Aris offers a multimodal data collection platform that generates human-verified datasets for AI development. Their global network of contributors and proprietary mobile applications enable efficient, large-scale acquisition of tailored data, accelerating model training and reducing bias.
Funding
Funding not disclosed
Founders
Product
Problem
The development of advanced AI models is hindered by the difficulty in acquiring large-scale, high-quality, and diverse datasets. Traditional data collection methods are often slow, expensive, and struggle to capture the nuanced, real-world data required to minimize bias and maximize model accuracy across various applications.
Solution
Aris provides a multimodal data collection platform that leverages a global network of contributors to generate human-verified datasets tailored for AI development. The platform enables user-defined data capture, facilitating the acquisition of specific data types such as images, audio, and spatial information from real-world scenarios. By utilizing a proprietary suite of mobile applications, Aris engages a diverse user base to collect data efficiently and at scale. This approach ensures that AI teams receive fit-for-purpose data, thereby accelerating model training, reducing bias, and improving the real-world performance of AI systems.
Target Audience
The primary customers are AI development teams, machine learning engineers, and data scientists across various industries, including technology, automotive, and retail, who require specialized datasets for model training and validation.
Features
- Multimodal data capture capabilities including images, video, audio, speech, and spatial data.
- User-defined data collection workflows with granular customization options.
- Proprietary mobile application network for engaging a global contributor base.
- Data quality assurance processes including human verification and bias mitigation strategies.
- Scalable data acquisition infrastructure to support large-volume dataset generation.
- Support for diverse data types such as conversational data, receipt scans, and behavioral data.
- Tools for collecting geo-targeted and contextually relevant data.
- API integrations for seamless data delivery and workflow management.