The feeling of live
Humans are exquisitely sensitive to conversational delay. In face-to-face speech, gaps longer than a few hundred milliseconds start to feel like hesitation, distraction, or failure. Video calls inherit that biology. When an AI agent or remote verifier sits on the other side of a media pipeline, every encode, hop, and model call competes with the user’s patience.
That is why Visive treats latency as a first-class product requirement. “AI powered” means little if the session feels like waiting for a batch job. Customers completing Video KYC, students under proctoring, or drivers booking service want the rhythm of a person who is present.
A practical latency budget
We target under 150 ms average media RTT on the global edge network — the band where most users still describe the experience as live. Vision inference for snapshots typically lands in the 50–100 ms range so overlays and decisions can join the same conversational turn rather than the next one.
If your architecture cannot explain where each 50 ms goes, you do not yet have a latency budget — you have a hope.
Where milliseconds hide
Latency rarely dies in one dramatic place. It dies in accumulation:
- Device capture — camera warm-up, encode preset, echo cancellation.
- Network path — unnecessary cross-region hops, congested last miles, TCP fallbacks.
- SFU / MCU choice — poorly placed media servers add a tax on every participant.
- Model placement — shipping frames to a distant GPU for liveness while audio takes another path.
- UI thread — heavy frontends that paint late even when packets arrived on time.
Visive co-locates media edges and model lanes so ASR, vision, and rendering share clocks. The session graph — not a chain of unrelated vendors — is what keeps the budget honest.
Vision in the same turn
Computer vision that arrives a second late is a different product. Liveness checks, gaze cues, or document framing guides must land while the user is still holding the pose. That is why “see” is not a bolt-on API call in our stack; it is a peer of stream and reason.
One session graph beats three integrations fighting over whose clock is right.
Product implications
Video KYC. Sub-three-minute onboarding is impossible if each step waits on cold starts and distant inference. Guided capture and liveness have to feel immediate or abandonment returns.
Proctor AI. Integrity alerts that show up after the exam window closes are forensic only. Live hybrid review needs low-latency tiles and clip retrieval.
AutoCall AI & support. Turn-taking and barge-in collapse when TTS and STT lag. Callers hear robots; conversion hears silence.
How we measure
We instrument client-to-edge RTT, frame-to-overlay delay for vision events, and time-to-first-meaningful-response for conversational turns. Dashboards page on regressions the same way we page on uptime — because for this category, latency is availability of presence.
If you are evaluating vendors, ask for the budget, the measurement method, and what happens under 3% packet loss. Marketing percentiles without a path story are not enough.
Want to pressure-test a session on your network? Book a demo or explore the platform architecture.