THE IRIS.AI TECHNOLOGY

Iris.ai has spent the last 5 years building an award-winning AI engine for scientific text understanding. Our algorithms for text similarity, tabular data extraction, domain-specific entity representation learning and entity disambiguation and linking measure up to the best in the world. On top of that our machine builds a comprehensive knowledge graph containing all entities and their linkages to allow humans to learn from it, use it and also give feedback to the system. Applying these on scientific and technical text is a complicated challenge few others can achieve.

Text similarity metrics
Text similarity metrics
Document categorization
Document categorization
Abstractive Summarization
Abstractive Summarization
Table information extraction
Table information extraction
Table and text linking
Table and text linking
Causal relations
Causal relations
Compositionality
Compositionality
Domain specific training
Domain specific training
Self-evaluation
Self-evaluation

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