Faraday

Faraday is a customer-context platform that helps AI agents use predictions, identity resolution, audiences, and enriched customer data. Teams should establish a lawful data basis, minimize sensitive attributes, test bias and accuracy, protect identities, provide opt-outs, monitor agent decisions, and retain human control over consequential targeting.

Begin with authorized, non-sensitive inputs and a limited test. Configure privacy, access, quality, export, disclosure, evaluation, consent, moderation, security, and spending controls; compare results with authoritative sources and real requirements; correct errors; and keep a responsible person in control before publication, communication, purchases, automation, deployment, or consequential changes.

New users may receive free credits. Faraday Pro is usage based with no contract or minimum, while larger deployments may use negotiated terms. Context volume, predictions, integrations, support, and usage determine cost.

AI output may be inaccurate, generic, biased, incomplete, stale, unsafe, insecure, or misleading. Review privacy, retention, training, copyright, consent, security, renewals, refunds, commercial rights, professional limits, and platform rules, and require qualified human review for legal, health, employment, code, finance, or other high-impact work.