OVI

OVI — AI-conducted hiring interaction corpus generated as ATS byproduct: asynchronous AI voice interviews (audio recordings plus transcripts plus per-answer scores), CV screening records scored 0-5 against must-have/nice-to-have criteria derived from each job description with a written rationale per requirement, multi-source candidate graphs harmonised from LinkedIn, open-web, uploaded PDFs and ATS history, and end-to-end pipeline outcome data. Distinct from the labour-market vacancy panel cited in the article — this is the candidate-interaction layer, which is far scarcer.. Micro-cap, high l…

OVI offers (Alternative, Sentiment, Fundamental) — Correlated to customer requisition volume rather than user count: every screened CV yields a scored-with-rationale record and every interviewed candidate yields an audio-plus-transcript pair. At a small but growing enterprise-customer base this plausibly means tens of thousands of scored CV evaluations and low thousands of recorded AI interviews to date — small in absolute terms but unusually rich per record..

Interview-coaching and evaluation model training (scored transcripts with rubric rationales), accented-English and Arabic speech recognition across 200+ nationality accents, structured extraction and requirement-matching models from JD-to-CV scoring pairs, hiring-bias and fairness auditing datasets (scores plus written rationale plus outcome, with audit logs of every AI action), recruiter-agent reinforcement learning from human-style rubric judgements, and GCC labour-market velocity metrics such as the 44-day hiring cycle and talent-availability gap.

The data is with 2 years of history.

Coverage spans Other, US; Application Software; alternative, sentiment, fundamental; equities.