Chat that resolves.
Not chat that deflects.
Already running in production.
60 to 80%
3x
Sub-second
40 to 60%
Same day
You've already deployed a chatbot. Your customers already hate it.
The chatbot doesn't read your data.
The bot is great at the easy 20%.
Customers leave the chat to find a human.
Real resolution.Not flowchart navigation.





On your site. In your app.Same agent. Same brain.


What makes the chat feel like talking to someone who actually works there.
Real-time data lookups
Full conversation context
Intent recognition
Knowledge stays current
Mid-chat handoff
Brand voice you control
Handoffs that don't make customers start over
Deploys in three forms
Real-time data lookups
Full conversation context
Intent recognition
Knowledge stays current
Mid-chat handoff
Brand voice you control
Handoffs that don't make customers start over
Deploys in three forms
Works with the stack you already run

One agent. Three channels.
Same customer.
Chat gets exponentially better when SquawkVoice is also handling your voice and email.
The customer who chatted yesterday and calls today doesn't start over. The one who emailed Monday and chats Tuesday gets a reply that references the email. The agent who picks up an escalation sees every interaction across every channel, not just the chat.
Same configuration. Same knowledge. Same identity. Different channels.
Frequently Asked Questions
Most chatbots run on scripted flows or pre-trained FAQs. SquawkVoice pulls live data from your CRM, order system, and helpdesk on every reply. The customer asks where their order is, the AI reads the actual order. That's the difference between deflection and resolution.
Your knowledge base, your CRM, your order system, your helpdesk, your product catalog, and any custom system you expose via REST API. Whatever your team uses to know something, the AI can read from.
Days to weeks for a first production chat. Most teams hit production on web chat in 2 to 3 weeks. In-app SDK adds another week or two depending on your release cycle.
Yes. Native SDKs for iOS, Android, and React Native. Same configuration as web chat. Full access to logged-in user context.
It hands off to your team with the full conversation, the AI's summary, and the customer's history. Your agent picks up where the AI left off. Customer doesn't repeat themselves.
Authenticated users get full account context, real-time lookups, and personalized answers. Anonymous visitors get the right level of caution: no PII exposure, no account actions until they verify.
Tone, vocabulary, escalation language, brand-specific phrases. You define it, the AI follows it. Reads like your brand wrote it.
It reads your knowledge base, help center, and docs directly. When you update the source, the AI updates with it. No retraining cycle.
Per-resolution pricing for chat. Talk to sales for volume and enterprise pricing. See full pricing ->
No. Asynchronous load. Doesn't block render. Sub-100ms initial paint impact in our benchmarks.
Automatic redaction in transcripts. Configurable retention. Regional data residency. SOC 2 Type II audited.
See it before you buy it.
The chat widget on this page is the real product.
Try it. Then book the demo.
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