SIE for Industrial software teams
The alert is easy. Reconstructing what failed is the hard part.
SIE gives teams building industrial software one API to read manuals, search maintenance records, extract equipment details and connect sensor events to cited evidence.
Self-host SIE in your infrastructure, or ask about managed deployment through SIE Cloud.
Manuals, inspection records, sensor values and a public incident report
Each temperature, location and elapsed time remains tied to the report passage.
The operational problem
The model call is only one part of the job.
Equipment data is split between sensor streams, manuals and free-text work orders. The records use local shorthand and rarely describe the same fault in the same way.
01
Maintenance history is hard to search
Technicians use abbreviations, misspellings and plant-specific language in short notes.
02
Signals lack operating context
A temperature or vibration alert means little without the asset, threshold and recent work.
03
Manuals and work orders disagree
The expected procedure and the recorded action often live in separate systems.
04
Investigations need a timeline
Teams must show which event happened first and where each fact came from.
How SIE helps
Bring manuals, logs and sensor events into one agent
SIE handles document conversion, search, reranking and entity extraction behind one API. Your maintenance product decides when to alert, escalate or ask for review.
Asset, symptom, related history, operating value and source-linked timeline.
Where it fits
Use SIE inside the product your team is already building.
Maintenance triage
Connect an alert with the right manual and recent service history.
Work-order search
Find similar faults despite shorthand and inconsistent descriptions.
Document extraction
Turn manuals, quality reports and safety records into usable fields.
Incident review
Reconstruct a timeline from readings, notes and investigation documents.
Representative task benchmark · Detect
Price, quality and speed for inspection records
One measured model job from this workflow. These figures come from SIE task evaluations, not from the industry example on this page.
300 crowded photos; 17,222 objects across four public benchmarks. Correct label and at least 50% box overlap; macro-average F1.
Recorded example
The agent reconstructs the detector and alert sequence
The existing example follows temperature readings and operational events from a public rail incident record.
The workflow converts the source material and keeps page context.
Search and reranking bring related passages together before extraction.
The output cites the values and preserves their order.
Deployment
Run SIE where your data can go.
The workflow uses the same SIE API whether you choose managed infrastructure or run it under your control.
Use SIE Cloud
Let the SIE team operate model serving, scaling and updates. Talk to us about availability and the right setup for your workload.
Get startedRun SIE in your infrastructure
Keep models and data inside your environment. Your team controls hardware, networking, access and deployment policy.
View the deployment guide