Live customer context for enterprise AI.

Intent HQ builds AI that helps enterprises understand what is changing with customers, what matters commercially, and where to act next.

Most enterprises already have data, dashboards, and models. What they often lack is a clear, live picture of what is happening with a customer before the moment passes.

That is the gap we work on.

Intent HQ combines:

• Signal processing
• Behavioural intelligence
• Agentic operating systems
• Privacy-safe, explainable AI

Our product, IntentOne, is an Opportunity Intelligence platform. It turns fragmented signals into live customer context, helping organisations move from hindsight to action with more speed, confidence, and control.

AI is only as useful as the signals behind it.

In the LXA analyst report A Structural Blueprint for Architecting Agentic Marketing at Enterprise Scale, 43% of organisations said data quality or availability often slows execution or measurement. Only 6% qualified as truly agentic. The issue is not simply model quality. It is whether the business can turn the right signals into something useful before the value fades.

For a technical audience, the value is not just better models. It is better inputs, better timing, and better operational fit.

IntentOne is valuable because it helps enterprises:

• reduce the gap between insight and action
• use existing first-party data more effectively
• add new signal layers without rebuilding the stack
• improve relevance without increasing privacy exposure
• give business, data, and risk stakeholders a shared view they can trust

That creates value for different stakeholders across the enterprise:

• Commercial and growth teams get a clearer view of what matters now
• Data and AI teams get better context to work with
• Engineering teams get a system that can start with existing infrastructure and expand over time
• Security, privacy, and compliance teams get explainability, boundaries, and auditability built in from the start

A core part of our work is the IntentOne App SDK.

The SDK helps create a new behavioural signal layer by processing signals closer to where behaviour happens: on the device. In the IntentOne message map, this is described as Edge Signal Intelligence — a way to generate higher-value, time-sensitive context with stronger privacy posture and less reliance on cloud round-trips alone.

The SDK is designed to support:

• On-device signal processing
• Privacy-safe intelligence generation
• More timely behavioural context
• Integration with existing enterprise systems
• A start-small, expand-over-time deployment model

This is not a rip-and-replace architecture. New customers can start with the data they already have, then add more signal sources over time, including SDK-derived signals where relevant. That makes the system useful both for organisations with mature app ecosystems and for those starting from existing first-party data alone.

IntentOne is not another dashboard. It is not a CDP. It is not a campaign tool waiting for instructions.

It is the layer that helps enterprises make sense of changing customer context, preserve the "why this, why now," and route that context into existing tools and workflows. The message map describes it as an Opportunity Intelligence platform that works upstream of activation, turning behavioural signals into decision-ready opportunities and measurable outcomes.

We work at the intersection of:

• distributed signals
• on-device intelligence
• behavioural modelling
• explainability and lineage
• governance for agentic systems
• privacy by design
• enterprise integration

This means building systems that are not only intelligent, but also auditable, permissioned, and usable in regulated environments. IntentOne's design includes explainable outputs, approval paths, and auditability, with privacy and trust treated as foundational rather than optional.

We are interested in people who like hard problems in:

• applied AI
• mobile SDKs
• distributed systems
• privacy-preserving intelligence
• behavioural modelling
• agentic systems
• enterprise-grade product engineering

If that sounds like you, take a look at Intent HQ and what we are building.

• Website: https://www.intenthq.com
• IntentOne: https://intent.one
• Company: https://www.intenthq.com/company
• LXA x Intent HQ report: https://intenthq.com/agentic-marketing

Intent HQ 325M+ profiles managed 250B events processed daily