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

Document categorization

Abstractive Summarization

Table information extraction

Table and text linking

Causal relations

Compositionality

Domain specific training

Self-evaluation