Create consistent AI influencers for photos, videos and UGC content in minutes
Expert data development for frontier AI
Stage
Not given
Established
Founded
Not given
2019
Based in
SG
Not given
Pricing model
Freemium
Contact for pricing
Pricing
Free trial available. Paid plans based on monthly credits: approximately 100 photos or 10-20 max-length videos for entry tier, up to 1,500 photos or 50-100 max-length videos for highest tier. Cost per credit: 19.0¢ for first plan down to 13.3¢ for highest volume plan. Extra credits available for 24¢
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Key features
Trait-based AI influencer builder with gender, ethnicity, age, body, skin tone, eye, hair options
AI clone from 1-4 personal photos for consistent face across all content
Batch generation of up to 32 photos per prompt with customizable aspect ratios
Talking videos with native audio generation in 40+ languages
Motion transfer to apply reference video movements while keeping face locked
Virtual try-on with garment upload and category selection
Reel recreation from breakout Instagram content with same beats and cuts
Photo editing with prompt-based changes to background, outfit and lighting
Full commercial rights to all generated content with no public model training
Access to frontier AI models continuously tested and deployed
Research-grade datasets with rubrics, reviewer guidance, difficulty tiers and eval slices
Custom data development for specific failure surfaces and use cases
Specialized agents built on expert data evaluated in real workflows
Benchmark-grade environments and evaluation harnesses
Provenance tracking with full audit trails for all labeled data
What makes it different
Same consistent face and identity across every photo, video and reel—not different faces each prompt
Full commercial rights to all generated content and AI models, with privacy locked to account
Instant results from simple trait selection or photo upload, no training or waiting
Multilingual video generation in 40+ languages with lip-sync matching
Research-driven data lab focused on quality and frontier-hardness rather than volume
Domain-specific benchmarks and evaluation environments built for real-world, high-stakes failures
Research methodology published and peer-reviewed with 200+ papers
Comprehensive data lifecycle from SFT to RL training to evaluation