Faraday
Unified data and AI for predicting customer behavior
Est 2012|Valuation $20.5M|Raised $11.2M
Unified data and AI for predicting customer behavior
Published Oct 6, 2026
Vendor materials include a homepage claim about predictions deployed across many brands and platforms within recent time windows. This is a vendor claim and should be independently verified for specifics such as whether the cited entities are paying customers, trial users, or downstream endpoints.
| Starting Price | Not clearly public on the vendor's main site; pricing referenced on cloud marketplaces and private offers | Free tier exists; paid plans are usage-based; business tiers are quote-based | Pricing typically requires a demo and quote; some entry-level options are described via sales channels |
| Primary Use Case | B2C propensity modeling, consumer enrichment, and prediction deployment | Warehouse-first activation (reverse ETL) and personalization/decisioning | B2B account targeting, intent data, and sales intelligence with predictive signals |
| Key Strength | Built-in consumer attribute graph and a structured prediction workflow | Strong activation/integration focus and broad integration surface | Purpose-built B2B GTM features (intent, account mapping, and sales workflows) |
| Key Weakness | Steep learning curve reported by some users; limited public pricing clarity; potential brand-name confusion in searches | Costs can scale with usage; requires a warehouse-centric architecture for many use cases | Enterprise-focused pricing and sales motions; pricing opacity for some buyers |
Faraday and reverse ETL vendors (for example, Hightouch) are often complementary in common architectures: predictions and enrichment can be produced by a prediction platform and then activated using reverse ETL products.
Faraday and 6sense differ in emphasis: 6sense focuses on B2B account-based motions with intent signals and sales workflows, while Faraday focuses on consumer enrichment and B2C propensity scoring.