Adaptive AutoMLAdaptive AutoMLAdaptive AutoML
Tune better models faster
Tune ML models to your data streams and automatically retrain them on the latest data in a few clicks.
Tune ML models without coding
Forget about hiring an ML engineering team.
Tune custom models from the browser or APICut time to production
Leverage enterprise-level technologies
to deploy pre-trained models in a few clicksUpdate models with new data
Automatically retrain and monitor models
when new data arrives
How adaptive models work
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.
- Reliable accuracy
Benefit from background human-in-the-loop processes that
keep model accuracy stable over time - Continuous optimization and retraining
Model evaluation and maintenance use HITL processes
for model retraining and updates - No infrastructure needed
Easily deploy intelligent services without investing in infrastructure and tedious ML experimentation processes. Available via API with low latency for model predictions
- Ground truth datasets within easy reach
Integration with the Toloka data labeling platform lets you build ground truth datasets to use for model tuning and measuring model performance during production
Need a custom solution tailored to your needs?
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Powerful models for relevant solutions
to real-world problems
Use our pre-trained models out of the box or adapt them to your data streams automatically.
Try this modelSentiment Analysis
Classifies text content into 3 classes — positive, negative, and neutral
Try this modelSpam Detection
Handles classic spam content classification. Easily tuned to your data streams
Try this modelText Moderation
Detects problematic content like spam, clickbait, hate speech, and profanity
Try this modelImage Moderation
Detects adult content, illegal content, copyright infringement, and other problematic images
Try this modelMultilingual Large Transformer
GPT-3-like model classifies and generates short texts in 12 languages
Try this modelOptical Character Recognition (OCR)
Extracts text from images in more than 40 languages
Try this modelSpeech-to-Text
Captures text from audio content in 13 different languages
Try this modelSemantic Similarity
Compares 2 texts based on similarity in meaning
Explore other models available to you on our model podium at Toloka ML Platform
Discover how adaptive models
can make an impact
Learn how solutions using adaptive machine learning models impact
social media monitoring (SMM) for a large IT corporation.
Want to see results like this? We can help you find the right solution
Next-level automation: MLOps with the Toloka ML platform
Build your own ML pipeline on the Toloka ML platform with support for the full ML lifecycle:
- experiment tracking
- dataset versioning including EDA tools
- model management with versioning and tagging
- visualizations, reports and diff tools
- Python API for access from any environment
Take advantage of native integrations of tracking metrics, Toloka data labeling, and pre-trained models.
Explore the Toloka ML platform