1. Capture
Glasses, phone apps, simulators, and media uploads provide authorized audio, video, image, and device-state events.
Private testing campaign
Smart glasses for accountable integrity review.
Veracity Integrity Vision is a consent-first testing platform that pairs smart glasses, media-quality checks, behavioral signal review, and human oversight for interviews, compliance, field documentation, and high-stakes conversations.
What it does
A review system for signals, not a magic verdict.
Veracity Integrity Vision is designed to help reviewers understand what was captured, whether the media is usable, how confidence changes over time, and what still needs human judgment. It turns smart-glasses capture and uploaded media into structured review sessions with consent, provenance, uncertainty, and validation records.
- Consent-gated session setup before analysis.
- Audio, image, video, and smart-glasses event intake.
- Quality checks for lighting, blur, face visibility, duration, and audio usefulness.
- Human-review exports with limitations, audit events, and provenance.
- Research adapters for DOLOS, cross-domain DD, MMDD, and bias-control testing.
Now in testing
The current release is built for controlled pilots.
This is not being introduced as finished consumer hardware. The platform is in structured testing: the backend, adapters, media review workflow, research controls, and staging surfaces are being hardened before field sessions move into broader pilots.
2. Gate
Consent status and media quality are checked before any behavioral review or model adapter is allowed to proceed.
3. Validate
Research adapters and bias controls test whether a model generalizes beyond one dataset or shortcut.
4. Review
The output is a documented review package, not an accusation: confidence, limits, provenance, and human next steps.
Wearable direction
Built around smart glasses, with the heavy analysis kept private.
The glasses are the operator surface. The private backend is the analysis and audit layer. That separation keeps the wearable interface simple while giving the platform room for consent policy, storage controls, validation gates, and review exports.
Primary target: Brilliant Labs Halo
Halo is the first intended hardware target because it combines display, camera, microphones, speaker output, Bluetooth, motion inputs, and a Lua-capable firmware environment. The testing goal is short, safe status prompts such as consent active, quality low, review ready, or human review required.
Future adapter targets
Expected future profiles include Brilliant Labs Frame, Brilliant Labs Monocle, Mentra Live, and other open smart-glasses platforms that expose lawful capture APIs, device-state reporting, secure controls, and consent-aware workflows.
Early promotional video
See the original smart-glasses vision.
The early promotional video shows the direction: a glasses-based interface that makes integrity review more immediate, more contextual, and more accountable. The current testing platform is turning that concept into a safer backend, adapter, and validation workflow.
Campaign-style roadmap
What the testing campaign is proving.
The next phase is about disciplined proof, not hype. The goal is to prove that the software can capture the right context, preserve privacy, detect poor inputs, document uncertainty, and route sensitive results back to human review.
Private backend
Run the API privately with authentication, rate limits, health checks, audit records, and rollback-tested deployment.
Hardware proof
Connect signed Halo and Mentra capability reports, then expand simulator-backed tests into controlled device sessions.
Research gates
Execute validation adapters for cross-domain behavior, multimodal fusion, and bias controls before non-mock outputs are trusted.
Pilot review
Invite selected testers and organizations to review workflows, outputs, limitations, and policy requirements.
Where this fits
Designed for teams that need better review signals.
Interviews and investigations
Document consent, media quality, signal confidence, and review state during structured conversations.
Compliance and risk
Support sensitive internal reviews with provenance, limitations, and repeatable session records.
Training and coaching
Analyze conversation quality, baseline shifts, stress indicators, and review-readiness without reducing people to a single score.
Help test the next integrity interface.
Veracity Integrity Vision is moving through private testing with an emphasis on safety, consent, media quality, and human review. Early testers, technical partners, and organizations can request pilot access or review the current prototype direction.
Responsible use
Important limits.
Veracity Integrity Vision is a decision-support and review platform. It is not a standalone lie detector, medical device, legal verdict engine, or replacement for trained human judgment.
- Outputs should be treated as signals with uncertainty, not proof.
- Consent, policy alignment, jurisdictional review, and human oversight are required for real deployments.
- Research validation and bias controls remain part of the required test path before non-mock model outputs are trusted.