AI Data Collection to Power Innovation
AI and ML models require large volumes of AI training data. As AI adoption increases so does the need for novel datasets to address unique scenarios. Collect data from reputable sources to ensure your models learn from diverse, high-quality inputs and deliver accurate and effective performance across varied applications.
How is AI training data gathered?
AI training data often comes from off-the-shelf datasets, structured knowledge bases, or crowdsourced human contributions. While pre-existing datasets can address various needs, many companies require custom data for training their models. After collecting raw data, data annotation helps models recognize patterns and improve prediction accuracy.
AI Data Collection Services
Remote collections
On-site collection
Device collections
Location & Point-of-Interest
Off-The-Shelf (OTS)
Data for Every Use Case
Augmented and Virtual Reality AI Data: Powering the Next Big Thing
Augmented reality and virtual reality (AR/VR) are two promising technologies that businesses are keeping an eye on. In fact, nearly three-quarters of industry leaders report
How to Approach Data Collection for Conversational AI Agents
Deliver a high-quality customer experience by training your conversational AI chatbots and phone systems on relevant human data and evaluating performance in real-world scenarios.
AI Solutions for the Automotive Industry
Leverage custom data collection and expert support to innovate in the automotive industry with reliable in-cabin speech recognition software, vehicle simulations, and autonomous vehicles.
Start collecting data today
With over 30 years of experience, Appen provides data collection services to improve machine learning and generative AI models at scale. Our global footprint allows our clients to quickly capture large volumes of high-quality, customized data.