Human ground truth for intelligent systems.
Veidus is building an opt-in human intelligence network designed to connect real-world experience with human intent, decisions, actions, corrections and outcomes.
Observation captures behavior. Ground truth gives it meaning.
Models trained only on observable behavior may be forced to infer answers the participant already knows.
From context to trajectories.
Visual context, audio context, location, movement, time and environmental state.
Navigation, tool use, human-object interaction, task execution and physical-world activity.
Intent, attention, preference, rationale, confidence, correction, satisfaction and memory.
Connected records of goals, choices, actions, feedback, failures, retries, corrections and outcomes.
Some labels cannot be reliably generated after the fact.
The person experiencing an event can provide ground truth about intent, attention, preference, rationale, satisfaction, memory and outcome that passive observation must otherwise attempt to infer.
The participant supplies information observation alone cannot reliably reconstruct.
Perfect demonstrations show success. Recovery trajectories show learning.
Errors can expose incorrect assumptions, missing information, recognition, adaptation and recovery strategy. Those transitions can be valuable signals for systems that must operate beyond ideal demonstrations.
Ground truth for understanding human goals, decisions and outcomes.
Human Intent
What was the participant trying to accomplish?
Preference
Which options mattered, and which were preferred?
Decision Rationale
Why was one path selected over another?
Task Execution
How did a person progress through a physical or digital objective?
Error & Recovery
What failed, how was it recognized, and what changed next?
Human + AI Collaboration
How did assistance affect subsequent human action and eventual outcome?
Outcome & Satisfaction
Did the decision or action produce the intended result?
Memory & Recall
What did participants intentionally want to retain or recover?
Real-World Reward Signals
Which outcomes represented progress, success, correction or failure?
Need data that does not exist yet?
Veidus is developing relationships around defined real-world tasks, environments, behaviors and ground-truth requirements for AI, robotics, autonomous systems and research.
Participation is opt-in. Provenance and permitted use are part of the data.
Our Approach to Trust