

KinesisIQ Platform
A Next-Gen AI Platform:
Our system uses natural language processing (NLP) and advanced machine learning to transform short survey responses into dynamic customer profiles that go far beyond spreadsheets or static analytics. Unlike traditional tools that only crunch numbers, we interpret open-ended text using neural networks to uncover intent, preferences, and engagement signals. These profiles are then matched in real-time with partner offers through a proprietary recommendation engine that balances three layers of data: store-specific responses, general customer characteristics, and civic engagement. The result is a unique, adaptive system that learns continuously from interactions, making the recommendations more personalized and valuable over time — a combination that forms the foundation of our intellectual property.
Email Us For a Free Trial: sales@digitalplacemaking.ca
KinesisIQ is the brain of the space - delivered as a scalable SaaS platform.
We’re transforming physical spaces into AI-powered smart hubs that connect with people in real time—creating interactive feedback zones that evolve each environment into a living entity, revealing behaviors and sentiments in the very context where they happen.
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KinesisIQ is an ethical, trust-first AI architected to empower smarter, engaged, and connected communities through location-aware insights grounded in moral integrity.
Why It’s Important to Know What a Space Is Doing—Not Just the Individuals Within It
Studying individuals gives you points. Studying the space gives you patterns. Patterns are where intelligence—and opportunity—lives.
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Spaces Have Collective Behaviors
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A space is more than a collection of people. It has rhythms, flows, and emergent patterns that no single individual reflects alone.
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Just like traffic isn’t understood by studying a single car, understanding a café, store, or public venue means analyzing the collective dynamics—how people interact with each other and with the environment.
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Contextual Intelligence Is Key
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The same person behaves differently depending on the space.
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In a library, they’re quiet.
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In a concert, expressive.
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In a shop, they might linger or impulse buy.
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It’s the space itself that influences and is influenced by behavior. To be intelligent, the system must understand what the space affords or restricts.
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It Enables Adaptive, Agentic Responses
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When KinesisIQ knows how a space is behaving—e.g., becoming crowded, slowing down, shifting to exploratory behavior—it can act like a steward of that environment.
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It can change tone, pacing, promotions, or even layout suggestions. This is agentic intelligence in real time—responding not just to people but to the mood of the room.
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It Enhances Predictive Accuracy
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Behavioral cohorts like “browsers” or “impulse responders” mean more when contextualized in the macro-pattern of the space.
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A “high engagement opt-in” in a quiet zone has different implications than one in a busy, shifting space.
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By understanding space-level signals, KinesisIQ gets closer to accurate forecasting—what’s likely to happen next.
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It Supports Better Decision-Making for Operators
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Businesses don’t need individual psych profiles. They need to know:
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When are people most receptive?
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When does a space convert best?
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When is foot traffic just noise?
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That’s space-first insight, turning venues into adaptive, living environments.
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A Next-gen Civic Intelligence Platform with Commercial Utility.
We’re transforming physical spaces into AI-powered smart hubs that connect with people in real time—creating interactive feedback zones that evolve each environment into a living entity, revealing behaviors and sentiments in the very context where they happen.

KinesisIQ: Smart Physical Space Activation
Behavioral cohorts are the foundation for real-time decision-making, promotions, and space optimization. They’re how your AI reads the pulse of the crowd — not by who people are, but by what they do.
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Real-time passive detection (e.g. foot traffic, dwell time, frequency)
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Interactive engagement layer (Wi-Fi login, QR scan, direct-to-wallet offers)
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Predictive + sentiment-aware agentic logic to tailor messaging
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Revenue through engagement-based activations, not just ads
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Examples of Behavioral Cohorts:
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Browsers – linger but don’t engage (e.g. long dwell time near promos but no tap)
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Impulse responders – react quickly to promotions
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Explorers – move between zones frequently, curious patterns
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Social connectors – groups that arrive or move together
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Repeat visitors – show up consistently across time or locations
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High-engagement opt-ins – log in to WiFi, scan QR, and interact often



With generous support from:

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