Top 10 Malaysia-Based AI Companies to Watch in 2026

Malaysia's AI ecosystem is growing quickly. A few years ago, most AI conversations were still about experiments, dashboards, or proof-of-concepts. Today, more Malaysia-based companies are building practical AI solutions for real business problems — from recruitment and education to computer vision, drones, data labelling, government platforms, and enterprise automation.

Malaysia's National AI Office was launched to help coordinate AI adoption, policy, innovation, and governance as the country works to strengthen its position in the regional AI economy.

This list is not ranked by revenue, company size, or market share. It is also not meant to be a startup directory. The companies featured here were selected because they are showing meaningful activity in Malaysia's AI ecosystem — through enterprise projects, AI products, infrastructure, data services, industry solutions, or public-sector relevance.

1. Agmo Group / Agmo AI

Agmo Group is a Malaysian digital solutions and application development company. Its work covers mobile applications, web platforms, cloud systems, AI, analytics, blockchain, digital services, and enterprise technology solutions. Through Agmo AI and its Glem.AI enterprise AI platform, the company is also moving deeper into AI agents, workflow automation, enterprise data intelligence, and AI-powered business applications.

Agmo is relevant for organisations that want to modernise existing digital platforms and add AI into their business systems. A typical use case could be a large organisation wanting to automate internal workflows, improve customer engagement, or build AI-enabled applications connected to existing enterprise data.

Best suited for: enterprise AI transformation, custom AI applications, digital platforms, mobile/web apps, cloud modernisation, AI agents, and AI integration.

2. Tapway

Tapway is one of Malaysia's more visible Vision AI companies. It focuses on computer vision, video analytics, and platforms that help businesses build, train, deploy, and monitor Vision AI solutions in physical spaces. Tapway says its mission is to make Vision AI easier to build and deploy quickly and affordably.

Tapway's work is useful in environments where cameras and visual data can improve operations. This includes retail stores, factories, logistics hubs, infrastructure, plantations, and smart city environments. For example, computer vision can help detect defects, count objects, analyse traffic flow, monitor safety, or understand customer movement. Its Vision SamurAI platform is described as a no-code, end-to-end computer vision platform for creating and deploying Vision AI models.

Best suited for: computer vision, video analytics, visual inspection, retail analytics, smart infrastructure, manufacturing, logistics, and edge AI.

3. Oxydata Software

Oxydata Software is a Malaysia-based technology company that helps both enterprises and SMEs bring AI into everyday business workflows. Its work includes RAG-based knowledge assistants, WhatsApp AI agents, AI integration, workflow automation, GenAI training, and OPAL, its AI-powered recruitment platform.

What makes Oxydata interesting is its practical approach. In recruitment, OPAL helps teams review CVs faster, match candidates against job requirements, rank applicants, prepare interview questions, and manage a more structured recruitment pipeline. Oxydata positions OPAL as an agentic AI recruitment platform for recruitment agencies and corporate HR or talent acquisition teams.

For education institutions, Oxydata builds AI assistants that can answer questions from students, parents, and admissions teams using approved content such as courses, fees, entry requirements, scholarships, and application steps.

Oxydata is a good fit for organisations that want to adopt AI in a realistic way — by improving current systems, automating repetitive work, integrating AI into existing workflows, and helping teams use GenAI more confidently.

Best suited for: RAG assistants, recruitment AI, education AI assistants, WhatsApp AI agents, AI integration, workflow automation, GenAI training, enterprise AI adoption, SME AI adoption, and practical GenAI solutions.

4. Aerodyne Group

Aerodyne Group is one of Malaysia's best-known drone technology companies. The company describes itself as a DT3 enterprise solutions provider, combining drone technology, data technology, and digital transformation. It uses drone data and AI-powered analytics to solve industrial challenges and improve productivity.

Aerodyne's AI relevance comes from turning large amounts of drone-captured data into useful business insights. Drone data can be used to inspect infrastructure, monitor plantations, check energy assets, assess telco towers, or support large-scale industrial maintenance. This is a good example of AI being applied beyond office workflows — into physical assets, field operations, and industrial decision-making.

Best suited for: drone analytics, infrastructure inspection, plantations, energy, telco tower inspection, asset monitoring, and geospatial intelligence.

5. SUPA / Supahands

SUPA, formerly associated with Supahands, plays an important role in the AI ecosystem by focusing on data labelling, data curation, classification, RLHF, semantic labelling, and human-in-the-loop AI support. SUPA says it supports machine learning teams through a mix of technology and human expertise, including data labelling for RLHF, LLMs, semantic tasks, classification, and curation.

This is important because AI models are only as good as the data used to train, test, and improve them. Many AI projects need humans to label images, classify text, validate outputs, review edge cases, or improve model responses. SUPA is especially relevant for AI teams building computer vision systems, language models, classification tools, generative AI workflows, or model evaluation pipelines.

Best suited for: data labelling, AI training data, RLHF, LLM evaluation, image annotation, text classification, and human-in-the-loop AI workflows.

6. Aonic

Aonic is a Malaysia-founded drone technology company that provides end-to-end drone solutions, especially for agriculture and industrial sectors. The company describes itself as anchored by drone expertise, offering tailored solutions across multiple verticals.

Its AI relevance comes from combining drones, field data, automation, and software. In agriculture, this can include crop monitoring, plantation spraying, farm mapping, and data-driven decision support. Aonic's Mist Drone is described as built in Malaysia by local engineers to address real agricultural challenges.

Aonic is a good example of a Malaysian technology company applying automation and data intelligence to traditional industries like agriculture and field operations.

Best suited for: agriculture drones, plantation automation, smart farming, drone services, field data collection, and industrial operations.

7. Zetrix AI Berhad / MYEG

Zetrix AI Berhad, formerly MY E.G. Services Berhad, is a Malaysia-based digital services company. MYEG is known for electronic government services, and the company now positions Zetrix AI around digital services, blockchain, artificial intelligence, robotics, and cross-border digital infrastructure.

Zetrix is relevant to Malaysia's AI ecosystem because AI adoption at scale often needs trusted digital infrastructure, identity systems, data exchange, secure transactions, and public-sector platforms. While it is not a typical custom AI development agency, its role in digital government and trusted digital infrastructure makes it important in the broader AI landscape.

Best suited for: digital government services, digital identity, blockchain infrastructure, cross-border trade, enterprise trust systems, and public-sector platforms.

8. NEUON AI

NEUON AI is a Malaysian AI company specialising in computer vision, machine learning, and Internet of Things. The company describes its work as combining in-house machine learning engineers, software developers, and custom AI capability to serve business needs. Its profile also highlights customised deep neural network models, especially for computer vision-based pattern recognition.

NEUON's work is relevant for use cases where machines need to recognise patterns from images, video, devices, or sensor data. This can include face recognition, smart monitoring, IoT-enabled systems, precision agriculture, interactive advertising, and business intelligence. The company is based in Sarawak and has been linked to AI applications for sectors such as manufacturing, agriculture, and system management.

Best suited for: computer vision, machine learning, IoT, face recognition, smart monitoring, precision agriculture, and image-based analytics.

9. Opinosis Analytics

Opinosis Analytics is an AI and machine learning consulting firm. The company helps organisations define AI use cases, build intelligent systems, streamline operations, surface insights, and apply AI through a mix of strategy and hands-on implementation.

This type of company is useful when a business knows it wants to adopt AI but is not yet sure where to start. Instead of jumping straight into a tool, Opinosis can help clarify the business problem, evaluate the data, design the AI approach, and guide implementation. Its work appears especially relevant for companies that need AI strategy, machine learning models, NLP, analytics, or custom AI solutions around specific business problems.

Best suited for: AI consulting, AI readiness, machine learning, NLP, data science, custom AI solutions, and AI strategy.

10. Entermind

Entermind is an AI-native consultancy with a Kuala Lumpur solution hub. Digital News Asia reported that Entermind launched with offices in Silicon Valley, Singapore, Kuala Lumpur, and Bangalore, anchored by a 24-person core solution hub in Kuala Lumpur.

The company positions itself around AI consulting, data architecture, AI-native knowledge systems, business strategy, product design, and AI-enabled growth engines. Entermind describes itself as helping enterprises build AI-ready data architectures, knowledge systems, and growth engines.

Entermind may be relevant for larger organisations that want help thinking through how AI changes their operating model, customer experience, data architecture, and internal decision-making.

Best suited for: AI strategy, enterprise AI consulting, data architecture, AI-native knowledge systems, product design, and sales/service transformation.

How to Choose the Right AI Partner in Malaysia

Not every AI company solves the same problem. A computer vision company may not be the right fit for a recruitment automation project. A drone analytics company may not be the right partner for a WhatsApp AI assistant. A data labelling company may support AI development but may not build the final business application.

Before choosing a partner, businesses should ask a few practical questions.

What problem are we trying to solve? Start with the business issue, not the technology. Examples include slow recruitment, repeated customer enquiries, poor document search, manual inspections, or lack of visibility in field operations.

Does the vendor understand our workflow? Good AI is not just about the model. It needs to fit into how people already work — whether that is WhatsApp, email, CRM, ATS, ERP, website chat, internal documents, or field operations.

Can the solution move beyond a demo? Many AI demos look impressive. The real question is whether the solution can be deployed, monitored, improved, and used safely by real users.

Can the vendor explain the ROI? A good AI partner should be able to explain how the solution improves speed, quality, cost, customer experience, or decision-making.

Conclusion

Malaysia's AI landscape is becoming more diverse and practical. Companies like Agmo, Tapway, Oxydata, Aerodyne, SUPA, Aonic, Zetrix, NEUON AI, Opinosis Analytics, and Entermind show that AI in Malaysia is no longer limited to generic chatbots or experimental projects.

Some companies focus on enterprise platforms. Some specialise in computer vision or drones. Others support the AI ecosystem through data labelling, infrastructure, consulting, or workflow automation.

For Malaysian businesses, the best starting point is simple: identify one real problem, choose the right type of AI partner, and build a solution that people can actually use.

Looking to build practical AI solutions for your business? Oxydata Software helps Malaysian enterprises and SMEs design and deploy RAG knowledge assistants, recruitment AI platforms, education AI assistants, WhatsApp AI agents, AI integrations, workflow automation, and GenAI training programmes. Talk to Oxydata about your AI use case.