Data Collection
Get data right. Exactly right
We are uniquely positioned to design, source, and collect exactly the right data to support machine learning, MT evaluation, and conversational AI deployments.
Quality datasets
We tailor every element of dataset design to serve your desired outcome.
Elements include: format, structure, resource selection, conversation prompts, and recording environment specifications.
Language & Synthetic Data
When applicable, we use proprietary tools to generate multilingual conversation scenarios, prompts, and placeholder data that’s appropriately formatted to each speaker’s region.
This yields high-naturality conversation data within the design and bypasses the privacy risks of using real-world data.
Human Resourcing in AI
Our global supplier network can find needle-in-a-haystack speakers who meet precise experiential, linguistic, geographic, and demographic specifications, yielding highly natural content that accurately represents conversations of interest to our clients’ data scientists.
Quality Data Collections
Our data scientists closely monitor data collection for compliance with project- and conversation-specific requirements. Close supervision enables us to take corrective action quickly, without risking delays or expensive rework, and to document incidents that might impact data quality.
Customized AI Tools
Our proprietary workflow management tools prepare collected files for segmentation, translation, annotation, and quality review processes, systematically ensuring final datasets are free of errors that could affect machine performance.
AI Data Services
Speech Services
Conversational AI
MT & NLP Solutions
Image & Location