Faraday

Faraday is a sophisticated AI-powered platform designed to predict customer behavior with speed and accuracy. It empowers brands and platforms by removing the complexities of building and maintaining an in-house machine learning pipeline. Instead of grappling with data ingress, identity resolution, algorithm tuning, and feature engineering, users can leverage Faraday's ready-to-use infrastructure. The platform has deployed tens of billions of predictions, showcasing its scalability and reliability.

At its core, Faraday enriches a company's first-party data with its built-in, responsibly sourced consumer data graph, which contains over 1,500 attributes covering demographics, property details, shopping habits, and interests. This allows for a much deeper understanding of customers and prospects. The platform is built with a commitment to Responsible AI, incorporating features for bias detection, mitigation, and explainability to ensure predictions are fair and transparent.

How to use Faraday

Faraday is an API-first platform, designed for seamless integration into existing tech stacks. The process to generate and deploy predictions is streamlined into a few steps:

1. Connect Data Sources: Start by connecting your existing data. Faraday supports data warehouses like Snowflake and BigQuery, databases like Postgres, cloud buckets like S3, or you can simply upload CSV files via the API.
2. Create Datasets: Map the columns in your data so Faraday can recognize individuals and extract key events, such as signups or transactions.
3. Define Cohorts: Use the event and trait data to create key customer segments, such as 'Leads' or 'High-Value Customers'.
4. Declare Prediction Objectives: Choose from Faraday's built-in objectives for key customer behaviors, like 'Likelihood to Convert' or 'Propensity to Churn'. You can also define custom outcomes.
5. Create a Scope: Define the population (using your Cohorts) and the desired payload (including the prediction objective) that you want to prepare for deployment.
6. Deploy Predictions: Add a target to your pipeline for every destination where you need the predictions, such as your CRM, marketing automation platform, or ad networks. The results, including propensity scores, personas, and traits, are delivered in an easy-to-use format.

For those wanting to experiment, Faraday offers a testing sandbox with fictional data, allowing users to experience the full power of the API without using real customer information.

Core Features of Faraday

• Predictive AI Engine: Fully automates the machine learning lifecycle, from data preparation and feature engineering to model training, validation, and real-time inference.
• Built-in Consumer Data Graph: Provides access to over 1,500 responsibly sourced consumer attributes for powerful data enrichment and more accurate predictions.
• Advanced Identity Resolution: Accurately resolves identities to merge a company's first-party data with Faraday's consumer graph, creating a unified customer view.
• Pre-built Prediction Templates: Offers ready-to-use models for common business use cases, including lead prioritization, repeat purchase readiness, next best offer, and thematic personalization.
• API-First Platform: A developer-friendly API allows for easy integration and automation within any existing workflow or application.
• Responsible AI: Includes built-in bias detection, mitigation, and explainability features to ensure ethical and fair AI implementation.
• Broad Data Integration: Natively connects with popular data warehouses, databases, and cloud storage solutions.

Use Cases for Faraday

• Lead Prioritization: Score and rank incoming leads based on their likelihood to convert, enabling sales teams to focus on the most promising prospects.
• Churn Prediction: Identify customers at risk of churning and understand the underlying reasons, allowing for proactive retention campaigns.
• Personalized Marketing: Segment audiences based on predicted interests and behaviors to deliver hyper-relevant messaging, creative, and offers across all channels.
• Next Best Offer: Predict which product or service an existing customer is most likely to purchase next, increasing cross-sell and upsell opportunities.
• Adaptive Discounting: Determine the optimal promotional offer for each individual to maximize conversion rates without unnecessarily eroding profit margins.

Advantages of Faraday

• Accelerated Time-to-Value: Bypass the lengthy and resource-intensive process of building an internal ML team and infrastructure.
• Superior Data Enrichment: Enhance your customer understanding with a vast and ethically sourced dataset, leading to more accurate models.
• Actionable & Interpretable Results: Delivers clear, usable scores and insights that can be directly activated in downstream systems.
• Developer-Centric: A simple, well-documented API ensures that developers can integrate predictive intelligence quickly and efficiently.
• Compliance and Safety: Designed with privacy and security at its core, adhering to standards like SOC-2 and CCPA.

Pricing and Plans

Faraday offers a 'Get started for free' option, which includes access to their testing sandbox and API with sample data. For full use with your own data, Faraday provides custom enterprise plans tailored to specific business needs. Prospective customers are encouraged to schedule a demo to discuss their use case and receive detailed pricing information.