VALSEA provides an AI‑powered speech‑to‑text platform tailored for Southeast Asian accents and code‑switching, delivering high‑accuracy transcriptions even from noisy, compressed audio. The service enriches transcripts with semantic tags, sentiment, and domain‑specific vocabularies, then outputs structured data such as support tickets, meeting minutes, or CRM updates via OpenAI‑compatible REST APIs or low‑latency WebSocket streams.
Funding
Funding not disclosed
Founders
Product
Problem
Businesses in Southeast Asia struggle to extract actionable information from voice communications because existing speech‑to‑text services are trained on Western accents and cannot reliably handle regional code‑switching, mixed languages, and noisy real‑world audio.
Solution
VALSEA offers an AI‑powered platform that transcribes Southeast Asian speech—including Singlish, Taglish, Chinglish, Vietnamese, Thai, Tamil, and various Chinese dialects—with high accuracy despite background noise and compression artifacts. The service enriches raw transcripts with semantic tags, sentiment labels, and domain‑specific vocabularies, then formats the output into structured data such as support tickets, meeting minutes, or action items. Developers can access these capabilities via OpenAI‑compatible REST APIs or low‑latency WebSocket streams for real‑time use cases. By converting colloquial, accented speech into clean, machine‑readable text, VALSEA enables automated workflows across CRM, ticketing, messaging, and other enterprise tools without requiring custom model training.
Target Audience
Primary customers are Southeast Asian enterprises—such as contact centers, operations teams, and regional corporations—that need to process voice notes, call recordings, or live speech into structured data for CRM, ticketing, and workflow automation.
Features
- Accent‑aware ASR models trained on real Southeast Asian speech, handling code‑switching and mixed‑language inputs
- Real‑time transcription via WebSocket with partial results, token locking, and semantic event extraction
- Automatic semantic annotation (e.g., sentiment, intent, domain tags) and correction of misheard tokens
- Built‑in translation between 50+ languages with source language detection
- Output formatting options for meeting minutes, action items, support tickets, and CRM updates
- Industry‑specific vocabularies for F&B, logistics, property, and healthcare that work out‑of‑the‑box
- Simple OpenAI‑compatible REST endpoints for easy integration with existing stacks