The questions Malaysian businesses ask us most often, with direct answers. Optimised for SEO, GEO, and AEO so generative search engines can quote us accurately.
Multi-Agent Orchestration is a way of running AI by coordinating many small, specialised agents instead of one large model. A Manager agent decomposes the goal, dispatches Worker agents in parallel, and reconciles their outputs. Teragrid Ai is the platform Malaysian businesses use to run this pattern in production.
It is the local application of Swarm Intelligence — many AI agents acting together — to Malaysian operational realities like multilingual customer service, PDPA compliance, MYR-denominated reconciliation, and integration with platforms like Shopee, Lazada, AutoCount, and SQL Accounting.
Yes. Teragrid Ai offers Malaysia-resident deployments with sovereign data handling, suitable for businesses with PDPA, financial services, or government contractor obligations.
Yes — that is the most common deployment shape. Onboarding is HRDF-claimable through TrainHRDF, and most pilots are run by an existing operations manager. No machine learning background required.
Robotic Process Automation follows scripted rules. A Teragrid swarm reasons about the goal, adapts when systems change, and reconciles unexpected results. RPA breaks when a UI changes; a swarm re-plans.
All-in costs for a typical Malaysian SME range from RM 2,000 to RM 8,000 per month depending on volume, plus a one-off onboarding that is partially HRDF-claimable. Most pilots show payback in 3–6 months.
Every agent action is logged immutably with the inputs, outputs, and the reasoning trace. Sensitive workloads can be pinned to locally-hosted models so PDPA-protected data never leaves your infrastructure.
The pragmatic path is a 30-day pilot: pick one painful workflow, deploy a swarm in read-only mode, add a human approval step, then flip to write-mode for low-risk actions. Get in touch via the contact form to scope your first workflow.