Dozer · past service date
LIVE
Asked
Which machines are working past their service date?
Graphon
Reading96,000hours of site footage210,000work orders6.2 MentitiesNine of forty-two, and here they are: EX-114, DZ-207, LD-088, DT-320, GR-041, EX-102, DZ-119, LD-076 and CR-0143. The worst is this excavator, EX-114, at 410 hours past its service1. The dozer working beside it is DZ-207, 260 past2. All nine are in the shift log, out and working4. Nobody flagged any of it.

The answer is in the work orders and the site footage, not in either alone.

Graphon automatically builds and maintains
a large-scale ontology.

(graphons: a mathematical framework for analyzing large graphs, providing us with better recall and precision)

Graphon reads video, images, audio and documents, and goes into the content itself rather than the labels wrapped around it. It builds the ontology as it reads, roughly ten times deeper than anyone would model by hand.

So you are not held to broad entities like “a bottling line.” You can ask for amber 750 ml bottles with a tamper band, a lot code printed low on the shoulder and no allergen panel, and see where each result came from.

It rests on graphons, a mathematical framework for very large graphs. The founders developed the underlying work during their PhDs at Penn’s GRASP Lab.

You can drag the slider to see how it compares.

VideoImagesDocumentsTextStructuredPersonOrganizationLocationEventEquipmentPartEngine assemblyFitting the bracketSupplier of recordIdler bracketCowl fastener x38Cast mark HS-4820Part 11-4820-CTorque 48 NmMounting faceHeat lot 2247Mill certShipped 14 MarTier 3 · Halden SteelNot in any BOMDocumentsTextStructuredPersonOrganizationLocationEventontology stops herenot deep enough for agentic questions
Your graph doesn’t go deep.

It misses all the nuance, and no matter what you do it never quite works. More data only adds surface to guess from, and another ontology to model by hand.

Without Graphon3 sources · 4 entity types · stops at the entity
With Graphon5 sources · 6 entity types · 10 to 100 levels below

Ask both the same thing

One of them has read the footage. The other has read the filenames.

Two assistants, one question

Both were pointed at the same fleet history. One indexed the work orders. The other read the site footage and the manual diagrams as well, and joined them to the machines on the bench. The difference is not fluency. It is whether the answer can point at anything.

RAG · GraphRAG · vector search

Reads the text it managed to parse. Nothing to cite, because nothing was indexed.

Which machines are working past their service date?
I can't answer that. I have the work orders, but the site footage isn't indexed and the manual pages that matter here are diagrams, which come through as almost no text.
Graphon

Goes deep across video, images and documents, and returns a citation for every claim.

Which machines are working past their service date?
Nine of forty-two, and here they are: EX-114, DZ-207, LD-088, DT-320, GR-041, EX-102, DZ-119, LD-076 and CR-0143. The worst is this excavator, EX-114, at 410 hours past its service1. The dozer working beside it is DZ-207, 260 past2. All nine are in the shift log, out and working4. Nobody flagged any of it.

Bring the question that keeps failing

Tell us what you have and the question your search keeps failing. Nothing to upload yet.

If it is a fit we will come back and say exactly what to send, then answer your question live with every claim cited.

  • Indexed in hours, not months
  • Every answer cited
  • Video, images and documents

Who usually joins

  • Director and VP of Operations, COO
  • Director of Product Engineering, Chief Engineer, Head of PLM
  • Director and VP of Data Engineering, Enterprise Architect
  • Chief Digital Officer, VP Software Engineering

Roughly what it costs you today. A range is fine.

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