Learn
Tutorials
Guided walkthroughs of the real platform — each step is something you can actually do, and every tutorial links the docs page behind it.
Your First Data Synthesis Run
Generate your first batch of synthetic data and understand what the platform just did.
Data SynthesisBasics
Reading a Quality Report
Learn to interpret the evaluation report the way a skeptical reviewer would.
EvaluationQuality
Configuring Columns Correctly
The single highest-leverage skill: teaching the platform what each column means.
Data preparation
Training Your First Predictor
Train the explainable ensemble and read your first feature-importance plots.
PredictionEnsemble
Understanding Global & Local Explanations
Dive into the Explainability Engine — why the model believes what it believes.
PredictionExplainability
Setting Objectives and Weights
Translate "I want a high-performing material" into objectives, weights and constraints the optimizer understands.
OptimizationTOPSIS
Reading a Pareto Front
The trade-off surface is the real deliverable of optimization — learn to read it.
OptimizationPareto
Techno-Economic Analysis End to End
Price the candidates your optimization found — materials, equipment, CapEx/OpEx, and recycling & end-of-life value.
Cost-awareTEA
Running the Full Pipeline
Chain every stage into one reproducible workflow and stop exporting files between steps.
PipelineAutomation
Working With Fewer Than 100 Rows
The platform's home turf — the specific settings that work when data is scarce.
Data SynthesisSmall data
Using the AI Copilot Effectively
The page-aware AI Copilot answers with citations into the docs — here's how to get the most out of it.
AI CopilotRAG
Closing the Bench-to-Model Loop
Record lab results in the platform and let active learning pick your next experiments.
BenchActive learning