# Brilliant vs Flame Analytics

Brilliant records 2,426,610 monthly visits with -11.9% month-over-month growth and Freemium pricing. Flame Analytics records 22,598 monthly visits with -5.6% growth and Contact for Pricing pricing.

| Metric | [Brilliant](https://openaitools.app/tool/brilliant) | [Flame Analytics](https://openaitools.app/tool/flameanalytics-com) |
| :--- | :--- | :--- |
| Website URL | https://brilliant.org | https://flameanalytics.com |
| Categories | AI Course, AI Tutorial, AI For Data Analytics | AI For Data Analytics, AI Marketing, AI Data Mining, AI Lead Generation |
| Pricing Model | Freemium | Contact for Pricing |
| Monthly Visits | 2,426,610 | 22,598 |
| MoM Growth Rate | -11.9% | -5.6% |
| Primary Market | United States | Spain |
| Direct Visits | 1,204,931 | 5,946 |
| Review Score | 4.6 | 4 |
| Saved Count | 0 | 0 |
| Supported Platforms | Website | Website |

## Brilliant

Brilliant takes a different approach to learning: rather than watching long videos or reading dense textbooks, you build understanding by solving interactive problems. Lessons break big ideas down into small visual steps, so concepts in algebra, calculus, statistics, logic and Python become intuitive. The platform is designed for self-paced learners from roughly middle-school level up to college and beyond, and it adds a new AI tutor called Koji who asks guiding questions and sketches on screen to help you find answers yourself.

Beyond pure math, Brilliant covers computer science fundamentals, programming, data analysis and how modern AI actually works, including neural networks, tokenization and model reasoning. Each track uses mastery assessments that adapt to your level, revisiting weak spots and serving targeted practice so progress is measurable rather than vague. Real-world examples, such as image filters or password security, connect abstract ideas to everyday technology.

The platform is also used by schools and families. It is accredited by ACS WASC, certified under the kidSAFE/COPPA program, and offers classroom and teacher programs so educators can assign adaptive lessons and homework. For individual learners, the app is available on web and mobile, with progress syncing across devices.

**Pricing & Plans:** Brilliant uses a freemium model: a limited free experience is available, while a Premium subscription unlocks the full course library and unlimited practice. Annual plans are the cheapest per month, and there are separate school/classroom plans.

- **Interactive problem-based lessons:** Learn math, science, CS and AI through short, visual exercises that build intuition step by step rather than passive video watching.
- **Koji AI tutor:** A visual, interactive tutor that works on a shared canvas, asks guiding questions and gives hints without simply revealing the answer.
- **Adaptive mastery assessments:** Quizzes and reviews adapt to your level, tracking what you have mastered and resurfacing topics that still need work.
- **Coding and CS foundations:** Write and run real code to learn programming logic, algorithms, data structures and debugging skills relevant to the AI era.
- **Courses for schools and families:** Accredited classroom programs let teachers assign adaptive lessons, with kidSAFE/COPPA-certified privacy protections.

**Strengths:** Hands-on, visual format makes abstract concepts easier to grasp; Access to the Koji AI tutor that guides rather than gives away answers; Accredited and kidSAFE/COPPA certified, suitable for schools and families; Works across web and mobile with syncing progress

**Limitations:** Full course library requires a paid Premium subscription; Not a replacement for formal instruction or credentials; Some advanced or niche topics are not covered deeply

[Profile (Markdown)](https://openaitools.app/tool/brilliant.md)

## Flame Analytics

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.

- **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.

**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

[Profile (Markdown)](https://openaitools.app/tool/flameanalytics-com.md)

## Frequently Asked Questions

### How do Brilliant and Flame Analytics compare in monthly traffic?

Brilliant has 2,426,610 monthly visits, while Flame Analytics has 22,598. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Brilliant has a month-over-month growth rate of -11.9%; Flame Analytics has -5.6%.

### How does pricing compare?

Brilliant: Freemium. Brilliant uses a freemium model: a limited free experience is available, while a Premium subscription unlocks the full course library and unlimited practice. Annual plans are the cheapest per month, and there are separate school/classroom plans. Flame Analytics: Contact for Pricing. 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.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Coddy](https://openaitools.app/tool/coddy-tech) | 7,478,457 | +17.8% | Freemium | Focuses specifically on interactive programming and coding lessons, whereas Brilliant covers broad STEM and math concepts. | [.md](https://openaitools.app/tool/coddy-tech.md) |
| 2 | [Astra AI](https://openaitools.app/tool/astra-ai) | 7,356,157 | +40.3% | Freemium, Paid | Your personal AI tutor for every subject, from notes to exam day. | [.md](https://openaitools.app/tool/astra-ai.md) |
| 3 | [DataCamp](https://openaitools.app/tool/datacamp-com) | 6,237,230 | -0.4% | Freemium | Provides deep interactive training for data science and programming, but omits foundational math and general science topics. | [.md](https://openaitools.app/tool/datacamp-com.md) |
| 4 | [Up Learn](https://openaitools.app/tool/uplearn-co-uk) | 1,346,342 | +49.9% | Free Trial, Paid | AI-powered A Level and GCSE courses with a top-grades-or-refund guarantee | [.md](https://openaitools.app/tool/uplearn-co-uk.md) |
| 5 | [LabEx.io](https://openaitools.app/tool/labex-io) | 1,127,110 | -9.3% | Freemium | Learn Linux, DevOps, and cybersecurity by doing — inside real online labs. | [.md](https://openaitools.app/tool/labex-io.md) |
| 6 | [Gauth](https://openaitools.app/tool/gauth) | 619,147 | +180.7% | Free Trial | Excels at step-by-step homework solving and AI tutoring, but provides less structured visual concept-building courses. | [.md](https://openaitools.app/tool/gauth.md) |
| 7 | [Smartick](https://openaitools.app/tool/smartick-es) | 361,154 | -9.1% | Free Trial, Paid | Provides adaptive daily math and logic practice for children, but has less emphasis on advanced visual science lessons. | [.md](https://openaitools.app/tool/smartick-es.md) |
| 8 | [Khanmigo](https://openaitools.app/tool/khanmigo-ai) | 143,218 | -25.2% | Freemium, Paid | Offers Socratic AI tutoring and problem guidance, but lacks Brilliant's signature interactive visual math and science puzzles. | [.md](https://openaitools.app/tool/khanmigo-ai.md) |
| 9 | [Synthesis Tutor](https://openaitools.app/tool/synthesis-com) | 130,472 | -8.7% | Free Trial, Paid | Delivers gamified adaptive math tutoring for younger learners, whereas Brilliant caters to a broader, more advanced audience. | [.md](https://openaitools.app/tool/synthesis-com.md) |
| 10 | [TutorAI](https://openaitools.app/tool/tutorai) | 108,236 | +34% | Freemium | Generates customized AI courses instantly on any topic, but lacks the polished visual puzzles and curriculum structure of Brilliant. | [.md](https://openaitools.app/tool/tutorai.md) |

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Source: https://openaitools.app/compare/brilliant-vs-flameanalytics-com

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)