People and data.
Across your AI workflow.

Purpose-built datasets, captured around your task and the conditions that matter.

Images, video, and first-person recordings collected against a defined brief. Human demonstrations and platform-specific recording protocols for embodied AI. Language, audio, and structured responses from contributors matched to the task.

Structured labels and human review that keep the details connected to their source.

Segmentation, object tracking, and spatial labels for image and video datasets. Temporal events, grounded question-answer pairs, and descriptions connected to visual evidence. Review existing labels, resolve ambiguous cases, and document corrections.

Human judgments, grounded evidence, and failure analysis for training and evaluation.

Assess visual answers and predictions against task-specific criteria and supporting evidence. Human preferences, success judgments, and progress labels for post-training and reinforcement learning. Categorize difficult cases and build a separate evaluation set for the next iteration.

Human assistance for supported robot workflows, with every intervention connected to its context.

Help resolve supported autonomy exceptions through the customer's approved controls and procedures. Scope operator-led tasks against a specific platform, interface, and operating environment. Capture intervention context, actions, and outcomes for review and future dataset development.

Our focus is visual intelligence and robotics. Text, audio, multilingual work, and software-task data can also be scoped where the right workforce and review process are available.

Share the intended use, an example, and the format you need. We’ll establish feasibility and a pilot scope before proposing ongoing capacity.