# Flame Analytics

According to OpenAITools.app telemetry verified on 2026-11-11, Flame Analytics (flameanalytics.com) is an AI platform indexed under AI For Data Analytics generating 22.6K monthly visits with a month-over-month traffic delta of -1.33K (-5.6%). Its primary geographic market is Spain (91.3% traffic share), and it operates on a Contact for Pricing pricing model. Top competing alternatives by monthly volume include Standard AI (4.5K visits/mo), viral.app (89.18K visits/mo), Polar Analytics (44.21K visits/mo).

AI video analytics that turns existing cameras into physical-space intelligence

## Key Telemetry & Specifications

| Metric | Value |
| :--- | :--- |
| Tool Name | Flame Analytics |
| Handle | flameanalytics-com |
| Status | active |
| Origin | independent |
| Maintenance | active |
| Official Domain | flameanalytics.com |
| Website URL | https://flameanalytics.com |
| Categories | AI For Data Analytics, AI Marketing, AI Data Mining, AI Lead Generation |
| Pricing Model | Contact for Pricing |
| Monthly Visits | 22,598 |
| MoM Traffic Change | -1,331 |
| MoM Growth Rate | -5.6% |
| Primary Market | Spain |
| Market Share | 91.3% |
| Direct Visits | 5,946 |
| Organic Search Visits | — |
| Social Visits | — |
| Referral Visits | 7,345 |
| Email Visits | 1,637 |
| Review Score | 4 |
| Saved Count | 0 |
| Supported Platforms | Website |
| Billing Platforms |  |
| Attributes | Features: Website; Pricing: Contact for Pricing |
| Tags | Video Analytics, AI Analytics, Physical Space Analytics, People Counting, Customer Journey, Retail Analytics, Shopping Mall Analytics, HyperSensor, Data Intelligence, Venue Performance |

## Overview

Flame Analytics targets anyone who runs a physical venue and needs to know what actually happens inside it. Retailers, shopping centres, supermarkets, hotels, banks, transport hubs and public venues connect their existing camera estate to the platform, and Flame's proprietary AI models turn that footage into real-time metrics. The core product is organised around three pillars: Traffic, which measures inside and outside footfall, monitors occupancy live and computes genuine conversion; Customer Journey, which tracks routes, dwell times and zone interactions to expose in-store behaviour; and Connect, which uses guest WiFi captive portals to capture, segment and market to visitors based on location, profile and behaviour.

Privacy is the defining design constraint rather than an afterthought. Flame's video technology is explicitly built without biometrics, so it does not identify individuals or store facial data, and the platform is positioned as GDPR-compliant by design. The company also emphasises hardware efficiency and reuse of existing cameras, which keeps deployment cost and effort down compared with rip-and-replace sensor rollouts. The reporting layer is aimed at non-technical operators as much as analysts: drag-and-drop dashboards, pre-built templates, dynamic reports, automated scheduling and more than 200 KPIs tailored to different venue types and use cases.

By design the platform is integration-friendly. It connects with leading CCTV and people-counting systems and plugs into cloud platforms, data lakes and enterprise analytics environments, so measurement can flow into the wider data ecosystem instead of living in isolation. Typical use cases span people counting, conversion analytics cross-checked with POS, heatmaps and dwell analysis, occupancy management with capacity alerts, queue and checkout-abandonment analytics, restroom cleaning schedules based on real usage, DOOH audience measurement for retail media sales, and guest or corporate WiFi access. The company is headquartered in Spain, publishes case studies and a partner programme, and sells mainly through a personalised demonstration with the customer's own data.

## Pricing & Plans

Flame Analytics does not publish public list pricing. The site routes buyers to a "Request a demo" flow and a personalised 20-minute session using the customer's own data and use case, so pricing is contact-for-pricing and typically depends on venue count, modules selected and camera infrastructure.

## Key Features & Capabilities

- **Traffic and conversion measurement:** Measure indoor and outdoor footfall, monitor occupancy in real time and calculate true conversion by cross-checking visitor data against POS transactions.
- **Customer journey and behaviour analysis:** Follow routes through the space, analyse dwell time and zone interactions, and read heatmaps and visit patterns to optimise each touchpoint.
- **Connect with guest WiFi:** Turn guest WiFi into capture, segmentation and marketing activation, launching personalised campaigns based on location, profile and behaviour.
- **Privacy-first, non-biometric AI:** Video analytics built without biometrics and positioned as GDPR-compliant by design, reusing existing CCTV hardware rather than requiring new sensor deployments.
- **200+ KPIs and automated reporting:** Drag-and-drop dashboards, pre-built templates, dynamic reports, scheduled delivery and more than 200 KPIs tailored to retail, malls, hospitality and transit.

## Primary Use Cases

- **Real conversion and checkout performance (Retail and supermarket operations):** Tie footfall to POS transactions to see true conversion, then use queue analytics and abandonment rates to fix checkout bottlenecks.
- **Occupancy, capacity and visitor flow (Shopping mall and venue management):** Monitor live occupancy against capacity thresholds, understand how visitors move between zones, and report venue performance across locations.
- **Audience proof and personalised activation (Marketing and retail media teams):** Measure real screen audiences to sell DOOH retail media, and use guest WiFi profiles to run location- and behaviour-based campaigns.
- **Service quality and staffing decisions (Hospitality and banking branches):** Track wait times, service zones and restroom usage to schedule cleaning and staff where demand actually is.

## Strengths

- Works on existing CCTV and people-counting hardware, limiting new capex and installation effort
- Non-biometric approach makes privacy and GDPR review notably easier for legal teams
- More than 200 KPIs with drag-and-drop dashboards aimed at non-technical venue managers
- Integrations with cloud platforms, data lakes and enterprise analytics avoid a data silo

## Limitations

- No transparent public pricing; budgeting requires a sales conversation and a tailored quote
- Accuracy of insights depends on camera placement and quality of the existing estate
- Full value typically requires multiple sites and POS or WiFi integration to be in place

## Frequently Asked Questions

### Does Flame Analytics use facial recognition?
No. The platform is deliberately built without biometrics; it analyses anonymous movement and occupancy data rather than identifying individuals, and is positioned as GDPR-compliant by design.

### Do we need to replace our cameras?
Flame is designed to run on the CCTV and people-counting infrastructure a venue already has, which reduces deployment cost and time. It also integrates with leading camera and counting vendors.

### How is conversion calculated?
Visitor traffic measured from video is cross-checked against point-of-sale transaction data, producing a real conversion rate for the store or venue rather than an estimate.

### What does it cost?
Pricing is not published. Flame runs a personalised demonstration using your own data and use case, and quotes based on modules, number of locations and existing infrastructure.

### What is Flame Analytics's monthly traffic and growth trend?
Flame Analytics currently receives 22.6K monthly visits, with a month-over-month traffic change of -1.33K (-5.6% growth rate). Its primary source market is Spain (91.3% share), including 5.95K direct visits/mo and — organic search visits/mo.

### Is Flame Analytics free? What is its pricing model?
Flame Analytics operates on a Contact for Pricing pricing model. Flame Analytics does not publish public list pricing. The site routes buyers to a "Request a demo" flow and a personalised 20-minute session using the customer's own data and use case, so pricing is contact-for-pricing and typically depends on venue count, modules selected and camera infrastructure. Supported billing and checkout platforms include: not listed.

### What are the best Flame Analytics alternatives in 2026?
Based on OpenAITools.app category traffic and feature fit, the top five alternatives to Flame Analytics are: 1. Standard AI (4.5K visits/mo); 2. viral.app (89.18K visits/mo); 3. Polar Analytics (44.21K visits/mo); 4. Simple Analytics (106.69K visits/mo); 5. BooleanMaths (30.69K visits/mo).

### Which platforms and core AI capabilities does Flame Analytics support?
Flame Analytics is classified under AI For Data Analytics, AI Marketing, AI Data Mining, AI Lead Generation, supports the following platforms: Website, and its core capability tags include: Video Analytics, AI Analytics, Physical Space Analytics, People Counting, Customer Journey, Retail Analytics.

## Alternatives

| Tool Name | Monthly Visits | Pricing Model | Compare |
| :--- | :--- | :--- | :--- |
| [Standard AI](https://openaitools.app/tool/standard-ai) | 4,496 | Contact for Pricing | [Compare](https://openaitools.app/compare/flameanalytics-com-vs-standard-ai) |
| [viral.app](https://openaitools.app/tool/viral-app) | 89,176 | Free Trial, Paid | [Compare](https://openaitools.app/compare/flameanalytics-com-vs-viral-app) |
| [Polar Analytics](https://openaitools.app/tool/polaranalytics-com) | 44,209 | Free Trial, Paid | [Compare](https://openaitools.app/compare/flameanalytics-com-vs-polaranalytics-com) |
| [Simple Analytics](https://openaitools.app/tool/simpleanalytics-com) | 106,690 | Freemium, Paid | [Compare](https://openaitools.app/compare/flameanalytics-com-vs-simpleanalytics-com) |
| [BooleanMaths](https://openaitools.app/tool/booleanmaths-pulse) | 30,692 | Free Trial, Contact for Pricing | [Compare](https://openaitools.app/compare/booleanmaths-pulse-vs-flameanalytics-com) |
| [Spatial.ai](https://openaitools.app/tool/spatial) | 7,304 | Paid | [Compare](https://openaitools.app/compare/flameanalytics-com-vs-spatial) |
| [Shortimize](https://openaitools.app/tool/shortimize) | 34,262 | Free Trial, Paid | [Compare](https://openaitools.app/compare/flameanalytics-com-vs-shortimize) |
| [Ipsotek](https://openaitools.app/tool/ipsotek-com) | 609 | Contact for Pricing | [Compare](https://openaitools.app/compare/flameanalytics-com-vs-ipsotek-com) |
| [TAWNY](https://openaitools.app/tool/tawny-ai) | 957 | Contact for Pricing | [Compare](https://openaitools.app/compare/flameanalytics-com-vs-tawny-ai) |
| [By the Numbers](https://openaitools.app/tool/bythenumbersapp-com) | 11,605 | Free Trial, Paid | [Compare](https://openaitools.app/compare/bythenumbersapp-com-vs-flameanalytics-com) |
| [MapZot.AI](https://openaitools.app/tool/mapzot-ai) | 7,146 | Contact for Pricing | [Compare](https://openaitools.app/compare/flameanalytics-com-vs-mapzot-ai) |
| [Lopus AI](https://openaitools.app/tool/lopus-ai) | 3,398 | Contact for Pricing | [Compare](https://openaitools.app/compare/flameanalytics-com-vs-lopus-ai) |

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Source: https://openaitools.app/tool/flameanalytics-com