A Scalable, Transparent Alternative to Scale AI

Many AI teams look for alternatives to Scale AI when they need more flexibility, clearer communication, or predictable long-term pricing. DataVLab provides a human-centered, transparent approach to dataset creation, designed for startups and enterprise AI teams that require high-quality labels without rigid vendor structures.We specialize in complex image, video, and multimodal annotation across industries such as robotics, healthcare, smart cities, autonomous systems, geospatial mapping, and retail analytics. Instead of a black-box pipeline, you work directly with a dedicated annotation team, clearly defined QA stages, and communication that adapts to your project’s evolution.DataVLab is built on ethical labor practices, long-term annotator retention, and structured oversight. Our focus is on maintaining quality over time, adapting to changing ontologies, and giving clients visibility into the workflow not just the final output. We support both rapid prototype labeling and multi-month, large-scale annotation programs requiring trained annotators and EU-only staffing options.Whether you’re moving away from Scale due to cost, flexibility, quality variation, or data sensitivity, DataVLab is structured to provide a stable, high-care alternative that integrates seamlessly with your model development cycles.