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Build · Deploy · Manage AI Voice Support

Let every call be handled by a professional AI voice agent

Configure SIP voice agents visually. Integrate with FreeSWITCH / Asterisk. Customize and observe the full VAD→ASR→LLM (mem0/MaxKB)→TTS pipeline.

Ship the first agent in 5 minutes: templates + default pipeline

Trace every call: logs, transcripts, model calls, and memory writes

Deploy privately: keep call data local with RBAC & audit trails

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No credit card · Private deployment ready · PoC checklist available

Live Console

Observable · Auditable

Healthy

End-to-end latency breakdown

Example: VAD / ASR / LLM / TTS

VAD

42ms

ASR

310ms

LLM

520ms

TTS

280ms

* Sample data for illustrating observability.

Concurrency

8

Error rate

0.2%

Pipeline

Healthy

Turn AI voice support into a capability—not a one-off project

Configure, deploy, monitor, and iterate in one console.

Go live fast

Industry templates to ship your first AI voice agent in 5 minutes.

Visual configuration

Compose ASR/LLM/TTS and dialog strategies modularly. Drag-and-drop flows available (optional).

Secure and controlled

Private deployment supported. 100% of call data can stay on-prem.

From dialing to post-call review in 3 steps

Dial → Hear the AI response → Review logs and mem0 memory writes in the console.

Demo

Demo uses simulated data to illustrate observability.

Dial

Idle

SIP

INVITE → 200 OK → RTP

ASR / LLM / TTS are replaceable


TTS

Play AI voice

AI Response

Shows VAD/ASR/LLM/TTS outputs in real time

Idle

Observability


You'll see

First-response latency breakdown (every segment visible)

Knowledge/memory evidence (sources and write records)

Exportable review (JSON/logs) for PoC and compliance

Control comes from architecture

From SIP ingress to model calls, every hop is replaceable, observable, and auditable.

Pipeline overview (uplink/downlink)

Total: 1160ms (~1.16s) / 1.2s budget

Uplink (caller → AI)

Downlink (AI → caller)

1
Caller
2
SIP Gateway
20ms
3
VAD
40ms
4
ASR
300ms
5
LLM + mem0/MaxKB
520ms
6
TTS
280ms
7
Voice back

1. Caller

2. SIP Gateway

20ms

3. VAD

40ms

4. ASR

300ms

5. LLM + mem0/MaxKB

520ms

6. TTS

280ms

7. Voice back

Low-latency pipeline
Multilingual & dialect-ready
CRM / Ticketing / QA integration
RBAC & audit trails
Private / hybrid deployment

Give AI the call volume. Keep the outcomes.

Example layout only. Replace with real customers and real numbers after launch.

Typical customers

Finance · City bank

E-commerce · Support center

Gov · Hotline

Finance outbound

Connect rate +37% · Labor cost -¥2.1M/year

Automate high-frequency outbound calls and intent collection; agents focus on high-value users.

E-commerce after-sales

Auto-resolution +52% · Avg. call duration -18%

Answer high-frequency questions and sync tickets so the team can focus on complex cases.

Gov hotline

Peak queue -35% · Satisfaction +0.6

Handle peak traffic with consistent answers to avoid congestion and inconsistency.

"We now manage multiple trunks in one console. Debugging moved from listening to recordings to reading traces."

"Models and knowledge can be swapped independently—no need to redo SIP integration."

No voice-algorithm team required—bring AI brains to your support system

We set up SIP ingress, model pipeline, observability, and governance so you can focus on scripts and knowledge.

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Private/hybrid deployment · PoC checklist available · Delivery timeline depends on scope