Real-time character-swaps, built for live engagement.
FrameFlow powers low-latency AI video sessions with real-time character and facial transformation, multi-AI orchestration, and seamless live conferencing performance.
Core Capabilities
Engineered for real-time AI communication and live media performance.
Low-Latency Video
Real-time frame synchronization and stream optimization for smooth AI-powered character and facial transformations during live calls.
GPU Inference
High Output Parallel processing for character and facial tracking, media synthesis, and high-density conferencing without visible lag or dropped frames.
Live Session Control
Unified flow management for audio, video, and AI overlays across distributed users and live collaborative sessions.
Live AI Camera Session Credits
Choose the session tier that matches your live AI conferencing volume and character-swap workload.
A low-cost option for testing live sessions and low-volume AI video exploration.
- • No signup fee
- • No initial credits
- • Charge: $5/min prepaid
- • Credit expires in 24 hours
Built for regular live sessions and controlled AI video usage with a lower effective rate.
- • Includes 10 minutes of credits
- • Charge: $4/min prepaid
- • Credits expire in 30 days
Optimized for heavier live AI workloads with more starter credits and better session value.
- • Includes 20 minutes of credits
- • Charge: $3/min prepaid
- • Credits expire in 30 days
Live Session Billing
A prepaid model designed for live AI video sessions, real-time rendering, and face-swap processing.
Activation Fees
Each plan includes a one-time account activation charge. This unlocks your tier and provides the starting credits tied to that level.
Prepaid Compute Billing
Usage is billed prepaid at a per-minute rate. The rate drops as you move up to the Casual and Usual tiers, while the starter credit balance helps cover initial usage.
Expiration & Balance Policy
Credits expire based on the selected tier: Free expires after 24 hours, while Casual and Usual expire after 30 days. This keeps the model predictable and prevents unused credit from lingering indefinitely.
Questions regarding FrameFlow or custom live AI deployments?
Reach out to the lead engineer directly for custom cluster allocation or tailored integration support.