Tone AI decodes the implicit meaning behind APAC business communication — the indirection, the cultural subtext, the phrases that mean something completely different from what they literally say.
Every message passes through the full Tone AI pipeline before a signal is flagged or a draft is sent.
Reads text markers to identify the sender's cultural register. Not domain or location — the actual linguistic patterns in the message.
Scans for 77+ implicit signals across registers. Semantic similarity catches phrases not in the dictionary but close to known patterns.
Detects threat or exit patterns. If pressure signals are found, triggers full reframe mode rather than a light tone adjustment.
LLM adapts the message for the target register — with register-specific few-shot examples, not just abstract instructions.
Checks meaning was preserved (cosine similarity) AND that the output actually sounds like the target register. Both must pass.
Each register has its own implicit signal dictionary — phrases that mean something completely different from their literal translation.
Most tools only help you write better outbound messages. Tone AI also decodes what incoming messages actually mean — which is the harder, more valuable problem.
Paste any message from an APAC contact. Tone AI identifies the cultural register, surfaces the implicit signals, and tells you what the message actually means — and what to do next.
Write your message naturally. Tone AI rewrites it for your contact's cultural register — adjusting warmth, directness, urgency framing, and close style — then verifies the meaning wasn't changed.
The outbound direction — rewriting messages for cultural register — has obvious competitors. ChatGPT, DeepL, any LLM can do a reasonable job if you know the right prompt.
The inbound direction is different. To decode "Inshallah, we will discuss" you need to know: which cultural register this is from, what the signal dictionary says about this specific phrase in a B2B context, and what risk level it represents for your account.
That cultural knowledge — the signal dictionary, the register rules, the risk mappings — is not something any generic AI has. It has to be built by people who live in these cultures. That's the product.
The models are open source. The signal dictionary, register rules, and cultural knowledge are proprietary — and cannot be replicated without starting now.
Tone AI is currently available as part of ChurnSense AI's design partner program, and as a standalone early access for B2B teams.