ILMU (ILMUchat)
Malaysia's sovereign LLM, tuned on rojak speech, launched by the PM
Overview
ILMU (Intelek Luhur Malaysia Untukmu) is YTL AI Labs' multimodal LLM, built with Universiti Malaya and trained on Malay, Manglish and regional dialects, launched by Prime Minister Anwar Ibrahim in August 2025. ILMUchat is free, with Pro at RM50 a month; businesses get a published per-token API on Malaysian infrastructure.
Pricing
Pricing shown for reference only. These figures reflect RECATOOLS research as of 30 Sep 2026 and may be out of date or incomplete. This is not financial or purchasing advice — always confirm the current price on the provider’s official website before making any decision.
- Text, voice and image input
- Complimentary for Yes subscribers
- ILMU Claw agents
- ILMU Claw agents
- OpenAI-, Anthropic- and Gemini-compatible endpoints
- Prompts not used for training
What you can produce with ILMU (ILMUchat)
- ILMUchat multimodal consumer assistant (text, voice, image) — free, with Pro at RM50 a month
- LLM tuned for Malay, Manglish and rojak code-switching
- ILMU API with published per-token pricing, OpenAI-, Anthropic- and Gemini-compatible, on Malaysian infrastructure
- ILMU Claw agent platform, powered by ILMU-Nemo-Nano developed with NVIDIA
- Deployments at Ryt Bank and, through single sign-on, for Yes subscribers
- ILMU AI Accelerator Programme (RM5 million in free API credits across eligible teams)
ILMU's core claim — that it handles rojak, the Malay/English/Chinese/dialect code-switching Malaysians actually speak — is the point of the product, and YTL is backing it with real infrastructure and deployments: ILMU powers Ryt Bank, reaches Yes subscribers through single sign-on, and underpins ILMU Claw, an agent platform built with NVIDIA on YTL's own cloud. Pricing is now published and low by regional standards: ILMUchat is free, Pro is RM50 a month, and the API starts at RM0.20 per million input tokens on the mini model, with prompts excluded from training. The evidence for its quality is thinner than the launch suggested: the best-known hands-on review was run through a Claude browser extension and co-written with an LLM, and the MalayMMLU lead over GPT-4o is measured on a benchmark YTL's own partnership built. For sovereign-AI-in-ASEAN watchers this is one of the region's more substantive builds; test it on your own Malay tasks before relying on the headline scores.
What we found
ILMU — short for Intelek Luhur Malaysia Untukmu — was launched by Prime Minister Anwar Ibrahim on 12 August 2025 at the ASEAN AI Malaysia Summit, with the ILMUchat assistant opening to early access on 16 September. YTL AI Labs built it with Universiti Malaya to handle Malaysian code-switching: Bahasa Melayu, English, Chinese, dialects and Manglish blended in one sentence, which is how much everyday Malaysian conversation works. YTL calls it the country's first homegrown multimodal LLM; that is its own claim.
The best-known hands-on write-up, a January 2026 Medium post by Peter Ho that YTL later republished, had it give a neutral, sourced account of the 1MDB scandal, citing the USD 4.5 billion figure and 33 sources, and summed it up as understanding "the Rojak" but speaking "like a Professor". The author says he ran the tests through a Claude browser extension and co-wrote the piece with an LLM, so read it as a guided demo rather than an independent review. The formality complaint has since been addressed: a June 2026 update lets users draft in tones from formal to casual Manglish.
On benchmarks, YTL reports ILMU scoring 87.2 on MalayMMLU against GPT-4o's 85.0 — a benchmark built by YTL's own partnership with Universiti Malaya — and the often-quoted A grades in the PT3 and SPM Malay exams belonged to an earlier 2024 version. Treat both as vendor claims.
Deployment is real. ILMU powers Ryt Bank, Yes subscribers get ILMUchat Pro through single sign-on, and ILMU Claw, an agent platform launched in April 2026, runs on ILMU-Nemo-Nano, developed with NVIDIA, on YTL's own cloud.
Pricing is now public: ILMUchat is free, with Pro at RM50 a month; the API costs RM4 per million input tokens and RM16 per million output on the flagship model, far less on the mini model, and Claw plans start at RM25 a seat. YTL says prompts are not used for training.
Compiled by RECATOOLS from public sources: vendor documentation and pricing, code repositories and published reporting.
About this listing
This entry was compiled from publicly available data including ILMU (ILMUchat)'s official website, press releases, documentation, and reputable third-party publications. RECATOOLS is not affiliated with ILMU (ILMUchat) unless explicitly stated.
Third-party AI tools update their pricing, features, availability, and policies frequently. Information here may be outdated by the time you read this — we make reasonable efforts to keep listings current, but cannot guarantee absolute accuracy.
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