yuanli Community, Xuhui
What we build
Start with one operational task.
Connect data and action on existing systems.
Equipment software & service · Core focus
Evidence to decisions
Turn paper production records, Excel and MES/ERP data into traceable evidence. Deterministic calculations produce the numbers; AI explains the results; business teams confirm the next step.
SEO Flow
Connect brand websites, keyword research, AI content, human review and publishing with search, advertising and sales feedback. Make every content investment part of a measurable workflow.
Selected work
From the factory floor to manufacturing analytics.
Every step has a defined scope of validation.
Keep the controls. Connect the field.
Equipment data was confined to PLCs, HMIs and engineering documents. Remote service teams struggled to collect evidence, while new software had to leave the existing control system undisturbed.
Progress so far
Completed read-only validation on a reference machine, bringing live controller data into an on-site web interface. The trial did not modify PLC programs, write to the controller or trigger machine movements.
Delivery approach & next steps
Added read-only data acquisition, a local API and a status interface above the existing control layer. Data sources, timestamps and disconnections are made explicit, establishing a foundation for maintenance records and remote service.
Next: validate long-term reliability and the complete service workflow before expanding to more machine types.
One question. A shared body of evidence.
Paper production records, quality data and purchasing spreadsheets were scattered across departments. Inconsistent definitions led to double counting, and key figures could not be traced back to their source files.
Progress so far
Initial capabilities include reports, batch tracing and purchasing price comparisons. When matching samples are missing, the system reports insufficient data rather than presenting possible associations as confirmed causes.
Delivery approach & next steps
Brought OCR records and spreadsheets into a versioned data foundation. Key figures retain file, page and cell references, with defined calculations, batch relationships and approved corrections.
Next: validate consistent results, source traceability and correction workflows against a fixed set of business questions.
Give every publication a next step.
The website, SEO content and traffic data were disconnected. The team struggled to maintain a regular publishing process and decide what to do after each change.
Progress so far
The content production and publishing workflow is live. Search and advertising signals feed a shared analysis process and a queue of page improvements. The team can track publishing progress, page performance and who owns the next action.
Delivery approach & next steps
Improved the website’s technical foundation and mapped keywords to pages. Connected AI drafts, human review, WordPress publishing and analysis of Search Console, GA4 and advertising data.
Next: establish an attribution baseline using sales-qualified inquiries, quotations and closed deals.
How we deliver
From evidence.
To action.
Detect → Gather evidence → Human review → Act → Verify.
Validate one complete workflow, then build for the long term.
01Define the outcome.Discovery & pilot+
Start with a problem worth solving. Record the existing process, sample data and business metrics. Define the pilot scope, users, human handover points and acceptance criteria, then deliver a complete working flow.
02Connect what exists.Integration & deployment+
Connect authorized data from existing PLCs, MES, ERP and Excel. Choose local, on-premises or private-cloud deployment to suit the use case, with access controls, monitoring, rollback and training. People confirm consequential actions.
03Close the loop.Operations & improvement+
Record actions, actual outcomes and rule corrections in the system. Continuously evaluate models and workflows, comparing data preparation time, incident handling and real usage on a consistent basis.
Equipment service, manufacturing analytics, or a business problem worth solving?
Let’s make
it matter.
We work with people who care about what they build,
turning complex problems into a clear next step.