M TELECOMMUNICATIONS SDN BHD Tech Stack

AI infrastructure and deployment platform for Southeast Asian enterprises

Technology, Information and Internet Kuala Lumpur, Federal Territory of Kuala Lumpur 51–200 employees Privately Held

MTAI operates an AI compute and deployment stack—vLLM, SGLang, Ollama, FastAPI, PostgreSQL, vector databases (Milvus, Qdrant, pgvector)—targeting multi-sector adoption across healthcare, finance, retail, manufacturing, and telecommunications. The hiring profile is heavily finance-skewed (4 finance roles, 1 engineering, 1 HR, 1 legal), with acceleration in M&A and post-transaction integration activity, suggesting growth through acquisition or portfolio consolidation rather than organic engineering velocity.

Tech Stack 21 technologies

Core StackSAP QuickBooks Ollama Docker PostgreSQL Redis Python FastAPI Tally Excel PowerPoint Microsoft Office vLLM SGLang Docker Compose LiteLLM Milvus Qdrant pgvector

What M TELECOMMUNICATIONS SDN BHD Is Building

◆Challenges

Reconciliation of financial discrepancies
Scaling compliance
Legal risk assessment for new projects
Optimizing large language models on gpu
Maintaining deployment pipelines for rapid iteration
Monitoring model performance and latency
Manpower planning
Talent retention
Succession planning

▲Active Projects

M&a transactions
Post-transaction integration
Internal compliance policies
Legal risk assessments for new projects
Compliance registers for audit
Llm deployment and infrastructure
Ai-powered web application development
Data pipeline for ai model training
Rolling 12-month hiring forecast
Annual training plans

Hiring Activity

Accelerating7 roles · 4 in 30d

Department

Finance

Engineering

Legal

Seniority

Senior

Mid

Junior

Company intelligence

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About M TELECOMMUNICATIONS SDN BHD

MTAI is an AI solutions provider serving enterprises across Southeast Asia, with particular focus on healthcare, finance, retail, manufacturing, and telecommunications. The company delivers AI compute infrastructure, software, and deployment services designed for high-performance, industry-specific use cases. Based in Kuala Lumpur with 51–200 employees, MTAI operates a technical stack centered on open-source LLM orchestration (vLLM, Ollama, SGLang) layered over vector search (Milvus, Qdrant) and traditional data infrastructure (PostgreSQL, Redis). Current priorities span LLM deployment optimization, data pipeline engineering for model training, and internal compliance scaling—suggesting both customer-facing AI product maturity and operational complexity from expansion.

HeadquartersKuala Lumpur, Federal Territory of Kuala Lumpur

Company Size51–200 employees

Hiring MarketsMalaysia

Frequently Asked Questions

What tech stack does MTAI use for AI deployment?

MTAI builds on vLLM, SGLang, and Ollama for LLM inference, FastAPI for application serving, PostgreSQL and Redis for data, and Milvus/Qdrant for vector search—a stack optimized for open-source model deployment and multi-tenant inference.

What industries does MTAI serve?

MTAI targets healthcare, finance, retail, manufacturing, and telecommunications across Southeast Asia, with AI solutions tailored to sector-specific compliance, performance, and scalability needs.