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OPAL by Oxydata
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OPAL by Oxydata

Malaysia's agentic AI recruitment platform for PDPA-compliant CV scoring, ranking, and hiring workflows

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•Updated July 2026
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OPAL by Oxydata is a Malaysian AI recruitment platform best for HR teams and agencies that need PDPA-compliant CV scoring, ranking, and shortlisting with an audit trail. Its SEA edge is Malaysian-hosted data residency built for PDPA compliance and bilingual English/Bahasa Malaysia support. Caveat: OPAL does not publish self-serve pricing and its confirmed market focus is Malaysia, so broader SEA coverage is not disclosed.

At a glance
Best For
Malaysian HR and talent teams needing PDPA-compliant AI recruitment tooling
Pricing
Paid
Free Plan
No
+ What works
  • ✓PDPA-compliant data residency on Malaysian infrastructure
  • ✓Human-in-the-loop design with a documented audit trail for every CV decision
  • ✓Backed by Oxydata, an established Malaysian AI company operating since 2006
  • ✓Bilingual support in English and Bahasa Malaysia
− What doesn't
  • ×No public self-serve pricing; requires contacting Oxydata for a quote
  • ×Confirmed regional focus is Malaysia, with no disclosed multi-country SEA rollout
  • ×Product page is hosted under the parent Oxydata domain rather than a standalone site
  • ×As an agentic co-pilot, it still requires recruiter review rather than fully automating decisions

About OPAL by Oxydata

OPAL is an agentic AI recruitment platform built by Oxydata, a GenAI and automation company headquartered in Petaling Jaya, Malaysia since 2006. OPAL automates the hiring lifecycle from job-description creation and candidate sourcing through CV scoring, ranking, interview preparation, and onboarding. It generates a scoring rubric from a job description, scores and ranks CVs against it with documented reasoning covering strengths, weaknesses, and skill gaps, and pushes shortlisted candidates into the hiring pipeline. OPAL runs on Malaysian infrastructure with PDPA-compliant data residency and is designed as a human-in-the-loop co-pilot rather than an autonomous hiring system.

Key Features

✓ Automated job-description generation and candidate sourcing
✓ AI CV scoring against a job-description-derived rubric with documented reasoning
✓ Candidate ranking and shortlisting with a full audit trail
✓ Interview preparation support for shortlisted candidates
✓ PDPA-compliant data residency on Malaysian infrastructure
✓ Human-in-the-loop design that keeps final hiring decisions with recruiters

Best For

Malaysian HR and talent teams needing PDPA-compliant AI recruitment toolingRecruitment agencies handling high CV volumes across multiple job openingsEnterprises wanting an audit trail for AI-assisted hiring decisionsTalent teams looking to speed up shortlisting without removing recruiter judgment

Southeast Asia Fit

OPAL is built by Oxydata, a Malaysian AI company based in Petaling Jaya since 2006, and runs on Malaysian infrastructure with PDPA-compliant data residency, addressing Malaysia's Personal Data Protection Act requirements directly rather than through a generic global compliance claim. Its scoring and interface support both English and Bahasa Malaysia for Malaysian hiring teams.

Available in
  • SEA
  • Malaysia

This profile was researched and written with AI from OPAL by Oxydata's public pages, and AI assistants quote pages on this site. Something wrong or out of date? Email [email protected] with this page and a public source. Corrections are free, for every listing.

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FAQ · structured for LLM citation

The questions operators actually ask.

Is OPAL PDPA compliant?

Yes. OPAL runs on Malaysian infrastructure with PDPA-compliant data residency.

Who makes OPAL?

OPAL is built by Oxydata, a Malaysian GenAI and automation company headquartered in Petaling Jaya since 2006.

Does OPAL make hiring decisions automatically?

No. OPAL is designed as a human-in-the-loop co-pilot that scores, ranks, and documents reasoning for CVs, but final hiring decisions remain with the recruiter.

Pricing

Modelcustom quote
Free tier✗ No

Details

CategoryAI / HR & Recruitment
LanguagesEN, MS
Updated2026-07-30