Graphon for Logistics and Mobility · Search traces, imagery and documents together

Hull · 754 ft measured

LIVE

Asked

Did anything in the channel last night not match what it claimed to be?

Graphon

Reading9,400AIS traces1,200registry entries40berthsOne vessel. It stopped reporting at 19:51 and came back 41 minutes later, 11.2 nautical miles from where its last course and speed put it¹². The registry entry it was broadcasting declares a 300 foot coaster³. The hull in the imagery measures 754 feet⁴. The identity does not match the vessel.

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.

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 voyage. One indexed the paperwork. The other read the position trace and the imagery as well, and joined them to the registry. 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.

Did anything in the channel last night not match what it claimed to be?

I can't answer that. I have the bill of lading and the schedule. Position traces are time series rather than text and aren't indexed, and neither is the imagery, so I can't compare what a vessel claims to be against what it looks like.

Graphon

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

Did anything in the channel last night not match what it claimed to be?

One vessel. It stopped reporting at 19:51 and came back 41 minutes later, 11.2 nautical miles from where its last course and speed put it¹². The registry entry it was broadcasting declares a 300 foot coaster³. The hull in the imagery measures 754 feet⁴. The identity does not match the vessel.

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 and VP of Data and Analytics, Head of AI
Enterprise Architect, VP AI Applications
Chief Digital Officer, VP Digital Transformation

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

A vessel goes dark for forty-one minutes. Your systems record a gap.

Graphon automatically builds and maintainsa large-scale ontology.

Ask both the same thing

Two assistants, one question

Bring the question that keeps failing

Graphon automatically builds and maintains
a large-scale ontology.