Faraday

Faraday offers a comprehensive platform designed to predict customer behavior using advanced AI technologies. The platform includes features such as lead scoring, recommending next actions, forecasting spend, and detecting churn. Faraday’s system is built on a robust dataset, featuring over 1,500 attributes on nearly 270 million adults. It supports various prediction types, including Gradient Boosting Trees (GBT) and Generative AI (GenAI), and incorporates built-in bias mitigation and explainable AI to ensure responsible AI usage. The platform integrates seamlessly with various data infrastructures, ensuring predictions are incorporated where needed, and provides a Prediction API for developers to easily predict customer behavior. Faraday also offers identity resolution through its Identity Graph, which combines data from multiple sources. The platform supports deployment on both their secure hosted cloud and private clouds, complying with security standards such as SOC-2, NIST 800-53, CCPA, and HIPAA. Faraday provides prediction recipes for various use cases, including adaptive discounting, content personalization, and churn scoring, and supports data connections with platforms like AWS Aurora, Google Cloud SQL, HubSpot, Salesforce, and Shopify. Additionally, Faraday offers a Zapier plugin to integrate predictions into workflows and provides Farazona sample data for testing predictions. The company has undergone a SOC 2 Type II audit conducted by Wipfli, LLC, and runs an active HackerOne penetration testing and bug bounty program. Faraday complies with GDPR by immediately deleting all European data upon possession and uses Google Cloud Platform for app and API hosting, with private nodes served by Google Load Balancers. The platform also implements a Security Information and Event Management (SIEM) system with Google Cloud Logging and Grafana, and provides a testing sandbox with Farazona dummy data for building predictions.