Tune ML models to your data streams and automatically retrain them on the latest data in a few clicks.
Skip the repetitive steps in the ML lifecycle — let our automated service handle model tuning, evaluation, deployment, and monitoring.
Our adaptive ML models are backed by Toloka expertise in crowd science and machine learning for high quality and throughput.
Benefit from background human-in-the-loop processes that
keep model accuracy stable over time
Model evaluation and maintenance use HITL processes
for model retraining and updates
Easily deploy intelligent services without investing in infrastructure and tedious ML experimentation processes. Available via API with low latency for model predictions
Integration with the Toloka data labeling platform lets you build ground truth datasets to use for model tuning and measuring model performance during production
Use our pre-trained models out of the box or adapt them to your data streams automatically.
Classifies text content into 3 classes — positive, negative, and neutral
Handles classic spam content classification. Easily tuned to your data streams
Detects problematic content like spam, clickbait, hate speech, and profanity
Detects adult content, illegal content, copyright infringement, and other problematic images
Multilingual Large Transformer
GPT-3-like model classifies and generates short texts in 12 languages
Optical Character Recognition (OCR)
Extracts text from images in more than 40 languages
Captures text from audio content in 13 different languages
Compares 2 texts based on similarity in meaning
Learn how solutions using adaptive machine learning models impact
social media monitoring (SMM) for a large IT corporation.
Build your own ML pipeline on the Toloka ML platform with support for the full ML lifecycle:
Take advantage of native integrations of tracking metrics, Toloka data labeling, and pre-trained models.Explore the Toloka ML platform