Sigma AI is a global training data collection, labeling and annotation services company. For companies building generative AI, including 4 out of 5 global tech giants, Sigma provides highest quality training data at scale. To achieve this, we customize teams, processes and technology, iterating on all aspects of your project in constant feedback loops.  

Human in-the-loop is built into every step to establish ground truths, improve data quality and reduce bias. With 30+ years of experience in the AI space, the Sigma team brings their deep understanding of how data and algorithms interact to help companies train smarter AI that serves humans better.  

AI/ML

Data Center

Information Technology

IT Services

Sigma AI

Daniel Tapias

Jorge Rico

Carlos Marina Civera

Nuria Gomez Bermejo

Jesús Bernat Vercher, PhD

Bruno Stampete

Jesús Bernat

Antonio Hornero

The Data and AI Team at Sigma AI is responsible for managing the entire lifecycle of training data for AI systems. This includes data collection, labeling, and annotation, with a focus on ensuring high-quality datasets through human-in-the-loop processes. The team leverages its expertise in computer vision, natural language processing (NLP), and big data validations to iteratively enhance data quality and reduce bias. They work closely with clients to customize and optimize AI training data, ultimately helping companies develop smarter AI solutions that better serve human needs.

Data and AI Team

Project Management Team

Data Transcription and Annotation Team

Data and AI Team

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Other teams at Sigma AI

Project Management Team

Data Transcription and Annotation Team