Predict customer behavior with automated machine learning pipelines
Faraday helps data teams build customer experience tools without the heavy lifting of machine learning infrastructure. It handles data integration, AI model training, and prediction deployment through either a visual interface or API. Teams get access to 1,500+ consumer attributes and pre-built models for common use cases like lead scoring and personalized offers. The platform handles technical requirements like bias detection and regulatory compliance, letting users focus on business applications.
1,500+ attributes for enriched customer profiles
Pre-configured models for key business behaviors
Automatic detection and mitigation of AI bias
Programmatic access to all platform capabilities
SOC-2 certified with CCPA/GDPR support
Yes, Faraday offers built-in sample data (Farazona) to test the platform without uploading sensitive information.
The platform includes automatic bias detection, explainability features, and probability calibration for fair outcomes.
While the API requires technical skills, the point-and-click interface enables visual workflow building for business users.
This tool is best for:
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Faraday can be integrated with these apps and services:
Recent data shows that Faraday has 16.1K monthly visits (70.0% increase from the previous month), 38.0% bounce rate, and average 1.79 pages per visit.
Traffic is primarily driven by 6 different sources, with users from 5 countries worldwide, led by United States contributing 29% of total traffic. SEO performance is shown by 5 tracked keywords, with "faraday" being the top-performing keyword with 40.4K monthly searches. See below for more info.
Monthly Visits
16.1K
Pages per Visit
1.79
Bounce Rate
38.0%
Average Time on Site
12s
| SEO Keyword | Volume | CPC |
|---|---|---|
| faraday | 40.4K | $1.79 |
| faraday ai | 1.2K | $5.59 |
| faraday vt consultants | 220 | - |
| farady marketin software | 100 | - |
| b2c lead scoring | 80 | - |
| Source | Traffic Share |
|---|---|
| Direct | 47% |
| Search | 37% |
| Social | 6% |
| Referrals | 9% |
| Paid Referrals | 1% |
| Country Name | Traffic Share |
|---|---|
 | 29% |
 | 16% |
 | 13% |
 | 10% |
 | 10% |
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