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Training data and labelling

The Index · September 2026 editionThe companies that produce, label and license the data models are trained on.
Revised edition. First published 2026-09-27; revised as follows:
  • 2026-09-28 The Open models table was withdrawn: its dataset contained unsourced and implausible entries and omitted models released in 2026. It will return after a sourced rebuild.
  • 2026-09-28 The Frontier labs, Semiconductors and Cloud tables were withdrawn after a review found errors in their data introduced by an automated research process (inflated assessment scores; quarterly revenue recorded as annual; a unit error in data-centre capacity). They will return after the data is restored from sourced values.
How to cite

Cognitive Coefficient Institute (2026). The Cognitive Coefficient Index, September 2026 edition: Training data and labelling. https://alpha.cognitivecoefficient.com/index/editions/2026-09/training-data. Licensed CC BY 4.0.

#NameSegmentSCX · Stack Capacity IndexAIX · AI exposure
01MercorExpert data & RLHF86.195.0
02Scale AIExpert data & RLHF75.295.0
03Surge AIExpert data & RLHF74.3100.0
04Handshake (AI)Expert data & RLHF69.575.0
05Snorkel AIEvals & RL environments54.595.0
06micro1Expert data & RLHF53.8100.0
07InnodataCrowd & annotation services42.285.0
08Invisible TechnologiesExpert data & RLHF41.290.0
09AppenCrowd & annotation services35.790.0
10LabelboxLabelling platforms32.995.0
Stack Capacity Index: components and weights in this edition
  • AI data revenue31%
  • Valuation15%
  • Expert network8%
  • AI exposure (estimate)18%
  • Position (estimate)18%
  • Momentum (estimate)9%

Licensed CC BY 4.0: reuse freely, credit “Cognitive Coefficient Institute”. Scores are model outputs, not predictions. Terms.