Graphon for CPG and Food Manufacturing · Search line footage, artwork and batch records

Blank containers · no print

LIVE

Asked

Why did these bottles go out with no label at all?

Graphon

Reading640,000line-camera clips12plants8.4 MentitiesBecause the artwork never reached the line. Camera 4 shows cans coming off the filler with nothing printed on them¹, and the same week the second plant was running bottles the same way². The new label was approved on 3 March and never sent to either plant³, so the labeller had nothing to apply. 2,880 cases shipped blank, across three regions⁴.

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 plant data. One indexed the text it could parse out of the documents. The other read the line footage and the photographs as well, and joined them to the artwork record. 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.

Why did these bottles go out with no label at all?

I can't answer that. I found a label approval and a shipping manifest, but the line footage and plant imagery aren't in the index, so there's nothing connecting them.

Graphon

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

Why did these bottles go out with no label at all?

Because the artwork never reached the line. Camera 4 shows cans coming off the filler with nothing printed on them¹, and the same week the second plant was running bottles the same way². The new label was approved on 3 March and never sent to either plant³, so the labeller had nothing to apply. 2,880 cases shipped blank, across three regions⁴.

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, VP Engineering, Chief Engineer
Director and VP of Data and Analytics, Head of AI
Enterprise Architect, VP Data Engineering, CDO

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Your data, and the question*

What would solving this be worth, a year?*

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

Your line cameras see every container. Your search sees none of them.

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.