Faraday prediction platform
No-code AI for growth, embedded in your stack
How Faraday works
Learn the basics
Security & privacy
We’ve got you covered
Responsible AI
Balance power with fairness
Product documentation
In-depth guides for every use case
Platform features
Everything you need to make your growth stack predictive
Powerful predictions
Propensity, persona, and forecasted spend
Integrations
Connected to 100s of popular tools
Built-in consumer data
Rich profiles of 300 million adults
Developer API
Predict programmatically
All product features→
Roles
Faraday for . . .
Customer acquisition
Data & analytics
Dev & engineering
Engagement & retention
Lead management
Marketing & growth
Popular prediction recipes
By use case
Churn scores
High spenders
Lead scores
Likely buyers
Persona assignments
Repeat purchasers
By destination
Aurora
Azure SQL
BigQuery
Cloud SQL
CSV
Facebook
GCS
Google Ads
HubSpot
Iterable
Klaviyo
LinkedIn
Liveramp
MySQL
Pinterest
Poplar
Postgres
RDS
Redshift
S3
Salesforce
Segment
Snowflake
SQL Server
Taboola
Youtube
Explore all prediction recipes→
Learn more
Product documentation
In-depth guides for every use case
Customer stories
Learn from the best
Our blog
Case studies, tips & tricks, and more
Talk to sales→

Predictions for developers

Fast, secure automated AI that just works

Predict customer behavior in a few lines of code

@fdy/faraday-js

const configuration = new Configuration({
  headers: { authorization: "Bearer YOUR_API_KEY" },
});
const faraday = new FaradayClient(configuration);
// upload orders, identify customers
await faraday.uploads.createUpload("orders", "orders.csv", file);
const cohort = await faraday.cohorts.createCohort({
  name: "Customers",
  stream_name: "orders",
});
// segmentation for personalization
const personaSet = await faraday.personaSets.createPersonaSet({
  name: "Customers",
  cohort_id: cohort.id,
});
// activation pipeline
const scope = await faraday.scopes.createScope({
  name: "Customers Scores",
  preview: true,
  population: { cohort_ids: [cohort.id] },
  payload: { persona_set_ids: [personaSet.id] },
});

Predictions in Aurora

Faraday easily integrates with AWS Aurora, enabling you to embed AI-powered predictive analytics anywhere else in your stack. Discover your brand's bespoke personas, score your customers for churn risk, find repeat purchasers, and more, enabling you to confidently engage the right customers, at the right time, with personalized, relevant content. The best part? No code—and no PhD—required.

Aurora

Database

Aurora variants

Aurora recipes

Explore all prediction recipes