Industry
Your plant reports OEE every morning. The decision that protected this morning's OEE was made at 03:20 by a shift supervisor with a phone and a spreadsheet.
Manufacturing already measures almost everything. The gap is rarely visibility — it is the distance between noticing a deviation and doing something about it while it still matters.
Data domains
Production
Output, cycle times, downtime reasons, changeovers and schedule adherence per line and shift.
MES · SCADA · process historian · ERP production orders
Assets and maintenance
Asset hierarchy, condition, maintenance history, spare parts and planned intervention windows.
CMMS / EAM · IoT condition monitoring · vibration and thermal sensors
Quality
Inspection results, deviation records, scrap and rework, complaints and batch genealogy.
LIMS · quality management system · inline inspection · customer complaints
Supply chain
Inbound materials, supplier performance, inventory positions, logistics and delivery commitments.
ERP · supplier portals · transport management · warehouse systems
Product and engineering
Specifications, bills of material, engineering changes, drawings and process documentation.
PLM / PDM · CAD repositories · document management
Sales and customers
Orders, delivery promises, customer priority and the commercial consequence of missing them.
CRM · ERP sales orders · customer portals
Finance and costing
Standard and actual cost, margin per product, energy cost and the value of an hour of downtime.
ERP finance · energy management · cost accounting
Source systems
What the analytics estate usually looks like
Typical data flow
Real-time operational twin
For operations that move in minutes, not months. Machine and process data becomes a live picture of the operation that people and AI can both reason about.
Flagship experience
One place where a production deviation is detected, explained, costed and resolved — instead of three systems and a phone call.
Application opportunities
One place where a production deviation is detected, explained, costed and resolved — instead of three systems and a phone call.
Decision
Given this deviation, what is most likely causing it and what is the least costly intervention right now?
Bring process conditions, material batches and inspection results together so root cause analysis takes hours rather than weeks.
Decision
What process or material conditions are associated with this quality deviation?
Rank maintenance work by what it protects — production commitments, safety and cost — rather than by when the ticket was raised.
Decision
Of everything we could do in the next maintenance window, what should we actually do?
Show which inbound disruptions actually threaten a customer commitment, and what the realistic alternatives cost.
Decision
Which supply disruptions matter this week, and what is the least damaging response?
Let engineers ask questions of specifications, change history and past deviations in language, with citations back to the source document.
Decision
What do we already know about this product, process or change before we decide again?
Impact, readiness and speed are editorial judgement offered to help prioritise a conversation. They are not research statistics and they are not market data.
Illustrative demonstration. Northstar Industrial, its plants and all data shown are fictional. The generated assessment is deterministic and requires no AI service.