Turn spreadsheet chaos
into dashboards, reports, and forecasts.
A unified workspace built for the entire data lifecycle.
AeroAnalytics Workspace
Workspace • Analyze
Go from raw data to insights in minutes, not days.
Ingest and Connect
Instantly upload files or sync live spreadsheets to build your project's clean data foundation.
- CSV and XLSX upload
- Spreadsheet connections
- Project data inventory
Refine and Prepare
Construct repeatable pipelines to filter, reshape, and enrich raw files into clean, structured tables.
- Filter, group, and pivot
- Text and date cleanup
- Derived datasets
Query and Explore
Ask Clarex questions in plain English to uncover hidden trends, compare cohorts, and map key metrics.
- Plain-English analysis
- KPI breakdowns
- Follow-up questions
Visualize and Share
Assemble interactive dashboards and executive-ready reports that teammates can access instantly.
- Manual plots
- Reusable dashboards
- Narrative reports
Predict and Export
Deploy forecasting models to anticipate trends, then export Python code to reproduce anywhere.
- Forecasts and classifiers
- Inference on new data
- Notebook-style code
Build models visually.
Handoff production Python.
Bridge the gap between business forecasting and engineering execution. Model Studio empowers analysts to train high-accuracy forecasting models, analyze feature drivers, and run inference without touching code—all on an intuitive drag-and-drop canvas.
No black boxes. Instantly export fully documented Python scripts or Jupyter Notebooks to audit, scale, or hand off to engineering teams.
Time Series Forecasting
Predict revenue, demand, and churn using state-of-the-art models.
No-Code Training
Fine-tune hyperparameters and compare model classes visually.
Feature Importance
Uncover exactly which inputs and signals drive your model's predictions.
1-Click Code Handoff
Generate clean, production-ready Jupyter Notebooks for your engineering team.
Forecast pipeline
Visual canvas, run history, exportable code
Source data
Preprocess
Train model
Notebook
Register
Evaluate
Run metrics
model = cx.ForecastModel()
model.train(data)
model.export_ipynb()
Collaborate seamlessly across builders and business stakeholders.
Creator Workspace
Empower analysts and data scientists to construct pipelines, design dashboards, train models, and export reusable notebooks.
- Create and edit assets
- Run AI and model workflows
- Schedule refreshes
Stakeholder Console
Provide business users and stakeholders with read-only, interactive dashboards and narrative reports without exposing underlying databases.
- View shared dashboards
- Review reports
- Subscribe to updates
Enterprise Governance
Maintain complete control with role-aware permissions, usage audits, and cost-governed compute allocations.
- Shared credit pools
- Viewer-friendly sharing
- Usage alerts and caps
Simple, workspace-based pricing.
Empower your team with a shared credit pool. Choose a plan with a flat monthly credit allocation, invite unlimited builders and viewers, and purchase top-ups on demand.
Perfect for individual creators evaluating Clarex.
- 500 monthly credits
- 1 Builder seat limit
- Unlimited free viewers
- Up to 1 active project
- Core feature access
For solo professionals building pipelines and dashboards.
- 5,000 monthly credits
- 1 Builder seat limit
- Unlimited free viewers
- On-demand credit top-ups
- Up to 10 active projects
For collaborative teams building pipelines and dashboards.
- 20,000 monthly credits
- Unlimited Builder seats
- Unlimited free viewers
- On-demand credit top-ups
- Up to 100 active projects
- Custom Workspace URL
All features are open across all plans. Usage is governed by your workspace credit balance. Purchase additional credit packs on demand as your consumption scales.
Ready to transform your spreadsheets?
Upload a spreadsheet, ask your first question, and build a reusable analytics pipeline in minutes.