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ShieldLabs vs MotionAnalytics

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

ShieldLabs compared with MotionAnalytics
DetailShieldLabs logo ShieldLabsMotionAnalytics logo MotionAnalytics
What it doesFraud detection and prevention for web apps that detects account abuse and bots under any masking Identify people by how they move using biomechanical AI, even when faces aren't visible
StageStartup Not given
Founded2025 Not given
Based inUS IL
Pricing modelFreemium Not given
PricingFree tier with 5,000 identifications. Paid plans: Starter $99/month for 25,000 identifications (monthly billing) or $79/month billed yearly; Growth $399/month for 150,000 identifications (monthly) or $319/month billed yearly; Scale $999/month for 500,000 identifications (monthly) or $799/month bille Not given
Key features
  • Device fingerprinting to recognize devices and detect headless browsers and tampering
  • Multi-accounting detection starting at three accounts per visitor
  • Risk scoring from 0 to 100 with signal breakdown
  • Bot and AI traffic detection with browser automation signals
  • IP geolocation and real IP address revelation behind masking
  • Traffic quality scoring by source, channel, referrer, and UTM campaign
  • Dashboard, API, and webhooks for results delivery
  • Five-minute integration with JavaScript snippet or supported SDKs
  • Identify known people from video galleries or watchlists
  • Determine if two videos show the same person
  • Re-identify people within and across videos
  • Works with low-resolution video and long distances
  • Functions despite occlusions, masks and appearance changes
  • Analyzes ground camera video feeds
  • Does not rely on facial recognition
  • Standalone deployment, integration, or OEM embedding options
What makes it different
  • 99.9% identification accuracy and 99.9% risk signal detection accuracy across 300+ signals
  • Ready-made High-Risk Event detection requires no custom fraud model training
  • Explainable risk scores showing which signals fired and their weights
  • Self-serve five-minute onboarding with no procurement or sales cycle required
  • Based on 20+ years of biomechanics research from Ben-Gurion University
  • Requires only a few usable walking steps to create a biomechanical signature
  • Works without facial recognition where other systems struggle
  • Founded by researchers with 20+ years biomechanics expertise and successful startup founders
Community votes00
DR (Domain Rating by Ahrefs)39 −1 (down) since last check10 +3 (up) since last check
Trust Flow (Majestic)156
Citation Flow (Majestic)377
Referring domains (Majestic)24021

4 details filled in for both companies.

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