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Galtea

@GalteaAI

AI evals for regulated industries. Make AI safe to scale.

Barcelona
galtea.ai?utm_source=x&utm_campaign=companyPage
Joined March 2026
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Galtea (@GalteaAI) profile picture
Galtea
@GalteaAIMay 7
We benchmarked 6 Q&A generation frameworks for AI evals using the same model, calibrated judges, and documents. Link to the benchmarks below 👇
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Image from Galtea (@GalteaAI)
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Galtea (@GalteaAI) profile picture
Galtea
@GalteaAIMay 7
galtea.ai/blog/golden-datase…
Golden datasets for regulated AI: six Q&A frameworks tested | Galtea Blog

Golden datasets for regulated AI: six Q&A frameworks tested | Galtea Blog

We benchmarked six Q&A generation frameworks (DeepEval, Giskard, LangChain, LlamaIndex, RAGAS, Galtea) on the same gpt-4.1 against the same calibrated judges. Confidence scores spread 17.8 points...

galtea.ai
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Galtea
@GalteaAIApr 30
We tested a generic GPT-4.1 LLM judge with a standard faithfulness prompt. 30 examples. 9 hallucinations. Hallucinations caught: 0/9. If your eval pipeline runs this way, it's producing false confidence exactly where confidence is most dangerous. galtea.ai/blog/llm-as-a-judg…
How to optimize your LLM Judge for AI evaluations (And why most teams get it wrong) | Galtea Blog

How to optimize your LLM Judge for AI evaluations (And why most teams get it wrong) | Galtea Blog

Most teams building LLM evaluation pipelines spend a lot of time on the judge itself, which model to use, how to write the rubric, and which dimensions to score. Almost none of that effort goes into...

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