Adaptive discounting
How significant of a promotion is each target worth?
Predict customer behavior the speedy way
Faraday gives data science & engineering teams everything they need to build breakthrough customer experiences. Data, AI, and automation — point-and-click or API.
When it's time to put down your notebooks
- Data ingress and integrations
- Fully prepared consumer data
- Identity resolution
- Algorithm tuning
- Feature engineering
- Validation & reporting
- Probability calibration for useful scores
- Geonormalization
- Explainability
- Bias detection & mitigation
- Real-time and batch inference
- SOC-2, CCPA, and other regulation
- Lifecycle management
Faraday is ready
Everything on the leftabove is included. Just …
- Connect to your existing data sources
- Declare your prediction objectives
- Review automatic reporting
- Deploy your predictions anywhere
Which behavior will you predict?
Let's speedrunwith the API
Step 1
Create Connections to your data sources
Faraday supports data warehouses like Snowflake and BigQuery, databases like Postgres, and cloud buckets like S3. Or just start by uploading CSV with POST /uploads.
Step 3
Create Cohorts to represent key groups
Step 4
Declare your prediction objective
Faraday has built-in objectives for key customer behaviors. This template uses an outcome to make the necessary predictions.
Step 5
Use a Scope to make your predictions
Scopes let you choose a population (using Cohorts) and a payload, including the objective you just created, to prepare for deployment.
Step 6
Use a Target to deploy your predictions
You can add a target to your pipeline for every deployment destination you need for your use case.
Ready to ship?
Skip the ML struggle and focus on your downstream application. We have built-in sample data so you can get started without sharing yours.