Flame Analytics

Flame Analytics is an AI video analytics platform for physical spaces that turns camera footage and connected data into real-time metrics on traffic, occupancy, customer journey, and conversion. It is positioned for retail and other customer-facing sites, with anonymous processing and no biometrics.

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What Flame Analytics is

Flame Analytics is an AI video analytics platform for physical spaces. It turns camera footage and related data into real-time information about traffic, occupancy, customer journey, and conversion.

The site positions the product for retail and other customer-facing environments such as shopping centers, hotels, restaurants, and similar physical locations. Its messaging emphasizes operational visibility, data-driven decisions, and anonymous processing without biometrics.

Core features

Real-time video analytics

Converts camera video into operational metrics in real time, including traffic, occupancy, customer journey, and conversion.

Traffic and journey analysis

Tracks movement and route patterns so teams can understand how visitors move through a space and where they convert.

Occupancy measurement

Measures occupancy and helps teams monitor how crowded a store or site is at different moments.

Hardware-agnostic data connection

Connects with existing hardware and data inputs such as CCTV, people counters, Wi‑Fi, and POS systems.

Cloud-based multi-site management

Manages one site or many locations from a cloud platform, making it suitable for distributed networks.

Anonymous, privacy-focused processing

Processes data anonymously without biometrics, with privacy positioned as a built-in design principle.

Typical use cases

Store performance analysis
Retail teams can measure traffic, occupancy, and conversion to understand store performance and compare locations.
Mall and center management
Shopping center operators can track visitor flow and movement patterns to understand how people move through common areas and retail units.
Hospitality operations
Hotels and hospitality teams can use connected data to understand guest behavior and support service decisions.
Venue flow monitoring
Restaurants and other venue operators can review how visitors move through the space and use occupancy data to inform daily operations.
Network-wide oversight
Multi-location businesses can centralize analytics in one cloud platform and manage sites remotely.

Pros and Cons

Pros

Focuses on practical store and site metrics rather than generic dashboard reporting.
Supports multiple data inputs, including CCTV, people counters, Wi‑Fi, and POS sources.
Designed for multi-site management from a single cloud platform.
Uses anonymous processing and explicitly states a no-biometrics, GDPR-by-design approach.

Cons

Pricing is not available on the current pricing URL, which returns a 404 page.
The provided source materials do not include detailed public information about APIs, export formats, or named third-party integrations.

FAQ

What does Flame Analytics do?

The site describes Flame as an AI video analytics platform for physical spaces. It turns video into real-time information such as traffic, occupancy, customer journey, and conversion.

What kinds of spaces is it for?

The source materials point to retail as a named use case, but the homepage and country pages also reference shopping centers, hotels, restaurants, and other physical spaces.

What data sources can it connect to?

The product pages state that Flame works with existing hardware and data sources such as CCTV, people counters, Wi‑Fi, and POS systems.

How does Flame handle privacy?

The source says Flame processes data anonymously, without biometrics, and is GDPR by design.

Quick Facts

Category: AI video analytics
Primary users: Retail, shopping centers, hotels, restaurants, and other physical spaces
Deployment: Cloud platform
Data sources: CCTV, people counters, Wi‑Fi, POS
Privacy: Anonymous processing, no biometrics, GDPR by design
Website: flameanalytics.com