Data annotation · Southeast Asia
We label text, images and video for AI teams building for Southeast Asian users: Malay, English and Mandarin, including the mixed-language messages people actually send.
Services
Each service is run by annotators who speak the language and know the context, with written guidelines agreed with you before any labelling starts.
Labelled conversations and preference data for chatbots and language models serving Malaysian, Singaporean and Indonesian users, including Manglish and Malay–Mandarin code-switching.
Text labelled against compliance guidelines you provide or co-define with your Shariah advisers, for Islamic finance products, halal commerce and content moderation.
Categories, attributes and image tags for marketplace catalogues, written in the mix of languages sellers in the region actually use.
Images and video from working building sites in the Klang Valley, collected with site owners' consent and labelled for safety, progress and inspection models.
How a pilot works
Send a sample of your data and what the model needs to learn. We draft labelling guidelines with you.
We label a small set together with your team and settle every edge case in the guidelines.
We label a fixed batch at production settings and deliver it in your format.
You get agreement scores, error examples and a price per item for the full volume.
Quality and data handling
Your data stays in the scope you set, and you see the numbers behind each delivery.
Double annotation on a sampleTwo annotators label the same items so agreement can be scored and disagreements reviewed.
Gold-set checksKnown answers are mixed into every batch to catch drift early.
Guidelines you ownEvery rule and edge-case decision is written down and handed over with the data.
Handled under Malaysia's PDPANDAs as standard, access limited to the assigned team, and personal data redacted where the task allows.
Start a pilot
We reply with a scoped pilot proposal, usually within two working days.
hello@datasea.asia