Keylabs - 2026 Pricing, Features, Reviews & Alternatives

Keylabs is an enterprise-grade data annotation platform designed to help AI teams build high-quality datasets for machine learning and next-generation AI systems. Supporting image, video, text, 3D, and multimodal data, Keylabs enables organizations to develop and scale solutions across computer vision, large language models (LLMs), robotics, and embodied AI.

The platform provides a comprehensive set of annotation tools, including bounding boxes, semantic and instance segmentation, polygons, keypoints, cuboids, and advanced text labeling workflows. It is well-suited for complex use cases such as autonomous systems, physical AI, and robotics, where models must understand and interact with real-world environments. Keylabs also supports dataset creation for vision-language models (VLMs) and vision-language-action (VLA) systems, enabling training of AI that connects perception, reasoning, and action.

Keylabs combines automation with human-in-the-loop workflows to ensure both efficiency and accuracy. Features such as model-assisted labeling, pre-annotation, and intelligent task distribution accelerate dataset creation, while customizable quality assurance pipelines maintain consistency across large-scale projects. Teams can configure validation rules, multi-stage reviews, and feedback loops tailored to specific model requirements.

Designed for collaboration and scalability, Keylabs offers role-based access control, project management tools, and real-time tracking of annotation progress and quality metrics. Distributed teams can work within a unified environment, allowing organizations to scale from pilot projects to enterprise-level AI data operations.

The platform integrates seamlessly with existing ML and MLOps pipelines through APIs and flexible data formats, ensuring smooth transitions from data annotation to model training and evaluation. In addition, Keylabs includes dedicated capabilities for text annotation, reinforcement learning from human feedback (RLHF), and evaluation of LLM and agent behavior, supporting the development of safe, reliable, and production-ready AI systems.

With its combination of advanced tooling, scalable workflows, and support for emerging AI paradigms, including LLMs, VLMs, robotics, and embodied AI, Keylabs empowers organizations to accelerate development, improve model performance, and maintain full control over their data pipelines.

Keylabs is built with a strong focus on data security and compliance. The platform adheres to GDPR requirements and is supported by ISO 27001:2014 and ISO 9001:2015 certifications, ensuring high standards of data protection, quality management, and operational reliability. As part of the NVIDIA Inception Program, Keylabs continues to innovate and support cutting-edge AI development for enterprise teams worldwide.