VEIDUS DATA

Human ground truth for intelligent systems.

Veidus is building an opt-in human intelligence network that connects real-world experience with participant-provided intent, decisions, actions, corrections and outcomes.

THE DATA GAP

Observation captures behavior. Ground truth explains intent, choice and outcome.

Passive observation can show what occurred, but it often cannot reliably determine what a person intended, noticed, preferred, corrected, or considered successful.

The person experiencing an event can provide ground truth that observation alone cannot reliably reconstruct.

DATA HIERARCHY

From context to human decisions and outcomes.

01
Environmental Context

What was happening?

02
Egocentric Activity

What was the person doing?

03
Human Ground Truth

Intent · attention · preference · rationale · correction · satisfaction

04
Decision & Outcome Trajectories

Goals · actions · feedback · retries · outcomes · reward signals

DECISION & RECOVERY TRAJECTORIES

The outcome matters. The path explains how it was reached.

Goal → Observation → Action → Outcome
RECOVERY
Attempt → Failure → Feedback → Adjustment → Retry → Outcome

Successful demonstrations show what worked. Recovery trajectories can show error recognition, feedback, adaptation and the route from failure to success.

CUSTOM DATA PROGRAMS

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