As a premier language service provider, CCC provides high-quality, structured datasets for AI training and evaluation, with a focus on Southeast Asian and Japanese languages.
Our expertise lies in transforming both real-world and controlled language data into clean, validated, and AI-ready datasets—covering text, speech, and multimodal content.
We specialize in conversational and culturally nuanced language, including code-switching (e.g., Taglish), enabling AI systems to perform effectively in real-world environments. We are a process-driven data production partner, integrating seamlessly into client workflows and tools.
Given today’s data-driven business landscape, success depends on effective data collection. At CCC, we recognize this reality and offer solutions. With our comprehensive transcription and data collection services, we meet the evolving needs of businesses worldwide.
See how our data collection procedure elevates operations
What We Deliver
We provide end-to-end AI data services, including conversational datasets, speech collection and transcription, multilingual MTPE, domain-specific corpora, and synthetic data creation, all designed to support real-world language use cases such as chatbots, voice assistants, and LLM training. Our work ensures high-quality, structured, and scalable datasets through processes like translation, QA, labeling, validation, and alignment across multiple languages and contexts.
Our Specialized Language Data Services
Our Approach
We take pride in our transparent and results-driven data collection method. With our process, we ensure that your information actively transforms into valuable insights. Accordingly, our approach involves several key items:
Why CCC
Our commitment to excellence is evident in our extensive expertise, rigorous quality assurance, and a dynamic range of services. By choosing us for your data collection outsourcing, you’re partnering with a dynamic team.
We actively tailor our expertise to your industry. Whether it be for voice assistants (e.g., Alexa, Google Assistant, Siri), chatbots and customer support AI, IVR and call center automation, speech recognition (STT) and text-to-speech (TTS) systems, conversational AI and virtual agents, smart home and IoT interactions, in-car voice systems, AI knowledge bases and search systems (RAG), or LLM training, you can entrust CCC with your language data needs for AI. By upholding rigorous quality standards and offering a diverse range of services, we elevate your linguistic and data-driven pursuits.
Case Studies
Conversational Speech Corpus Localization (Tamil & Bengali)
- Volume: 40M words (~2.8M sentences)
- Duration: April 2025 – February 2026
- Scope:
- Daily speech corpus localization
- Text refinement
- QA and evaluation
Result: High-quality conversational, context-independent datasets for AI training, with consistent output across millions of data points.
Multilingual Parallel Corpora (Russian)
- Volume: 120M words
- Duration: April 2022-February 2023
- Scope:
- News MTPE
- Daily speech corpus translation
- QA validation
Result: Large-scale parallel datasets supporting both formal and conversational AI systems.
Multilingual Speech Recording & Media Annotation (Italian, French, Singaporean English)
- Volume: 1000+ video hours
- Languages: Italian, French, Singaporean English
- Duration: 2020-2023
- Content: Online media (e-commerce and educational videos and podcasts)
- Scope:
- Transcription
- QA validation
- Speaker tagging
- Environment/noise labeling
Result: Structured datasets from real-world audio environments with diverse accents and conditions.
End-to-End Scripted Speech Dataset (Tagalog, Japanese, French)
- Volume: ~40M words
- Duration: 2020-2024
- Scope:
- Script writing (business and educational contexts)
- Scripted and non-scripted speech data recording and collection
- Recording with defined audio quality standards
- Transcription
- QA and evaluation
Result: Fully aligned, context-based datasets (text → audio → transcript) for controlled AI training environments and smart device and IoT voice interactions use cases.
Create a new story with us.
FAQs
We support Southeast Asian, Japanese, and global languages, including Tagalog, Cebuano, Indonesian, Malaysian, Japanese, Vietnamese, Thai, Tamil, Bengali, French, Italian, and Russian. We also provide rare and low-resource language support at scale for emerging markets, including Armenian, Georgian, Telugu, and more.
CCC provides multilingual AI datasets including conversational text data, speech data collection and transcription, parallel corpora (MTPE), domain-specific datasets, structured knowledge corpora, and scripted or synthetic datasets for AI training and evaluation.
Our datasets support a wide range of applications, including chatbots, voice assistants, customer support AI, speech recognition (STT), text-to-speech (TTS), LLM training, search systems, recommendation engines, and AI knowledge bases (RAG systems).
We use a multi-layer QA system, including multi-pass validation, structured review workflows, and consistency checks across datasets to ensure high-quality, AI-ready outputs.
Yes. We specialize in real-world conversational datasets, including code-switched language (e.g., Tagalog-English, Cebuano-English) and regional language varieties (e.g., Bangladesh Bengali, India Bengali), ensuring AI systems perform effectively in real user environments.
Yes. CCC has built and deployed teams of 100+ linguists across multiple languages and has processed hundreds of millions of words, enabling rapid scaling for large, multilingual AI datasets.
Yes. We are tool-agnostic and can work directly within your internal platforms or deliver structured outputs (e.g., CSV, JSON) compatible with your existing AI pipelines.
