Perle AI provides expert-in-the-loop data annotation and training services to accelerate AI model learning for enterprises. The company leverages a vetted network of domain experts to deliver precise, multi-modal data labeling and human feedback for model alignment and safety. Their modular platform offers flexible workflows and quality assurance to ensure high-quality training data for rapid AI iteration.
Funding
$7M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
CFounders
Product
Problem
AI model training requires large volumes of accurately labeled data, but obtaining this data is often expensive, slow, and difficult to scale, hindering the timely development of AI projects. Existing data labeling solutions may lack the domain expertise needed for high-quality annotations, leading to inaccurate models and unreliable AI systems.
Solution
Perle provides a modular AI training data platform that leverages a vetted global network of domain experts to deliver high-quality data labeling, annotation, and reinforcement learning from human feedback (RLHF). By combining human intelligence with innovative technology, Perle ensures precise and reliable input for AI models, optimizing data quality and accelerating AI development. The platform offers customizable solutions to meet unique project needs, enabling businesses to build more reliable AI systems and gain a competitive advantage.
Target Audience
Perle serves AI product teams across various industries who require high-quality, scalable data labeling and annotation services to train and maintain their AI models.
Features
- Access to a diverse pool of vetted subject matter experts across 70+ countries, including linguists, doctors, engineers, and legal experts
- Customized training programs for raters to ensure expertise and precision
- Modular solutions for data labeling, data enrichment, and adversarial robustness
- Advanced quality control features to ensure accuracy and consistency
- Support for multi-modal AI models
- Tools for data discovery, compliance, versioning, bias auditing, and drift detection