Othelia Technologies careers
We’re building a semantic data operating system for creative IP. At its core is a hybrid symbolic-neural engine that maps relationships between narrative entities (characters, beats, timelines, rules) into a structured knowledge graph. Using LLM function-calling, graph embeddings, and domain-specific validators, we translate unstructured creative content into structured, queryable data that powers intelligent workflows across story development, production, and marketing.
It’s a hard, multi-domain problem: combining narrative theory, language modeling, and graph databases at scale. Our goal is to make story logic machine-readable — turning fragmented creative workflows into adaptive systems for the world’s largest studios and franchises.
It’s a hard, multi-domain problem: combining narrative theory, language modeling, and graph databases at scale. Our goal is to make story logic machine-readable — turning fragmented creative workflows into adaptive systems for the world’s largest studios and franchises.
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Alexandra Hooven
Valuation
$30M
Funded over
1 round
Latest round
Seed (Oct 2025)
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