CausalKit™
Predictive Modeling & Causal Inference; Simplified
Unlock smarter decisions with cutting-edge statistical modeling. Whether forecasting outcomes or accurately measuring causal impacts in A/B tests and RCTs, CausalKit provides crystal-clear insights backed by robust, state-of-the-art analysis.
Two Paths, One Platform
Choose your analysis approach
Upload Your Data
CSV, Excel, SQL, or API
Predictive Modeling
- ▸Forecast outcomes
- ▸Time series analysis
- ▸Feature importance
Causal Inference
- ▸A/B test analysis
- ▸Treatment effects
- ▸RCT evaluation
Trained Model
Using industry leading Bayesian methods
Deploy & Predict
Using API endpoints for your trained models
GET /predict
Forecast new data
GET /treat
Causal effects
Dual Analysis Platform
Unlock insights with our powerful predictive modeling and causal inference tools
Predictive Modeling
Build accurate forecasting models to predict outcomes and identify trends using advanced Bayesian methods. Perfect for time series analysis, feature importance, and making data-driven forecasts.
- •Statistical forecasting with Bayesian credible intervals
- •Time series analysis and trend detection
- •Feature importance and variable selection
- •Cross-validation and model evaluation
Causal Inference
Discover true causal relationships in your data to measure the impact of interventions. Perfect for A/B testing, randomized controlled trials (RCTs), and identifying heterogeneous treatment effects.
- •A/B testing analysis with true treatment effects
- •Randomized controlled trial (RCT) evaluation
- •Heterogeneous treatment effect estimation
- •Bayesian credible intervals for robust insights
Data Management
Securely import, store, and manage datasets via AWS S3 for both predictive and causal analysis with enterprise-grade security.
Visual Workflows
Design analysis pipelines with intuitive flowcharts for both prediction and causal inference.
API Integration
Deploy models as REST endpoints with secure API keys for seamless integration with your applications.
Instant Prediction Forms
Automatically generate interactive forms from your model's features for quick predictions without any coding.
Transparent, Usage-Based Pricing
Pay only for what you use: AWS infrastructure costs plus our ML platform fee
Pricing Calculator
Data & Resources
Users & API
Monthly Estimate
(actual usage fees may vary)Frequently Asked Questions
Common questions about CausalKit's features and security
Is my data secure?
Yes, all datasets are encrypted and securely stored in AWS S3. For additional security, your datasets can be flagged for automatic deletion from our servers immediately after model training is complete, leaving only the trained model.
How long does model training take?
Training time depends on your dataset size. For small datasets (up to 5K rows), training typically completes in under 5 minutes. Medium datasets (up to 50K rows) may take up to 30 minutes, while larger datasets (up to 500K rows) can take several hours.
What types of models can I build?
CausalKit supports two main types of analyses: Predictive Models for forecasting future outcomes, and Causal Inference models for measuring true causal effects in A/B tests and randomized controlled trials (RCTs).
Can I integrate with my existing systems?
Yes! CausalKit offers a comprehensive API for programmatic access to all functionality. This enables seamless integration with your existing data pipelines, dashboards, and business intelligence tools.
Transform your data analysis with predictive modeling and causal inference
Join innovative teams using CausalKit™ to make data-driven decisions with confidence 95-99% credible intervals.