Top AI Companies in Malaysia (2026): 18 Named, by Category
By JY Wong, Founder · BixTech · Updated October 2026
Malaysia has about 18 AI companies you can name and check, two of which have trained their own Malaysian-language models, plus a long tail of software studios that apply AI built elsewhere. The list below groups them by what they actually build, because "top AI company" means nothing until you know whether you need a model, a chip, a drone or a RM 5,000 WhatsApp bot.
We are an AI company in Malaysia ourselves, so read this knowing that. We have put BixTech in exactly one place, the agency category near the bottom, and we have said what we do not do. Nobody paid to be on this page and nobody was asked. Every entry was checked on 10 October 2026 against the company's own site, a Bursa filing or a named press report, and where sources disagree on a founding year the row says so.
The short version
- Two companies build Malaysian LLMs: YTL AI Labs (ILMU) and Mesolitica (MaLLaM). Everyone else runs on OpenAI, Anthropic, Google or open-weight models.
- The money is in infrastructure: YTL AI Cloud's NVIDIA data centre in Johor, Key ASIC's AI chips and ViTrox's inspection machines are the largest businesses here, and none of them sells to SMEs.
- Vision and drones are Malaysia's strongest applied-AI export: Aerodyne, Tapway and Aonic all started here and sell abroad.
- Banks and telcos buy from six to eight firms in the enterprise, fintech and identity categories. If you run a small business you will not be their customer.
- SMEs buy from agencies, and the right question for an agency is not "are you top" but "will you tell me when a process is not worth automating".
Malaysian-language foundation models
Two companies have trained large language models for Bahasa Malaysia and Manglish from the ground up, rather than fine-tuning a foreign model. This is the smallest and hardest category, and the one most lists miss.
| Company | What it does | Based in | Founded | Known for |
|---|---|---|---|---|
| YTL AI Labs | Builds ILMU, a multimodal Malaysian LLM (text, voice, image) that handles Bahasa Malaysia, Manglish and regional dialects. A subsidiary of YTL Power International. | Kuala Lumpur | 2024 (ILMU 0.1); full launch August 2025 | ILMU, developed with Universiti Malaya and hosted on YTL AI Cloud. Launched at the ASEAN AI Malaysia Summit 2025. |
| Mesolitica | Trains MaLLaM (Malaysia Large Language Model) from scratch on Malaysian text, and maintains the open-source Malaya NLP and speech toolkits. | Malaysia | Not stated publicly | MaLLaM paper (January 2024) and the 1.1B, 3B and 5B models on Hugging Face; AWS case study on training with Trainium. |
AI infrastructure, chips and inspection hardware
The compute and the silicon. These are the largest companies on the list by revenue and investment, and none of them will take an SME project.
| Company | What it does | Based in | Founded | Known for |
|---|---|---|---|---|
| YTL AI Cloud | GPU cloud built on NVIDIA GB200 NVL72 Grace Blackwell systems at the YTL Green Data Center Park in Kulai, Johor. Part of a RM 10 billion YTL Power AI programme. | Kulai, Johor | 2023 (NVIDIA partnership); operational October 2025 | Malaysia's first NVIDIA-powered AI data centre. Hosts ILMU and government AI services; hyperscalers among its customers. |
| Key ASIC Berhad | Fabless chip designer moving into AI ASICs and edge-AI SoCs (Synexis platform). Listed on Bursa Malaysia since 2009. | Petaling Jaya, Selangor | 2005 | A US$3.1 million AI chip design contract and repeat AI ASIC orders in 2025; chips deployed in HPC, industrial automation and medical devices. |
| ViTrox | Designs and manufactures AI-driven automated optical and X-ray inspection systems for semiconductor and electronics assembly lines. Bursa Main Market. | Batu Kawan, Penang | 2000 | V810Ai X-ray inspection and the VisionXpert AI smart camera. Revenue of RM 843 million in 2025, which makes it the largest company here by sales. |
Computer vision, drones and robotics
AI that reads the physical world: highways, plantations, factory floors and power lines.
| Company | What it does | Based in | Founded | Known for |
|---|---|---|---|---|
| Aerodyne Group | Drone-based data and AI analytics for utilities, telecoms, oil and gas, agriculture and infrastructure, on its DRONOS platform. | Cyberjaya, Selangor | 2014 | Ranked first among remote-sensing drone service providers worldwide in 2021; operates in about 45 countries. |
| Tapway | No-code vision AI platform (SamurAI) for ANPR, PPE compliance, footfall analytics and quality inspection; City OS for smart cities; now a subsidiary of ITMAX System Berhad. | Kuala Lumpur | 2014 (one directory says 2012) | The AI toll-barrier project with PLUS Malaysia (an NVIDIA Metropolis case study). ITMAX acquired 70% in December 2025. |
| Aonic (formerly Poladrone) | Enterprise drones and automation for agriculture and industry, with AI that identifies individual palms for spot spraying. | Cyberjaya, Selangor | 2016 | Oryctes, a precision spot-spraying drone for oil palm; US$4.29 million seed round led by Wavemaker Partners. |
Enterprise AI, data and analytics
The companies that sell AI to banks, telcos, brands and government. Most of the "AI companies in Malaysia" that appear in funding databases sit here.
| Company | What it does | Based in | Founded | Known for |
|---|---|---|---|---|
| ADA | Data and AI company for marketing, customer analytics and commerce, majority-owned by Axiata with SoftBank, Sumitomo and Mitsui as investors. | Kuala Lumpur (dual HQ with Singapore) | Not confirmed from a primary source | About 1,400 staff across 12 countries; a US$550 million valuation at Mitsui's 2023 investment. |
| Agmo Holdings | Bursa ACE-listed software and AI developer. Builds its own Merdeka LLM, the Dah Reply conversational AI platform and SME Hero, and is the exclusive Malaysian distributor of the Glem.AI enterprise agent platform. | Petaling Jaya, Selangor | 2012 | Listed in 2022; nine-month FY2026 profit after tax of RM 5.87 million; government and Fortune 500 clients. |
| Neuramatix | Research-led company behind NeuraBASE, a neural engine for pattern learning that pre-dates the current deep-learning wave. | Kuala Lumpur | 2002 | One of the longest-running AI R&D firms in the country; still listed among the leading Malaysian AI companies by Tracxn in 2026. |
| Vase.ai | AI-powered self-service consumer research platform with a panel across Southeast Asia. | Kuala Lumpur | 2015 | More than 600 research projects for brands including Digi, Carsome and TNB; seven-figure ringgit round led by Indelible Ventures (2022). |
| Pulsifi | People Data Platform that combines psychometrics with skills data to predict hiring and talent fit. | Kuala Lumpur and Singapore | 2016 | SAP partner; May 2026 workforce-intelligence partnership with PEOPLElogy. |
| NexMind AI | Generative AI and search-optimisation platform (NexODN, NexWriter) producing SEO content in 17 languages. | Kuala Lumpur | 2019 | Seed funding from 500 Global in 2023; profitable since 2021 by its own account. |
Fintech, identity and regtech
AI that decides credit and proves who you are. Both companies below serve most of the Malaysian banks and telcos you can name.
| Company | What it does | Based in | Founded | Known for |
|---|---|---|---|---|
| JurisTech | Lending and credit-management software for banks and finance companies: digital onboarding, loan origination and the Juris DecisionCraft decisioning engine. | Kuala Lumpur (Bangsar South) | 1997 | ISO/IEC 27001 and SOC 2 Type 2; integrated LLM voice agents into JCL Credit Leasing's loan process in 2026. |
| Innov8tif | AI-based eKYC and identity assurance: document authentication (OkayDoc), face matching and liveness (OkayFace, OkayLive) under the EMAS eKYC suite. | Subang Jaya, Selangor | 2011 | Serves a large share of Malaysian banks, telcos and e-wallets; Datasonic agreed to buy a 51% stake in November 2024. |
Data labelling and AI enablement
The unglamorous layer every model depends on. Malaysia had one well-known player here, and it was bought in 2025.
| Company | What it does | Based in | Founded | Known for |
|---|---|---|---|---|
| SUPA (formerly Supahands) | Managed data labelling, RLHF and model evaluation with a Southeast Asian workforce, now part of TDCX's AI enablement arm, Chemin. | Kuala Lumpur | 2014 | More than 100 million data points labelled by its own count; acquired by TDCX in June 2025. |
AI automation agencies for SMEs
The companies above build AI. The agencies apply it, to a RM 5,000 process rather than a RM 50 million platform. This is where we sit, and where most of the directories' "AI companies" actually belong.
| Company | What it does | Based in | Founded | Known for |
|---|---|---|---|---|
| BixTech | Builds AI customer-service and sales agents, WhatsApp automation and business-process automation for Malaysian SMEs, fixed scope, on the systems they already run. | Kuala Lumpur and Singapore | 2018 | OMNE+, our own operations platform used by more than 100 interior-design firms; enterprise work for DBS Bank, Digi, British American Tobacco, Grand Hyatt and Johor Corporation. |
That is our category, so here is the rest of the honest part. We build the AI customer-service agent, the sales agent and the process automation. We do not train models, we do not sell a platform licence, and we will not take a project whose volume does not justify the build. If you want to see what that looks like before you talk to anyone, the AI automation hub describes the services, AI agents in Malaysia explains what an agent is and is not, and AI consulting covers the scoping work that comes first.
The bodies behind the industry
Three organisations shape who gets funded, who gets government work and which status a vendor can put on its proposal. They are not vendors, but you will meet them.
| Body | What it is | Why it matters to you |
|---|---|---|
| AI Malaysia Berhad | The national AI lead agency under the Ministry of Digital, launched on 28 July 2026. It replaces the National AI Office (NAIO, December 2024) and runs the National AI Action Plan 2026 to 2030 and the Malaysia AI Safety Institute (MY-AISafe). | Policy, the coming AI governance bill, and the programmes that decide which companies get government AI work. |
| MIMOS Berhad | The national applied R&D centre, founded in 1985 under MOSTI. Runs CAIFI, a joint AI lab with Microsoft, and the MY-AI Portal. | Research partnerships, high-performance compute access and talent programmes for Malaysian firms. |
| MDEC | Malaysia Digital Economy Corporation. Awards Malaysia Digital status (the successor to MSC status) and runs accelerator programmes such as FOX. | The status a vendor quotes to you is MDEC's. It is a tax-incentive and visa framework, not a quality rating. |
What the directories get wrong
Search "AI companies in Malaysia" and the first page is directories: GoodFirms, Clutch, Tracxn, F6S and a few sales-lead sites. They are useful for finding names and useless for ranking them. GoodFirms orders by client reviews, so a five-person studio with ten happy reviews outranks ViTrox. Tracxn orders by funding, so a company that raised money and shipped nothing outranks one that is profitable. The sales directories count anything with "AI" in its description, which is how one of them reaches 299 Malaysian AI companies.
Three things the directories will not tell you, and this list tries to: whether the company builds or applies AI, whether it is still active (several names that still appear in 2026 roundups have not published anything since 2021, and we left them out), and whether it has been bought. Tapway, SUPA and Innov8tif all changed hands between late 2024 and the end of 2025, which matters if you are signing a multi-year contract with "the founders".
How to choose an AI company in Malaysia
- Decide what you are buying before you compare vendors. A model, a platform, a drone and a WhatsApp bot are four different purchases from four different categories above. Comparing a model builder with an agency is comparing a cement plant with a renovation contractor.
- Ask for a deployment you can call. Not a logo wall, a person who runs the thing today. Every company on this list that sells to enterprises can give you one. An agency should be able to show you something running within the first conversation.
- Ask what they will not do. The vendors worth hiring say no to work. If every process you describe is "a great fit for AI", you are talking to a sales quota.
- Treat Malaysia Digital status as a fact to verify, not a score. It is an MDEC incentive framework. Check the company holds it if they claim it, and then ignore it when judging the work.
- Price the running cost, not just the build. Models are metered. A RM 20,000 build that costs RM 3,000 a month to run is a different purchase from one that costs RM 300. Make the vendor put the monthly figure in writing.
- Check the grant before you sign. The MSME Digital Grant MADANI matches 50% of qualifying spend up to RM 5,000 through approved vendors, and the paperwork has to be done before the invoice, not after.
Red flags, from the other side of the table: a proposal that names the model but not the process; a fixed price with no stated volume; "AI-powered" with no description of what the AI decides; a demo that only runs on the vendor's laptop; and any reluctance to put the monthly cost in the contract.
Key takeaways
- Pick the category first and the list shrinks to two or three names. Malaysia's AI industry is two Malaysian-LLM builders, three infrastructure and chip companies, three vision and drone firms, six enterprise-data vendors, two fintech and identity specialists, one data-labelling house and the agencies that apply all of it to SMEs.
- If you run an SME, every company in the first six categories will decline your project, politely or by quoting a number with too many zeros. Your real shortlist is the agency category and the studios behind it, and you judge those on a running deployment, a written monthly cost and a willingness to say no.
- Malaysia now has its own language models and its own GPU cloud, which means a vendor can keep your data in Johor and answer in Manglish without a foreign API. Ask whether that matters to you before you pay for it.
- Directory rank is not a quality signal. Review counts, funding totals and Malaysia Digital status each measure something other than whether the work is good.
- Three of these companies were acquired in the last two years. Check who owns the vendor today before you sign for three years.
Frequently asked questions
How many AI companies are there in Malaysia?
It depends on who is counting. Tracxn tracked 64 funded AI startups in Malaysia in April 2026, GoodFirms lists 46 that take client reviews, and one sales directory claims 299. The honest number is smaller: only a dozen or so Malaysian companies train models, design chips or build vision systems themselves. Most of the rest are software and services firms that apply AI built elsewhere, which is useful work but a different business.
Which is the biggest AI company in Malaysia?
By revenue it is ViTrox in Penang, with RM 843 million of sales in 2025 from AI-driven inspection equipment. By money committed it is YTL Power, whose RM 10 billion AI programme funds the YTL AI Cloud data centre in Johor and the ILMU language model. By headcount it is ADA, with about 1,400 staff across Asia. None of the three is the right answer for a small business looking for a vendor.
Does Malaysia have its own large language model?
Yes, two. ILMU, from YTL AI Labs, was launched in August 2025, built with Universiti Malaya and handles Bahasa Malaysia, Manglish and dialects across text, voice and images. MaLLaM, from Mesolitica, was pretrained from scratch on Malaysian text and published in January 2024 in 1.1B, 3B and 5B parameter sizes. Both exist because global models still miss local phrasing, mixed-language sentences and dialect.
What is the difference between an AI company and an AI agency in Malaysia?
An AI company builds the model, the chip, the platform or the drone. An AI agency applies those to a specific business process, such as answering WhatsApp enquiries, pricing quotations or reconciling invoices. The companies in this list mostly sell to banks, telcos, plantations and government. If you run an SME, you will almost always be buying from an agency, and the useful question is whether it will scope your process honestly, not whether it is "top".
What happened to the National AI Office (NAIO)?
It was an incubation office set up on 12 December 2024 under MyDIGITAL Corporation. On 28 July 2026 the government replaced it with AI Malaysia Berhad, a permanent corporation under the Ministry of Digital, which now owns the National AI Action Plan 2026 to 2030, the Malaysia AI Safety Institute and the draft AI governance bill due by the end of 2026.
How much does it cost to hire an AI company in Malaysia?
Enterprise platforms from the companies above run to six or seven figures in ringgit and are scoped over months. SME automation from an agency is a different scale: a single process such as quotation or enquiry handling is typically RM 1,000 to RM 40,000 fixed scope, plus RM 200 to RM 1,500 a month in model and hosting costs. The MSME Digital Grant MADANI matches 50% of a qualifying digitalisation spend up to RM 5,000.
Which AI companies in Malaysia work with small businesses?
Of the companies on this list, Agmo (SME Hero and Dah Reply), NexMind (SEO content) and BixTech (customer-service and sales agents, WhatsApp and process automation) sell to SMEs. The model builders, chip designers, drone operators and bank-software vendors do not. For a small business the shortlist is really the agency category plus the long tail of software studios the review directories carry.
Is Malaysia Digital (MD) or MSC status a sign that an AI company is good?
No. It is an MDEC incentive framework that confers tax and immigration benefits on companies that meet investment and activity conditions. It is worth checking that a vendor who claims it actually holds it, but it says nothing about the quality of the work. A named deployment you can call and a willingness to say "this is not worth automating" tell you far more.
Method: compiled on 10 October 2026 from company websites, Bursa Malaysia filings and press reports in The Edge, Digital News Asia, Bernama and the New Straits Times, cross-checked against Tracxn and GoodFirms for names we had missed. Companies with no public activity since 2021 were left out. No placement was paid for or solicited. Founding years, headcounts and valuations are as reported by the sources named and may have changed; check the company before you rely on a figure.
More of this kind of writing is on the BixTech blog.