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AI RESEARCH

Use models to research. Validate the results.

Choose features and model presets, run training and evaluation, then compare candidates. Model output is research evidence, not a return promise.

  1. 01Select features
  2. 02Choose models
  3. 03Validate
  4. 04Compare results
01

Core capabilities

Review inputs and evaluation evidence at each step.

01

Model presets & feature library

Start from 13 model presets and 30 built-in feature indicators, then adjust inputs for your task.

02

AutoML tuning

Search hyperparameters and compare candidates. Check training and out-of-sample results before using them.

03

Isolated training containers

Training and backtest jobs run in isolated environments, with their own status and results.

04

Explainability & model registry

Inspect feature contributions where supported, and compare available versions in the model registry.

AI training and AutoML access depend on your current plan or trial eligibility. Check available quotas in the product.

Start with a question you can test.

Sign up to see available models and research quotas before starting an experiment.

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