Governed multilingual data, independent model validation, and cultural-integrity assurance for teams building and deploying AI in Afghan languages and contexts. Seven capabilities, one accountable standard.
Seven capabilities, held to one accountable standard, across the teams that build, evaluate, and deploy AI in Afghan languages.
Governed, dialect-aware Afghan-language data for training, fine-tuning, RLHF, and evaluation — with auditable provenance and ethical labor.
Find out more →Independent validation and red-teaming of AI systems across 24 Afghan languages — because fluency is not accuracy.
Find out more →Detection of the cultural and religious defects in AI output that accuracy checks and safety filters never catch.
Find out more →Audit-ready AI governance aligned to ISO 42001 and the NIST AI RMF — covering the multilingual risk most programs never measure.
Find out more →Independent ASR and TTS benchmarking across 24 Afghan languages and dialects — native-validated, broken out, not averaged.
Find out more →Native-grade trust, safety, and content integrity across 24 Afghan languages — detection, classifier evaluation, and DSA systemic-risk assessment.
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