The OntologyLayer
Before you can automate a business, you have to understand it. Before you can understand it, you have to name its parts. A short film on the knowledge layer every agent stands on — and the harness that grounds it.
Start the filmEnglish cut · 4:28 · captions available
What the film explains
From the words a company already uses to the harness that lets an agent act on them.
A glossary of the operation
The company’s own jargon, plus how its nouns and verbs connect into sentences a machine can check.
Many words, one concept
Brigada, cuadrilla, crew: whoever says either word lands on the same thing.
Things connect
The crew rides the truck from the warehouse to the customer’s house, and the edge itself carries data: the transit time.
Not every sentence is worth the same
A status change is noise; a signed sale moves the business. The layer learns which sentences matter.
Ambiguity, resolved
When someone asks for the aging report, the agent should know which one they mean, and where it lives.
The model is one component
Everything else ties it to reality: who is asking, the tools, the queues, the rules, the warehouse. One harness, many uniforms.
A table of contents for the warehouse
Meaning becomes distance, across text, images and documents.
What the layer looks like in practice
Inside one operating company, anonymized. Snapshots from July to October 2026.
elements in the verified catalog: 80 nouns, 96 verbs, 81 relationships
invented claims when a blind auditor re-ran all 266
names people use, collapsed into concepts
characters: the pocket map every agent carries (it was ~32,900)
of 90,494 conversations carry an ontology sentence, for ≈ $8.50 in total
dimensions in the vector space the agents search
Every company has a knowledge layer. Most just can’t see it yet.
Embark makes it visible: an agentic system that reads a company’s raw data and produces its operational map.