01Knowledge GraphSix enrichment layers transform raw content into an explorable knowledge graph across every source.
02Deep UnderstandingVision models, layout detection, OCR, and audio processing — we understand content the way humans do.
03AgentsTurn recurring questions into autonomous agents that monitor, analyze, and deliver insights on a schedule.
04LearningThe system evolves with your organization — learning from usage patterns and surfacing what matters.

01Assembly · countsThe real export arriving, with its receipts
02Assembly · brought upTen sources bringing the graph up like a print
03Assembly · one seamEight connectors through a single seam
04Assembly · on paperThe light one: ink on paper, builds once
05Assembly · depositsBatches landing, core outward
06home-nextThe candidate front page
07Three lensesBrowse, recall and graph, converging
08ProtostarDust falling in until a core ignites
09The pullTitle, then one large visual
10What we doMess, index, agents, on one line
11Mess to structureMaterial in, index, agents out
12What we doFour routes to one sentence
13MergeSeven sources into one index
14SourcesEarlier ring, kinds as galaxies
15DemoThe query bar bench

Features

01 Knowledge GraphSoon
02 Deep UnderstandingSoon
03 AgentsSoon
04 LearningSoon

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Precognita

Every company has an ontology.Have you seen yours?

Messy information from your connectors, indexed into an ontology your agents can read.Talk to founders

01Messy
Information from every connector you use, in whatever shape it arrived.
02Indexed
Resolved into one ontology: entities, the relations between them, permissions carried.
03Accessible
Your agents read all of it through a single endpoint.

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© 2026 Precognita Ltd.