AI Feature Pilots & Early-Stage Product Enablement
PING supports platforms during early AI and product experimentation phases, where quality control, rapid learning, and controlled rollout are essential to building scale-ready products.
pieces across multiple verticals
0+
Our role focuses on enabling structured experimentation, reliable feedback, and operational rigour during high-impact pilot and testing phases.
What we handle:
Cohort-based
Experimentation
Quality governance
Feedback loops
Tracking
Cohort-based onboarding of creators and contributors for controlled pilots
Large-scale content and usage experimentation across multiple verticals
Quality governance frameworks aligned with platform and policy requirements
Structured feedback systems designed to inform product iteration and model improvement
Adoption, performance, and engagement tracking across pilot phases
Representative Work
Scaled Creator-Led Testing for an Emerging Platform Feature
Early-stage AI feature testing and content seeding programs, supporting controlled rollouts through creator-led experimentation and large-scale content generation (100,000+ pieces across multiple verticals), combined with structured feedback loops—enabling product teams to evaluate usage patterns, quality signals, and readiness for broader deployment.
