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Furriq vs cognira

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

Furriq compared with cognira
DetailFurriq logo Furriqcognira logo cognira
What it doesAI cat breed identifier from photos Self-learning AI that learns from your chats and runs on a single iMac
StageNot given Startup
FoundedNot given 2026
Based inNot given GB
Pricing modelFreemium Freemium
PricingFree: 1 guest scan, no account required. Paid plans: 15 credits for $2.99 ($0.20 per scan), 30 credits for $4.99 ($0.17 per scan), 80 credits for $9.99 ($0.12 per scan), 200 credits for $19.99 ($0.10 per scan). Credits never expire. Registered users get 1 free scan daily. Free: £0/forever with 25K tokens/week. Pro: £15/month with 500K tokens/week. Max: £30/month with 2M tokens/week. API: £1.50 per 1M tokens, minimum £5 top-up.
Key features
  • Analyzes 40+ visual markers including coat pattern, color, face shape, ear type, body structure, and eye color
  • Local quality check before sending photos to server
  • Photos not stored by default
  • No sign-up required for first scan
  • Permanent scan history for registered users
  • One-time credit packs that never expire
  • Breed comparison chart showing size, coat, eyes, and temperament
  • Free bulk access for shelters and rescue groups
  • Private memory that works immediately when you teach it
  • Verified shared knowledge with public rejection ledger
  • Local MLX inference not forwarded to external API
  • cognira Entity for local on-device AI with optional weight retraining
  • OpenAI-compatible API endpoint
  • Served from single 16GB iMac not a GPU cluster
  • Background learning loop with safety filtering
  • Chat history, pinning, and search
  • One-tap Forget button to remove memories
  • No ads and no data sales
What makes it different
  • Honest uncertainty over false certainty in every result
  • Transparent about limitations and not claiming DNA-level proof
  • Free for animal shelters, rescue groups, and adoption agencies
  • Self-learning from user chats with verified public ledger of what stuck
  • Runs on one iMac not a GPU cluster with measurable low energy use
  • Independent model served directly, not a wrapper around external API
  • Immediate private memory plus verified weight updates to shared knowledge
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)18 +1 (up) since last check20 +7 (up) since last check
Trust Flow (Majestic)190
Citation Flow (Majestic)2423
Referring domains (Majestic)6544

5 details filled in for both companies.

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