Oxydata is a Malaysia AI services vendor that helps enterprises and SMEs automate and integrate existing systems — CRM, ERP, WhatsApp, documents and internal tools — with practical AI workflows, agents and APIs. Based in Malaysia. Microsoft Partner.
20+
Data & AI Solutions Delivered
42+
Enterprise Clients
95%
Client Retention
20+
Years Serving Malaysia
USE CASES
Six problems Malaysian businesses bring to us most often — and what we build to fix them.
Teams still lose hours to repeat questions. A 24/7 copilot trained on your products, FAQs, and policies answers instantly and cites the right material.
It escalates only when a human is required—so staff focus on complex issues and relationships.
Key outcome
Teams using AI copilots typically deflect 50–65% of repeat support tickets — without adding headcount.
Screen and rank applicants against the criteria you already use.
Automate scheduling and follow-ups so recruiters spend time on the right conversations.
HR focuses on fit and closing hires—not admin.
Key outcome
Recruiters stop reading 200 CVs and start interviewing the right 10. Screening that took 3 days happens in under 4 hours.
More time closing, less time facing a blank page. AI drafts pitches, social, and outreach in your voice.
CRM-linked workflows give every lead a timely, consistent next step.
More qualified conversations without adding headcount.
Key outcome
10x your content output with zero extra headcount
Buyers expect fast WhatsApp replies—especially in Malaysia—and delays cost revenue.
Reply 24/7, qualify in Bahasa Malaysia or English, and route warm prospects to sales.
The funnel keeps moving after hours.
Key outcome
Never miss a lead — close sales even while you sleep
Know-how sits in PDFs, folders, policies, and email—slow to search when someone needs an answer.
Ask in plain language; get answers grounded in your documents with trusted references.
Less guesswork, faster decisions, fewer internal round-trips.
Key outcome
Instant answers from your own company knowledge base
Chasing invoices matters, but doing it by hand is slow and easy to postpone.
AI sends professional reminders, structured follow-ups, and flags higher-risk accounts early.
Stronger collections with fewer awkward calls and less manual tracking.
Key outcome
Faster collections, less admin, better cash flow
Not sure which use case fits your business?
Let's Find Out TogetherServices
Figure out the right AI strategy before committing budget — discovery sprints and full roadmaps.
Map processes, assess data readiness, and prioritise high-impact use cases — fast and low-commitment.
Maturity assessment, ROI modelling, governance, and a sequenced pilot-to-scale plan.
One priority area at a time: discover, strategise, roadmap, deliver — then expand.
PDPA, RMiT (where relevant), AIGE, and international AI governance standards built in.
Build AI-powered applications and intelligent agents from the ground up.
Build autonomous AI agents that think, decide, and act on your behalf — 24/7.
Deploy intelligent assistants for customer service, sales, and internal operations.
Connect your business knowledge to AI for accurate, context-aware responses.
Customise AI models on your industry data for higher accuracy and relevance.
Wire AI into existing systems, tools, and workflows — WhatsApp agents, document flows, APIs and voice.
Automate customer engagement, lead qualification, and sales on messaging platforms.
Extract, classify, and process unstructured documents — invoices, contracts, and CVs — automatically.
Replace manual processes with intelligent automation using n8n, Make.com, and custom agents.
Deploy voice-enabled AI for call centres, product demos, and customer self-service.
Connect AI to your existing tools, databases, and business systems seamlessly.
Hands-on AI and GenAI training for teams, leaders, and technical practitioners. HRD Corp claimable.
Anticipate equipment failures, reduce energy waste and optimise inventory — predictions delivered into operational workflows.
Failure probability, abnormal machine behaviour, quality risk and maintenance priority from production data.
Demand forecasts, peak windows and waste signals for factories, buildings, hospitals and campuses.
SKU demand, stockout risk, excess inventory and supplier-delay signals for ops and logistics teams.
Dashboards, alerts and APIs so predictions reach maintenance, energy and inventory workflows.
Turn historical data into forward-looking decisions — conversational analytics, ML forecasts, and dashboards your team actually uses.
Ask your data in plain English — churn, cost overruns, sales risk — and get answers grounded in your actual numbers, not a static dashboard.
Visualise performance across sales, ops, and finance — built and integrated so leaders see the same trusted view.
Score customers by flight risk and trigger retention plays before revenue walks out the door.
Pipeline and inventory forecasts trained on your history — less spreadsheet guesswork for sales and ops leaders.
Flag unusual transactions, cost spikes, and process outliers in near real time that rules alone miss.
Data warehouses, SQL Server datamarts, ETL/ELT, and knowledge capture — so reporting and AI sit on data your organisation can trust and maintain.
Explore Enterprise DataArchitecture and SQL Server subject-area marts for finance, ops, and other consumers who need trusted reporting.
Repeatable pipelines with validation and reconciliation — not one-off scripts that only one person understands.
Tuning and load patterns that keep dashboards responsive as volumes grow.
Workshops, STTM, dictionaries, runbooks, and SharePoint repos that reduce key-person and BCP risk.
Microsoft cloud end-to-end — AI-driven application development, QA, support & trouble tickets, Azure database support, Power Platform enhancement, and application & AI observability.
Explore Managed ServicesModern apps with AI-assisted engineering — Cursor, agentic workflows, Next.js and cloud APIs, Azure-hosted delivery with human review on critical steps.
Playwright, Java/API tests and GitHub Actions — plus DeepEval, Promptfoo and Ragas for agents, prompts and RAG.
SLA-backed ticket handling and escalation so incidents get owned and resolved without chasing vendors.
Azure SQL and related Azure DB ops — monitoring, tuning, backups, and production run support.
Build and enhance Power Apps, Power Automate, and related solutions on your Microsoft tenant.
OpenTelemetry with Azure Monitor and Application Insights — APM, traces, LLM cost and latency, dashboards and alerts.
Solution Tracks
OPAL, our AI-powered recruitment platform, helps HR and talent teams stop drowning in CVs and start making faster, better-quality hiring decisions — from job posting to ranked shortlist, with full audit trail.
Automatically search, identify and shortlist top candidates from multiple job portals and LinkedIn based on your job requirements using AI agents.
AI-powered CV analysis that scores and ranks candidates against your job criteria, reducing manual screening time by up to 80%.
AI assistant that generates probe questions from CV gaps and strengths — so you can validate claims, not hyped-up profiles — then produces structured interview summaries automatically.
Automate the entire onboarding journey from offer letter to day one — document collection, IT setup requests and induction scheduling.
Malaysia's first DACUM-based competency management system. Digitise validated skill profiles, assess Knowledge, Skill and Abilities gaps at task level, and recommend the right training intervention — so L&D spend follows evidence, not guesswork.
Structure every role as Duties, Tasks, Knowledge, Skills and Abilities with required proficiency levels — then generate a candidate-ready JD in one click.
Identify the gap type at every task (A1, A2, A3) so managers know whether to train, coach, or counsel — not send everyone to the same classroom.
Heat-map coverage by employee and duty, plus Stars, Willing Learners, and underperformers — plotted from assessment data, not opinion.
Training Needs Analysis built automatically from gap data — programmes, priorities, and personalised employee L&D plans without manual HR compilation.
Employees ask about their gaps and recommended training in English or Bahasa Malaysia — answers grounded in their own assessment data.
Audit data quality, governance, and cleansing readiness before you embark on AI — profile sources, score defects by impact, and leave with a remediation roadmap.
Missing data, completeness, accuracy, uniqueness, and consistency — with evidence, not opinions.
Coverage, freshness, grounding docs, and blind spots for copilots, RAG, and predictive models.
Align business and IT on entities and metrics — ownership, definitions, and stewardship gaps.
Find personal data in unexpected places, access risks, and handling gaps before AI expands.
A prioritised cleansing backlog — what to fix first, who owns it, and in what order.
Map source systems, interfaces, and ETL/feeds so teams know provenance and what can be trusted.
Client testimonials
Voices from long-term partners across telecom, automotive finance, and banking — on delivery, reliability, and enterprise data.
Partnering with Oxydata was a turning point for us. Their work wasn't just insightful — it was immediately actionable, moving us from reactive reporting to genuine predictive churn management.
Oxydata has been our trusted Microsoft managed services partner for over six years. Reliable, knowledgeable, and consistently deliver — including a key digital mobile app we still run on today.
We chose Oxydata to manage and implement our data extraction and integration platform on Microsoft technologies — and they delivered. Proven capability, competitive pricing, and a team that genuinely understands enterprise data.
Insights
Unfiltered views from the team actually building AI for Malaysian businesses — not consultants writing about it from the sidelines.
We're a Malaysian AI and technology company, headquartered in Petaling Jaya since 2006. We started as a managed services and outsourcing provider — and over time, deliberately transformed into an AI-led organisation as we saw where enterprise technology was heading.
Today our work centres on GenAI, agentic automation, analytics, and OPAL, our AI recruitment platform. Same team, same commitment to delivery — just with more powerful tools and a clearer conviction about what creates real business value.
Buying AI is easy. Getting it to work in your business is harder than most vendors admit. We've been doing this long enough to know where projects fail — and we'd rather tell you upfront than discover it at go-live.
Our founder spent over 30 years as a hands-on AI and data engineer — building predictive and machine learning systems long before GenAI existed. That foundation is why we approach every GenAI and agentic build differently. We're not guessing. We've seen what works.