Voluntas Tech
01
Shed light on what’s real — and what isn’t.

TRUE OR FALSE

Voluntas Tech helps you verify AI-generated media with invisible watermarks, detection pipelines, and survivability evidence.

Voluntas Tech
We are onboarding pilot teams. If you want to test DeadMark and DeadDetect in your workflow, contact us.

Why this matters

AI-generated media is now mainstream. Verification needs more than a model score; it needs provenance you can inspect.

We focus on a simple outcome: true or false, backed by evidence, so humans can decide what to trust.

What we show
  • Invisible watermark proof (present / uid / confidence)
  • Evidence overlays for images
  • Video timeline plus frame evidence (first and last frame)
  • Audio evidence strip (heatmap and waveform)
  • Text/code watermark preview plus no-watermark AI-origin fingerprint view
This demo preview focuses on output clarity. For implementation detail, request a technical walkthrough with your assets.
C2PA manifest traceDeadMark UID watermarkInternal decode logs
Original demo mountain image
Watermarked demo mountain image
Original
Slide to reveal the watermarked image
Detection overlay (demo UI)
Watermark detected
UIDDMK-IMG-9A72-1F3C
Confidence98.6%
Integrity health96 / 100
C2PA manifestRecovered
Decode logApp log + timestamp chain
Trace + provenance
C2PA manifestIntegrated trace
DeadMark UID watermarkPrimary signal
Decode logs + timestampsInternal audit trail

If C2PA is stripped, UID + internal logs still support source verification workflows.

Example generation + detection metadata
Model: FLUX.1 Pro (demo metadata label)
Prompt: "Mountain valley with snowy peak, pine forest foreground, cinematic daylight realism."
Generated by: @demo_creator_17 * IP 198.51.100.24
Detected on: Instagram repost by @sample_repost_account * 2026-02-24 18:41 UTC
Dots only show evidence locations in the UI. They are not visible watermark pixels. Placement and strength are ML-adaptive per asset.
Workflow note: C2PA + internal verification

We use C2PA when available and pair it with UID watermark + decode logs, so verification is not dependent on metadata alone.

Roadmap signal

Text/document/code workflows were started early and are now shown in preview UI. Deep Scan no-watermark AI-origin is in active development.

Text + code preview

Text, docs, and code watermarking

DeadMark is expanding beyond image/video/audio with one API and format-aware profiles for text workflows. The target is practical survivability through copy/paste, spacing changes, and light reformatting.

Text detection preview
ChatGPT sample (demo)
"Daily operations update: all three service regions are stable after maintenance. Throughput is back to normal and alert volume remains low."
Detection overlay: UID DMK-TXT-7D1A-29F4 * confidence 96.8% * integrity 92 / 100 * recovery: spacing-normalized path.
Messaging
Chat apps, short posts, comments
Plain text
TXT, Markdown, structured text
Documents
DOCX, PDF text layers, exports
Code
Repositories, snippets, generated files
Code detection preview
Claude Code sample (demo)
export function scoreRisk(input: string): number {
  const normalized = normalizeText(input);
  const entropy = estimateEntropy(normalized);
  return Math.min(100, Math.round(entropy * 37));
}
Detection overlay: UID DMK-CODE-11C8-5AE2 * confidence 97.2% * integrity 94 / 100 * recovery: structure-preserved path.
Output model: present / uid / confidence / recovery status.
AI-origin estimation (no watermark, media) - Deep Scan in development
Model-signal attribution
Media-generation signal hints
Diffusion residual texture patternHigh
Temporal synthesis cadence patternMedium
Generative audio texture patternMedium
Model confidence
DALL-E family82%
Kling family74%
Seedance family69%
Deep Scan no-watermark attribution is media-focused (image, video, audio). This block is model-family confidence output, not watermark decode output.

Ready to build trust into your media pipeline?

If you are a platform, newsroom, or product team, we can tailor a demo to your workflow.