人工智慧情感分析

每次通話都得分。 每一種情緒都被追蹤。

呼叫中心的 AI 情緒分析:A 級語言的準確度為 92-96%。語音、聊天、簡訊和社交即時評分-心煩意亂的客戶會自動聯繫高級客服人員。

14 天免費試用。

  • 即時計分
  • 語音+聊天+社交
  • 自動路由
現場感悟·撥打C-7421
Aethon Industries · 隊列:計費
路由
開始
+22
最低
−78
現在
+71
+1000−100
沮喪的
我已經等了二十分鐘了…
-42
風險·自動路由
取消我的帳戶。
-78
正在恢復中
好吧,這實際上很公平。
+18
積極關閉
謝謝,這有效。
+71
0:001:303:004:306:00
自動路由 → 高級特工 · Marisol R.
02:14
觸發條件:情緒 ≤ −60,持續 >6 秒 · 隊列:計費 · 技能:保留

當主管聽到電話轉過來時, 客戶已經流失。人工智慧情緒可以讀取每一次對話發生時的情緒溫度。

它追蹤什麼

在通話結束之前,您可以根據五個訊號採取行動。

情緒不是通話後的分數。這是一個即時訊號,可以改變路線、提醒主管並即時保存帳戶。

語音+聊天+簡訊+社交

每個頻道都使用相同的模型。每次對話的即時評分,而不僅僅是通話。

嗓音聊天簡訊WhatsAppInstagram電子郵件

情緒軌跡

開始、中間、結束-確切了解情緒何時下降以及當時所說的內容。

已標記有合規風險的電話

當模式與風險策略相符時自動標記。

自動路由

當情緒低於您的閾值時,通話會跳到高級代理 - 無需主管 ping,無需人工幹預。

臨界點
≤ −60 持續 >6 秒
JM初級 → 高級

趨勢儀表板

按客服人員、隊列、活動、一天中的時間。在模式變得混亂之前發現它們。

32種語言

相同的精度。 相同的延遲。

每季根據人工評級的電話評估情緒模型。 A 級語言在乾淨的音訊上運行 92-96%; B 級運行率達到 88-94%,並透過對資料進行自訂訓練來提高效能。

A 級 · 92–96%B 級 · 88–94%
CN
英語96%
ES
西班牙語94%
FR
法國人93%
德文93%
PT
葡萄牙語92%
ZH
中文91%
你好
हिन्दी90%
擴增實境
巴黎89%
太平紳士
日本語89%
義大利人92%
荷蘭
荷蘭91%
KO
한국어88%
再加上 20 個 · 客製化訓練將準確度提高 3-6 分
Testimonials

What clients say after 90 days.

Real teams, real numbers — from sales floors, CX desks, and support queues.

We tried three cloud phone tools before this one. The reason we stayed is boring — it just kept working across four time zones. Our sales team stopped thinking about the phone.

Arjun Mehta

Head of Growth · Chennai

The mid-shift dashboard is where I actually spend my day. Queue depth, agent load, and sentiment on one screen — I can coach someone before it turns into a bad review.

Rachel Monroe

CX Manager · Denver

AI covers overflow calls in Hindi and English, so we stopped losing weekend leads. It's not perfect — it hands off to us on anything ambiguous — but for hours and bookings, it beats voicemail every time.

Priya Nair

Support Lead · Bengaluru

HubSpot sync is quiet infrastructure. Every call, note, and recording just shows up on the contact — nobody has to remember to log it. That's why our forecast is finally accurate.

Daniel Carter

Head of Sales · Chicago

I set the whole thing up on my phone during a delayed flight. Six people, three countries, one number that rings all of us. My old provider needed a two-week onboarding for the same thing.

Neha Iyer

Founder · Mumbai

Porting 40 numbers across three countries was the part I dreaded most in the migration. It was done in a week, free, and I only had to sign one form. That set the tone for the rest of the rollout.

Sophie Laurent

COO · Paris

+24%

First Contact Resolution

11 hrs

Per week returned to sales

−38%

Average Handle Time

Trusted & compliantSOC 2 Type IIPCI-DSSISO 27001AES-256 encryption
Side-by-side

MCM vs CallMiner / Observe.AI / Cresta

Honest, sourced facts — not marketing.

Feature
CallMiner / Observe.AI / Cresta
My Country Mobile
Real-time routing on sentiment
Post-call only on most tiers
Live + post-call
Channels covered
Voice-only on base plans
語音+聊天+簡訊+社交
Stated accuracy
Not published
92–96% Tier-A, 88–94% Tier-B
定價
Per-seat add-on
Included in plan
Languages supported
EN + a few EU
32種語言
Two plans to fit your team

Stop measuring satisfaction. Start changing it mid-call.

14-day free trial · Cancel anytime

FAQ

The questions teams ask on the first call.

How accurate is it?expand_more

92-96% on clean audio in English. 88-94% across other supported languages. Improves with custom training.

Does it work on chat?expand_more

Yes. Same model on voice, video, chat, SMS, and social channels.

Can we set custom thresholds?expand_more

Yes. Per queue, per campaign, per skill.

Every call scored. Every emotion tracked.

AI sentiment routes upset customers to senior agents — automatically.