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Kennmarq vs Linum

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Kennmarq compared with Linum
DetailKennmarq logo KennmarqLinum logo Linum
What it doesWatermarks and signed Content Credentials for AI images, video and audio Generative video models for animation
StageNot given Not given
FoundedNot given Not given
Based inCH US
Pricing modelFreemium Not given
PricingFree: 1,000 marks/month, 1 GB data, 10 API calls/minute. Indie: $9/month or $90/year (20,000 marks/month, 20 GB data, 60 calls/minute). Startup: $39/month or $390/year (150,000 marks/month, 150 GB data, 300 calls/minute). Scale: $149/month or $1,490/year (1,000,000 marks/month, 500 GB data, 1,000 ca Not given
Key features
  • Middleware integration with Vercel AI SDK
  • Invisible watermarks on all marked content
  • Signed and time-stamped Content Credentials
  • Support for images, audio and video
  • Works with any AI model
  • Preserves existing provider credentials
  • JavaScript and Python SDKs
  • ComfyUI node support
  • Compliance receipts per jurisdiction
  • Safety check for marked content
  • Pyramid-JiT (P-JiT) architecture with 32×32 token reduction
  • 4× more aggressive token reduction than Linum v2
  • Converges in 11× fewer samples than Linum v2
  • 2B-parameter model with frozen Qwen text encoder
  • Pixel-space diffusion with multi-resolution readouts
  • PixelREPA alignment with DINOv3-L
  • Curriculum learning over noise schedule
What makes it different
  • Covers EU AI Act, California, Washington, Utah and other jurisdictions with single middleware
  • No need to obtain own C2PA certificate
  • Transparent pricing with same features across all plans
  • Data stored and backed up in Switzerland
  • Test keys with separate allowance don't consume live marks
  • Low-cost training: full 2B model trained for just $21K in compute
  • Controls baked into model training rather than post-hoc fine-tuning
  • Pixel-space compression without separate VAE bottleneck
  • Apache 2.0 open release with full model weights and code
Free planNot given Not given
Open sourceNot given Not given
PlatformsNot given Not given
Public APINot given Not given
Community votes00
DR (Domain Rating by Ahrefs)7 +7 (up) since last check44 +1 (up) since last check
Trust Flow (Majestic)05
Citation Flow (Majestic)1332
Referring domains (Majestic)1397

4 details filled in for both companies.

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