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Intent HQ builds the technical stack required to understand customer intent as it forms, act on it while it matters, and do so without compromising privacy.

This section explains the core architecture behind that capability: on-device intelligence, real-time signal processing, intent modelling, privacy-preserving design, and the operating layer that turns intelligence into action.

320M+

Profiles managed

250B

Events per day

<120s

Signal latency

49

Patents

How it connects

Seven layers. One architecture.

Edge AI

01.

Edge AI

Real-time customer context, generated on the device and kept private by design.

Deep Signal (Cloud)

02.

Deep Signal (Cloud)

Behaviour at production scale, made usable while the moment still matters.

Intent AI

03.

Intent AI

AI that reads the shape of a decision, not just the record of an action.

Privacy Twins

04.

Privacy Twins

A privacy-preserving behavioural replica that keeps the value of the signal without exposing the person.

Marketing Agents

05.

Marketing Agents

Agents that turn detected intent into timely action while the opportunity still exists.

IntentOne

06.

IntentOne

A single place to manage data, audiences, agents, activation, and governance.

Built to Scale

07.

Built to Scale

Scale only matters if the intelligence stays individual.

Cool engineering

Fifty Firsts.

13
29
38
20
28
11
32
06
14
45
42
50
36
21
44
02
39
34
26
08
37
03
47
43
05
40
27
12
09
41
23
10
15
49
33
24
48
19
04
30
35
25
22
16
01
07
31
18
46
17

Intelligence without privacy is surveillance.

See how every layer of this stack is designed to protect the individual.

See it in practiceDeep Privacy