Latency kills presence
A 1.5-second lookup is the difference between a conversation and an interrogation. Users notice immediately. They just can't always say why it feels off.
Voice that doesn't miss a beat.
Real-time memory for agents that have to sound human — without the pause, the loop, or the "let me check on that."
Memories
Retrieved · 82ms
Voice Input
The problem
Why most voice AI still sounds like voice AI
Chat-era memory is too slow
Standard vector retrieval is fine for text. For voice, it's too slow to arrive in-turn — and too slow to update mid-sentence when the user corrects a fact.
Corrections get dropped
"Actually, it's the 12th, not the 2nd." If memory doesn't update on the fly, the agent's next turn is already wrong.
How Synap solves it
Memory built for real-time
Sub-100ms retrieval
Context arrives before the agent needs it. No turn-boundary pause, no filler.
Anticipatory loading
Likely-next-turn memory pre-fetched while the user is still speaking. The agent is already prepared for the question they're about to ask.
Live correction handling
When the user updates a fact mid-turn, memory reflects it before the next response. No "I have you down as…" drift.
Temporal resolution, native
"Yesterday," "last week," "the other day" — resolved to actual moments, not search terms. Conversation-shaped memory for conversation-shaped input.
The agent keeps tempo. The customer stops hearing the seams. Voice finally sounds like voice.
Also supports
Education · E-Commerce · Legal · Financial Services · HR & Recruiting
Whatever your agents do, Synap is the memory layer underneath.
Voice AI Agents — FAQ
Synap serves memory at sub-100ms latency — fast enough to arrive before the agent's next turn, with no turn-boundary pause or filler words.
When a user corrects a fact mid-turn, Synap updates memory in real time — so the agent's next response already reflects the correction without any "I have you down as…" drift.
Synap pre-fetches likely-next-turn memory while the user is still speaking, so the agent is already prepared for the question they are about to ask.
Synap natively resolves relative time expressions — "yesterday," "last week," "the other day" — to actual timestamps in memory, so voice agents understand conversation-shaped input without requiring exact dates.