Storyroom
Worked as an embedded Halo AI engineer building the core algorithms behind the platform, including a semantic knowledge graph spanning over 10 million topics and a keyword-extraction engine.
Key Results
Topics in the semantic knowledge graph
Algorithms built as embedded AI engineer
The Challenge
Storyroom needed genuinely intelligent algorithms at its core — the kind that can connect millions of topics and extract meaning from text reliably. Building that requires deep NLP and machine-learning expertise embedded alongside the product team.
The Solution
Working as a Halo AI engineer embedded with the team, we built the core algorithms behind the platform.
Semantic Knowledge Graph
Designed and built a knowledge graph spanning over 10 million topics to power the platform.
Keyword-Extraction Engine
Built using classical machine learning and NLP techniques.
The Impact
Tangible Outcomes
Built a semantic knowledge graph spanning 10M+ topics
Developed a keyword-extraction engine using classical ML and NLP
Delivered the core algorithms at the heart of the platform
Key Takeaway
Embedded as part of the Halo team to build the foundational NLP and knowledge-graph algorithms that the entire platform is built around.
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