Identity
- Type
- company
- Country label
- USA
- HQ country
- USA
- Founding country
- not in the notes
- Parent
- not in the notes
- Parent country
- not in the notes
- Country basis
- the research notes
Where this comes from
Convention D1: a dual label, HQ first, when the HQ, founding or parent country differ.
Models by Class
Models
Links
Organisation
Datadogcompany, USA
Datadogcompany, USAModelsToto 2.0Datadog, time seriesToto 2.0 1BDatadog, time seriesToto 2.0 2.5BDatadog, time seriesToto 2.0 22MDatadog, time series+3 more
Toto 2.0Datadog, time seriesToto 2.0 1BDatadog, time seriesToto 2.0 2.5BDatadog, time seriesToto 2.0 22MDatadog, time series+3 moreUse Casesnone recorded
Who Runs Itnone recorded
Scores
| Benchmark | Model | Score | Who ran it | Setting |
|---|---|---|---|---|
| GIFT-Eval | Toto 2.0 1B | 21.1 mean CRPS rank | vendor-reported | zero-shot foundation-model CRPS rank, lower is better |
| GIFT-Eval | Toto 2.0 2.5B | 0.476 CRPS (geo-mean, normalised to Seasonal Naive) | independent | pretrained; rank is average CRPS rank |
| GIFT-Eval | Toto 2.0 2.5B | 0.696 MASE (geo-mean, normalised to Seasonal Naive) | independent | pretrained |
| GIFT-Eval | Toto 2.0 2.5B | 20.3 mean CRPS rank | vendor-reported | zero-shot foundation-model CRPS rank, lower is better |
| GIFT-Eval | Toto 2.0 313M | 21.4 mean CRPS rank | vendor-reported | zero-shot foundation-model CRPS rank, lower is better |
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
- arxiv.org/pdf/2605.20119 https://arxiv.org/pdf/2605.20119
To cite this page: Project AURION, AI Use-Cases Research & Innovation, "Datadog", https://aurion.semai.id/organisations/datadog/, records of October 2026.