The social data your AI model is missing.
500M+ social media posts, 400B+ post reactions, 100M+ brand logos, and 50M+ spotted objects. Built over years by our PhD-led AI team. The most comprehensive digital dataset for sports and entertainment.
Social data → Model training pipeline
Live data flowing through our pipeline
Looking for analytics and tracking?
Check out Blinkfire.com for real-time social media analytics, trend tracking, and audience insights.
Dataset Categories
Five modalities. One comprehensive platform.
500M+ posts, 400B+ reactions, 100M+ logos, 50M+ objects. Built over years by our PhD-led AI team with proprietary computer vision. The most comprehensive digital dataset for sports and entertainment.
Text Data
Social and digital text data from leagues, teams, players, and sponsors in sports and entertainment. Includes captions, comments, hashtags, and conversation threads spanning back to 2014.
For LLM training in sports & entertainment
Image Data
High-resolution social images with brand logo detection, scene context, and multimodal alignment. Includes 100M+ verified brand logo samples with our proprietary computer vision engine.
Rich multimodal LLM data
Video Data
Short and long-form social video with transcripts, scene segmentation, and OTT viewership data. Years of anonymized OTT data including retention graphs and brand valuations per time slice.
OTT content with retention metrics
Annotated / Spotted Data
50M+ spotted objects including bounding boxes, brand logos, jersey numbers, and sponsor placements. Human-verified object detection built by our PhD-led AI team with patented computer vision engine.
Proprietary computer vision data
Broadcast Data
Live broadcast frames with OCR-extracted text from overlays, tickers, and scoreboards. Real-time tracking across 40+ sports, 170+ professional leagues, 2,800+ teams, 150,000+ players, and 1,800+ brands.
40+ sports, 170+ leagues tracked
Live Preview
See the data before you commit.
Browse a free sample of up to 10K records across each category. Enough to validate quality — then let's talk about the full dataset.
| ID | Platform | Content | Hashtags |
|---|---|---|---|
| txt-001 | What a match! @realmadrid absolutely dominated tonight. Vinicius Jr. with the hat trick... | #LaLiga #RealMadrid #Football | |
| txt-002 | X / Twitter | The NBA Finals Game 7 ratings just came in — 28.7M viewers. Basketball is back. | #NBA #NBAFinals #Basketball |
| txt-003 | TikTok | POV: You're watching Messi play live for the first time and you can't stop crying | #Messi #InterMiami #MLS |
| txt-004 | New sponsorship deal just dropped. @nike x @serena is going to change everything. | #Nike #Serena #Tennis #Sponsorship | |
| txt-005 | X / Twitter | Unpopular opinion: F1 sprint races are ruining the sport. The data backs this up... | #F1 #Formula1 #SprintRace |
What You Get
Rich, structured data. Not noisy web scrapes.
Every record is deeply annotated — entities extracted, sentiment scored, engagement metrics attached, brands detected. This is the data quality your training pipeline actually needs.
40+
Fields per record
6
Data modalities
Daily
Fresh data refresh
1{2 "id": "txt-384291",3 "platform": "instagram",4 "timestamp": "2025-12-14T18:32:00Z",5 "content": "What a match! @realmadrid absolutely dominated tonight. Vinicius with the hat trick, Bellingham controlling the midfield. This team is different. #LaLiga #HalaMadrid",6 "author": {7 "follower_count": 48200,8 "verified": false,9 "account_type": "fan"10 },11 "entities": [12 { "text": "Real Madrid", "type": "team", "confidence": 0.99 },13 { "text": "Vinicius Jr.", "type": "player", "confidence": 0.97 },14 { "text": "Jude Bellingham", "type": "player", "confidence": 0.95 }15 ],16 "hashtags": ["#LaLiga", "#HalaMadrid"],17 "language": "en",18 "sport": "football",19 "league": "La Liga"20}Use Cases
Your model is only as good as its training data.
Whether you're building a frontier model, a trading signal, or a prediction engine — social media data is the layer you're missing.
Blinkfire Analytics
Real-time social tracking and engagement analysis
The problem
Sports and entertainment organizations need real-time insights across multiple social platforms and hundreds of stakeholders.
Our data
Our AI tracks social posts from rights holders, teams, leagues, brands, and players across 7+ platforms in near real-time. 40+ sports, 170+ professional leagues, 2,800+ teams, 150,000+ players tracked daily.
Blinkfire Inventory Manager
Sponsorship and digital activation management
The problem
Brands and sponsorship teams need accurate pricing, performance metrics, and predictive valuations for sponsorship ROI.
Our data
Our digital activation dataset feeds a model of pricing and predictive pricing for campaigns and sponsorships. 1,800+ brands analyzed with anonymized activation data and brand valuation per time slice.
Multimodal LLM Training
Sports and entertainment domain-specific models
The problem
General LLMs don't understand sports and entertainment context. They miss league structures, player hierarchies, sponsorship ecosystems, and real-time events.
Our data
500M+ posts + 100M+ logo detections + 50M+ spotted objects + OTT viewership data. Built over years by our PhD-led AI team. Train models that truly understand sports and entertainment.
Broadcast & Live Event Data
OCR and real-time overlay detection
The problem
Live broadcast data is complex. Extracting scoreboards, sponsor logos, tickers, and event context requires sophisticated computer vision and real-time processing.
Our data
Our proprietary patented computer vision engine detects overlays, extracts OCR text from scoreboards, and identifies sponsor placements. Real-time processing of broadcast feeds across all major sports.
Historical Analysis & ROI Measurement
Learn from past campaigns and activations
The problem
Brands and rights holders struggle to measure sponsorship ROI across multiple seasons and platforms. Historical data is fragmented and hard to access.
Our data
Data spanning back to 2014. Track sponsorship performance, brand valuations, engagement trends, and campaign effectiveness over years. Unlock insights to position your team for the future.
Third-Party Licensing
AI assets for product development
The problem
Building sports and entertainment products requires access to deep, reliable, domain-specific datasets and AI models.
Our data
Blinkfire.ai offers comprehensive digital datasets and AI assets available for licensing. Our technology powers Blinkfire Analytics, Inventory Manager, and products in development. Partner with us to build better products.
Why Blinkfire AI
Everyone claims to have data. We prove it.
Not scraped. Earned.
We don't scrape public feeds. Blinkfire has direct data partnerships across 150+ sports and entertainment properties. This is first-party, licensed data.
Human + ML annotated.
Every dataset goes through our proprietary annotation pipeline — computer vision for detection, human reviewers for quality. 99.4% accuracy, verified.
Updated continuously.
Social data moves fast. Our datasets are refreshed daily with new content, engagement signals, and trend annotations. Your model stays current.
Compliance-ready.
All data is PII-scrubbed, GDPR-compliant, and delivered with full provenance documentation. Enterprise-grade licensing for model training.
The best AI teams are training on social data. Are you?
The models that win will be the ones with the best training data — not just more of it. Blinkfire AI gives you the signal in a sea of noise.
Get Started
Your next model deserves better data.
Stop training on noisy web scrapes. Get access to the largest annotated social media dataset built specifically for AI training.
Free sample available. Up to 10K records across any category — no commitment required.
Custom datasets. Filter by sport, league, platform, timeframe, or engagement threshold.
Enterprise licensing. Full provenance, GDPR-compliant, ready for commercial model training.
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