AI Launch Profile
Evaluation Cards
The EvalEval Coalition beta-launched Evaluation Cards, an open-source interpretive layer for AI evaluation results that surfaces reproducibility, completeness, provenance, and comparability signals.
At a glance
Launch Snapshot
- Company
- EvalEval Coalition
- Launch date
- June 11, 2026
- Launch type
- Not classified
- Category
- Not classified
- Audience
- AI evaluation researchers, model developers, governance teams, benchmark maintainers, and readers who need better context for interpreting reported model and benchmark results.
- Pricing
- Not publicly confirmed
- Free plan
- Not publicly confirmed
- API
- Not publicly confirmed
- Open weights/source
- Not publicly confirmed
Launch Context
Use these links to move from this record into the broader Launch Intelligence database.
Verification & Sources
- Status
- Verified
- Source links
- 4
- Freshness
- Verified July 9, 2026
- Last verified
- July 9, 2026
- Last updated
- July 9, 2026
Suggest a correction
Kingy Launch Score
7.4 / 10 · Solid
One earned credibility score, computed from cited evidence — not a placeholder. How the Kingy Launch Score works
Why this score
- Source & verification 8.0/10 — The official launch article, live app, coalition site, and public repository — four dated sources. huggingface.co
- Product evidence 8.0/10 — A live application plus an open-source repository — directly inspectable. evalcards.evalevalai.com
- Significance & novelty 7.0/10 — An interpretive layer surfacing reproducibility, provenance, and comparability for AI evaluation results — genuinely novel governance tooling. huggingface.co
- Traction signals not scored — insufficient sourced evidence
- Offer clarity 6.0/10 — An open-source beta; the record documents no commercial terms. github.com
Evidence checked 2026-07-10
Kingy AI Take
The EvalEval Coalition beta-launched Evaluation Cards, an open-source layer that connects AI evaluation results to reproducibility, provenance, completeness, and comparability signals, with a live app and public repository (evalcards.evalevalai.com). AI Evaluation Researchers, Governance Teams, and Benchmark Maintainers get investigative context for reported results. Coverage depends on upstream reporting quality, so treat the cards as aids rather than definitive model rankings.
Who it is for
AI evaluation researchers, model developers, governance teams, benchmark maintainers, and readers who need better context for interpreting reported model and benchmark results.
Source-backed record