Faraday

Faraday is a powerful platform designed to help data science and engineering teams predict customer behavior and build advanced customer experiences. It offers a developer-friendly API and a suite of tools that streamline the entire process, from data ingestion to prediction deployment.

Core Features:

• Developer-Friendly API: Enables seamless integration into existing workflows and applications.
• Predictive Customer Experiences: Empowers businesses to anticipate customer needs and actions.
• Data Ingress and Integrations: Supports a wide range of data sources, including data warehouses (Snowflake, BigQuery), databases (Postgres), and cloud storage (S3).
• Prepared Consumer Data: Provides fully prepared consumer data, ready for analysis and model building.
• Identity Resolution: Accurately identifies and links customer data across various touchpoints.
• Algorithm Tuning: Offers tools for optimizing machine learning models.
• Feature Engineering: Automates the creation of relevant features from raw data.
• Validation & Reporting: Delivers comprehensive insights into model performance and data quality.
• Probability Calibration: Ensures that prediction scores are reliable and actionable.
• Geonormalization: Standardizes and enriches location-based data.
• Explainability: Provides insights into why predictions are made, fostering trust and understanding.
• Bias Detection & Mitigation: Addresses ethical considerations in AI by identifying and reducing bias.
• Real-time and Batch Inference: Supports both immediate and scheduled prediction generation.
• SOC-2, CCPA, and Regulation Compliance: Adheres to industry standards for data security and privacy.
• Lifecycle Management: Manages the entire lifecycle of predictions and models.
• Built-in Consumer Data: Includes a comprehensive identity graph with 1,500+ attributes.
• Built-in ML Predictions: Offers pre-built models for key customer behaviors.
• Built-in Bias Management: Ensures responsible AI practices.
• Templates: Provides pre-built solutions for common use cases like adaptive discounting, lead prioritization, next best offer, repeat purchase readiness, and thematic personalization.

Target Users:

Faraday is ideal for data science teams, data engineers, and marketing technology professionals who need to leverage customer data for predictive insights and personalized experiences. It caters to businesses looking to move beyond traditional analytics and embrace AI-driven customer engagement.

How it Works:

1. Create Connections: Connect Faraday to your existing data sources.
2. Create Datasets: Import and map your data, defining events and traits.
3. Create Cohorts: Define key customer segments (e.g., Leads, Customers).
4. Declare Prediction Objective: Specify the behavior you want to predict (e.g., likelihood to convert).
5. Use a Scope: Define the population and payload for your predictions.
6. Use a Target: Deploy your predictions to various destinations and integrations.

Faraday empowers businesses to understand and anticipate customer actions, leading to more effective marketing, sales, and customer service strategies.