AI & Data Services

Training data, annotation, model evaluation, and speech benchmarking across all 24 Afghan languages, Pashto and Dari first. Built for laboratories and platforms that need dialect-aware coverage and want error reported by dialect band rather than averaged away.

What sits under this practice

• Model Validation & Red-Teaming— NIST AI RMF, multilingual evaluations, low-resource model assurance.
• Cultural Hallucination Audits— CCB-validated defect detection for regional and religious sensitivities.
• AI Data Factory & RLHF Pipelines— Human-in-the-loop annotation and dialect-aware reference sets.
• Speech & Voice AI— ASR/TTS word-error-rate benchmarking and dialect-parity indices.
• Trust, Safety & Content Integrity— DSA Article 34/35, UK Online Safety Act, and OWASP LLM Top 10 compliance mapping.
• AI Governance & Compliance Advisory— ISO/IEC 42001, ISO/IEC 23894, audit-ready model governance.