FOR CS LEADS · OPS · SAM SUPPORT

LLM for Customer Support
multilingual · flat-rate · 24/7

Stop paying per-agent fees ($50/mo Zendesk AI = $500 for 10 agents). Brainiall flat $99-499/mo automates unlimited tickets: classification, sentiment, multilingual response, voice transcription. EU-hosted, GDPR-friendly for support data.

Try Pro Team free 7d Multilingual use-case

Replace per-agent CS AI tools

Tool (10 agents)	Monthly	Annual
Zendesk AI Suite	$500/mo	$6,000
Intercom Fin	$400+/mo	$4,800+
Freshdesk Freddy AI	$350+/mo	$4,200+
Brainiall Pro Team	$99/mo (5 seats + 50k credits)	$1,188
Brainiall Business	$499/mo unlimited	$4,990 (vs $6k Zendesk = saves $1k/yr at 10 agents, scales to 100+ free)

CS automation pipeline

from openai import OpenAI

client = OpenAI(
    base_url="https://api.brainiall.com/v1",
    api_key="brnl-..."
)

# 1. Voice → text (call recording)
audio = client.audio.transcriptions.create(
    model="whisper-large-v3",
    file=open("call.mp3", "rb"),
    language="auto"  # auto-detects 100+ langs
)

# 2. Classify intent + sentiment
classification = client.chat.completions.create(
    model="claude-haiku-4-5",  # fast + cheap
    messages=[
        {"role":"system","content":"Classify: refund/complaint/inquiry/praise. Sentiment: positive/negative/neutral."},
        {"role":"user","content":audio.text}
    ]
)

# 3. Generate response in customer's language
response = client.chat.completions.create(
    model="claude-sonnet-4-6",  # best quality
    messages=[
        {"role":"system","content":"Respond in customer's language with our brand voice. Cite KB articles."},
        {"role":"user","content":audio.text}
    ]
)

# 4. Translate KB article (optional)
translated = client.chat.completions.create(
    model="qwen-3",  # excellent for CN/AR/JP/multilingual
    messages=[{"role":"user","content":f"Translate to Spanish: {kb_article}"}]
)

🌍 100+ languages without 5 vendors

Brainiall serves Claude/GPT/Qwen/Gemini for multilingual support. Qwen 3 SOTA for Chinese/Arabic/Japanese, Claude 4.6 best for European languages, GPT-5 for tools+web. All in same API.

Use-case ready: /use-case/multilingual-customer-support com Whisper integration patterns.