Build AI systems that understand speech, faces, and video.
AI FaceLab helps companies and developers train and validate computer vision, voice processing, and custom language models with real-world data.
AI that learns from real data
We build AI systems trained on real-world data. Our team collects, validates, and tests your models with actual people and scenarios.
Computer vision
Train systems to analyze faces, gestures, and video interactions with real participant data collection.
Voice processing
Build speech recognition and audio analysis models trained on diverse participant recordings and real conversational data.
Custom language models
Fine-tune language models for your specific domain using curated datasets and real-world validation testing.
Trusted by developers and companies
See how businesses use AI FaceLab to build and validate AI systems that work in the real world.
AI FaceLab helped us collect high-quality training data for our facial recognition system. Their process with real participants made a significant difference in our model's accuracy.
Alex Petrov
ML Engineer, Computer Vision Startup
The voice processing data we collected through AI FaceLab was exactly what we needed. Their team understood our requirements and delivered clean, usable recordings for training.
Marina Sokolova
Product Lead, Voice AI Company
Working with AI FaceLab streamlined our data collection process. The instruction-based video approach gave us consistent, reliable data for our language model validation.
Igor Volkov
CTO, NLP Solutions Provider
Their hands-on approach to real-world testing helped us identify edge cases we missed in development. The quality of their participant interactions was outstanding.
Ekaterina Kozlov
Founder, Computer Vision Consultancy
Proven results from real-world AI training
AI FaceLab has built and validated AI systems with data from hundreds of participants. Our methods deliver production-ready models for computer vision, voice, and language.
500+
Participants trained
Real people recording video data that trains AI systems for actual use cases.
3
Core specializations
Computer vision, voice processing, and custom language models built from the ground up.
100%
Real-world validation
Every model tested with actual participants and edge cases before deployment.