AI & Data Intelligence
AI engineering for real-world operations—not demos
Production-Grade AI Systems (Model + Data + Ops)
Sintesa builds AI that holds up in production—where data is imperfect, change is constant, and outcomes must be measurable. We engineer the full delivery chain: data preparation, model development, evaluation, deployment, monitoring, and integration into day-to-day workflows (planning, maintenance, field operations, and decision support).
Key Technologies
Typical Use Cases
- ●Predictive maintenance and remaining useful life estimation
- ●Anomaly detection on sensor or operational signals
- ●Quality inspection support (vision-enabled workflows)
- ●Forecasting for demand, throughput, and capacity planning
- ●Operational performance analytics and early-warning indicators
- ●Optimization scenarios for scheduling and resource allocation
- ●Search, summarization, and Q&A over internal documents
- ●Assistance for SOPs, approvals, and operational playbooks
- ●Decision support grounded in enterprise data and policies
Related Case Studies
Applied AI systems delivered for real operational use
Market Survey Management System
Survey management platform to coordinate retail-market surveyors across Indonesia and deliver validated data to clients, with location-based features such as absence, geo-location, and surveyor trails.
Predictive Maintenance AI
Machine learning system predicting equipment failures 72 hours in advance across multiple production facilities.
Gema AI Vision inspection UI for line operations
An AI vision quality inspection system, used by plant supervisors to monitor station results, review NG evidence, and export shift-level summaries.
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