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.
predictions deployed for 1,000s of brands and platforms in the past 30 days
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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 above 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 speedrun
with the API

Step 1
Step 2

Create Datasets to import your data

You’ll map columns so we can recognize people and extract the 2 necessary events we find in your data.

Step 3

Create Cohorts to represent key groups

You'll use the event and trait artifacts produced by your datasets to do this. For this template, you'll need 2 cohorts.

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.