Social Intelligence
API for AI products
Build AI products that respond to how people communicate, not just what they say.
Pre-speech exhale
Gaze shift
Emphatic overcompensation
An omni-modal model purpose-built for social intelligence.
Detects 12 social signals from video, audio, and text — processed together, in temporal alignment.
Send a video. Get back detected signals, evidence-grounded rationales, and confidence scores your application can act on.
Add social intelligence to any application.
Yeah,soIthinkthemainissuewas
communication.
Wejustweren'tonthesamepage.
Canyoutellmemoreaboutthat?
Like,Iwouldsaysomething
andshe'dhearsomethingcompletely
different.
Itwasfrustrating.
Howdidthatmakeyoufeel?
Honestly,prettyhelpless.
Iwantedtofixitbut
Ididn'tknowhow.
Thatsoundsreallydifficult.
Itwas.Butlatelythingshave
beengettingbetter.
We'vebeentryingtoactuallylisten.
That'sgreattohear.
Whatchanged?
Ithinkwebothjustgottired
ofthesamepatterns.
Somethinghadtogive.
Upright posture, steady eye contact, and repeated nodding throughout response
Finally more data than a transcript
Transcripts capture what was said. Inter-1 captures how — voice, face, and body language processed from a single video stream. Build products that act on what's actually happening in a conversation.
Built for agents and humans
Give agents the ability to detect and respond to social signals. Or give users structured feedback on how they communicate — backed by evidence, not opinion.
See everything. Explain
every signal.
Multimodal perception
A furrowed brow could be focus. Add a vocal pitch shift and tense posture — that's frustration. Inter-1 analyses all three modalities together.
12 actionable social signals
Human conversation runs on signals no transcript captures. Inter-1 detects 12 of them simultaneously, across modalities.
{"signal": "frustration","confidence": 0.87,"rationale": {"Rising vocal tension with compressed pitch, compressed lips, furrowed brows and tense shoulders, restricted hand movement"},"onset": "00:02:14","duration": "5.1s"}
Explains what triggered every signal
Every signal comes with the observable cues that triggered it. Know why the model returned frustration in a nicely formatted JSON.
Built on Behavioural Science, validated with psychologists
Inter-1 detects 12 signals rooted in behavioral science. We're working together with psychologists to ensure each signal reflects patterns that are both scientifically validated and practically meaningful in real-world conversations.
What developers are building
with the Signals API
Customer stories
View all customer stories
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