Fractal

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 API
  • Cut time to production
    Leverage enterprise-level technologies
    to deploy pre-trained models in a few clicks
  • Update 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.

Scheme
  • 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?
Talk to us

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.

Explore other models available to you on our model podium at Toloka ML Platform
Explore more models

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
Let us show you how

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
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FAQ about
adaptive
auto ML