Project AURIONAI Use-Cases Research & Innovation
Contextual AI

Contextual AI

Organisation. 1 model in the directory.

0deployments

Identity

Type
not in the notes
Country label
not in the notes
HQ country
not in the notes
Founding country
not in the notes
Parent
not in the notes
Parent country
not in the notes
Country basis
not in the notes
Where this comes from
Convention D1: a dual label, HQ first, when the HQ, founding or parent country differ.

Models by Class

Models

ModelClassOpennessParametersReleased
Stanford Universitys1Stanford University, University of Washington, Allen AI, Contextual AIreasoningunknown–Jan 2025

Scores

BenchmarkModelScoreWho ran itSetting
AIME24s156.7 %vendor-reportedafter SFT on 1,000 examples (base 26.7)
Where this comes from
Every recorded score of this organisation's models, with who ran it. Scores from different settings are not directly comparable.

Sources

  1. s1: Simple test-time scaling arxiv.org https://arxiv.org/html/2501.19393v1

To cite this page: Project AURION, AI Use-Cases Research & Innovation, "Contextual AI", https://aurion.semai.id/organisations/contextual-ai/, records of October 2026.