What is Faraday?
Faraday combines data science, AI, and automation to help businesses predict and understand customer behavior at scale. The platform integrates seamlessly with existing data sources and provides built-in consumer data with 1,500 attributes, machine learning predictions for key behaviors, and comprehensive bias management systems.
The platform offers both point-and-click interface and API access, featuring robust capabilities including data ingress, identity resolution, algorithm tuning, feature engineering, and real-time inference. With SOC-2 and CCPA compliance, Faraday ensures secure and regulated prediction deployment for thousands of brands and platforms.
Features
- Data Integration: Connect to multiple data sources including Snowflake, BigQuery, and Postgres
- Identity Resolution: Advanced customer identity matching and resolution
- Automated ML: Built-in predictions for key customer behaviors
- Compliance: SOC-2 and CCPA certified security and privacy measures
- Real-time Inference: Deploy predictions in real-time or batch processing
- Bias Management: Built-in detection and mitigation of AI bias
- Consumer Data: Access to 1,500 built-in consumer attributes
Use Cases
- Adaptive discounting optimization
- Lead scoring and prioritization
- Next best offer prediction
- Repeat purchase prediction
- Thematic personalization
- Customer behavior analysis
- Automated marketing optimization
FAQs
-
What types of data sources can Faraday connect to?
Faraday can connect to data warehouses like Snowflake and BigQuery, databases like Postgres, and cloud buckets like S3. It also accepts CSV file uploads through its API. -
What security certifications does Faraday have?
Faraday is SOC-2 certified and compliant with CCPA regulations, ensuring secure and regulated prediction deployment. -
How many consumer attributes does Faraday provide?
Faraday provides access to 1,500 built-in consumer attributes for enhanced prediction capabilities.
Related Queries
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Faraday Uptime Monitor
Average Uptime
100%
Average Response Time
182.78 ms
Last 30 Days
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