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Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.

Flame Analytics logo
Flame Analytics
✓ verifiedPaid

Privacy-first AI video analytics for stores and venues, measuring traffic, conversion, dwell time, and occupancy from existing CCTV.

36K visits/mo
Pixellot logo
Pixellot
✓ verifiedPaid

AI-automated multi-camera system for capturing, streaming, and analyzing live sports broadcasts for clubs and leagues.

184K visits/mo
Syncly logo
Syncly
✓ verifiedFreemium

AI social-listening and customer-feedback platform that tracks brand mentions, creators, and sentiment across video-first social platforms.

19K visits/mo24K saves
Boost.space logo
Boost.space
✓ verifiedPaid

Data-foundation platform unifying product, customer, and order data via 2,600+ integrations to power AI agents for e-commerce ops.

95K visits/mo
True ROAS logo
True ROAS
✓ verifiedFreemium

Multi-signal ad attribution platform for e-commerce that triangulates tracking, surveys, and marketing-mix modeling to reveal true ROAS.

15K visits/mo
Pricing

No public pricing

No public pricing

No public pricing

No public pricing

Basic: Free/mo (first $10k tracked revenue free)
Pro: $39/mo (full CAPI coverage, 14-day free trial)
Premium: from $10,000/mo revenue tier
True Horizon: from $449/mo

Free trial available

Core features
  • AI people counting (no biometrics)
  • Conversion analytics cross-checked with POS
  • Customer journey and heatmaps
  • Real-time occupancy and queue analytics
  • Guest WiFi capture and marketing
  • Customizable dashboards, 200+ KPIs
  • AI-automated camera-based game capture across 19 sports
  • Automatic multi-camera production, including a dedicated baseball/softball solution
  • White-label OTT streaming platform for fans and subscribers
  • Automatic highlight generation
  • Game analytics and performance tracking for coaches
  • Portable camera option for smaller venues
  • Cross-platform social listening including video (TikTok, Reels, Shorts)
  • Competitive analysis of rival brands' content and creators
  • Speech-to-text and AI vision analysis of video content
  • Plain-language query interface for filtering data
  • Creator discovery and campaign tracking
  • Centralized customer feedback intake with AI tagging and sentiment
  • MCP connector for using data inside Claude/ChatGPT workflows
  • 2,600+ native integrations
  • Two-way data synchronization
  • Unified single-source-of-truth database
  • Ready-to-deploy AI agents (PIM, pricing, enrichment)
  • Sits under automation tools (Make, Zapier, n8n)
  • Enterprise security (ISO 27001, SOC 2, GDPR)
  • Server-side conversion tracking sent back to Meta and Google Ads
  • Triangulated attribution using tracking, surveys, and AI modeling
  • Unified ads manager across Meta, Google, and TikTok
  • Customer journey and multi-touch reporting
  • Incrementality/lift measurement and budget scenario planning
  • MCP integration exposing attribution data to Claude and ChatGPT
Use cases
  • Measuring footfall and conversion in stores
  • Optimizing mall tenant mix and layout
  • Activating marketing via guest WiFi
  • Streaming high school or college games without a video crew
  • Generating automatic game highlights for social media
  • Building a subscription streaming service for a sports league
  • Analyzing game footage to improve player performance
  • Consumer brands monitoring sentiment and share of voice on social video
  • Marketing teams finding and vetting influencer partners
  • CX teams unifying feedback from tickets, chat, surveys and reviews
  • Centralizing and cleaning product catalog data
  • Automating product enrichment and pricing
  • Syncing data across suppliers and channels
  • Powering AI agents on unified business data
  • Shopify stores wanting accurate ROAS after cookie/ID loss
  • Performance marketers deciding which ads to scale or cut
  • Agencies needing consolidated cross-platform ad reporting
  • Brands wanting AI-queryable attribution data
  • Teams running incrementality tests before big budget shifts
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