# Dialpad vs Flame Analytics

Dialpad records 2,763,687 monthly visits with +10.7% month-over-month growth and Paid pricing. Flame Analytics records 22,598 monthly visits with -5.6% growth and Contact for Pricing pricing.

| Metric | [Dialpad](https://openaitools.app/tool/dialpad) | [Flame Analytics](https://openaitools.app/tool/flameanalytics-com) |
| :--- | :--- | :--- |
| Website URL | https://www.dialpad.com | https://flameanalytics.com |
| Categories | AI Customer Service, AI Sales Assistant, AI Call Center, AI Coaching | AI For Data Analytics, AI Marketing, AI Data Mining, AI Lead Generation |
| Pricing Model | Paid | Contact for Pricing |
| Monthly Visits | 2,763,687 | 22,598 |
| MoM Growth Rate | +10.7% | -5.6% |
| Primary Market | United States | Spain |
| Direct Visits | 1,999,735 | 5,946 |
| Review Score | 4.4 | 4 |
| Saved Count | 0 | 0 |
| Supported Platforms | Website | Website |

## Dialpad

Dialpad positions itself as an AI platform for customer experience, built around the idea that customer signals are scattered across channels and mostly go unheard. Instead of treating phone, video, messaging, and the contact center as separate tools, Dialpad connects them so every interaction shares context. Its agentic AI layer, Dialpad Resolve, can resolve routine work, escalate to humans with context intact, and learn from each outcome so the next interaction is smarter.

The platform spans four main products: Resolve for AI voice and digital agents, Support for a voice and digital contact center with analytics and workforce management, Sell for outbound sales with real-time coaching, and Connect for team collaboration across voice, video, and messaging. Real-time transcription, AI Recaps, live coach, AI scorecards, sentiment analysis, and CSAT scoring sit across these products, and integrations with Salesforce, Zendesk, Microsoft Teams, Google Workspace, HubSpot, and others keep context flowing into existing systems.

Dialpad targets businesses from small teams to large enterprises, emphasizing governed AI, unlimited scale, and enterprise-grade security and reliability. It is a strong fit for support and sales organizations that want AI woven into everyday communication rather than bolted on, and pricing is sales-led with quotes based on seats and product mix.

**Pricing & Plans:** Paid, sales-led pricing. Dialpad does not publish fixed self-serve tiers; costs depend on which products you use (Connect, Support, Sell, Resolve), seat count, and add-ons. A free trial and demo are available upon request.

- **Agentic AI with Dialpad Resolve:** Prebuilt and custom AI agents handle voice and digital support, take action with context, and escalate to humans when judgment is needed.
- **Unified voice, video, and messaging:** One collaboration app brings calls, meetings, and messages together so teams work with full context instead of switching tools.
- **AI contact center and analytics:** Real-time transcription, sentiment analysis, AI scorecards, CSAT, and workforce management help teams understand and improve every conversation.
- **Sales coaching and outbound tools:** Real-time coaching, power dialing, and automated follow-up help sales teams move faster and close more deals.
- **Deep integrations and governance:** Connects with Salesforce, Zendesk, Microsoft Teams, and more, with enterprise controls for building, testing, and governing AI.

**Strengths:** Combines agentic AI, contact center, sales, and team communications on one platform; Real-time transcription, coaching, and analytics improve both humans and AI over time; Broad integrations with Salesforce, Zendesk, Microsoft Teams, Google, and HubSpot; Scales from small teams to large enterprises with governance controls

**Limitations:** Pricing is sales-led, so costs are less transparent than self-serve plans; The full value requires adopting multiple products and integrations; Small teams may find the platform broader than they need

[Profile (Markdown)](https://openaitools.app/tool/dialpad.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 Dialpad and Flame Analytics compare in monthly traffic?

Dialpad has 2,763,687 monthly visits, while Flame Analytics has 22,598. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Dialpad has a month-over-month growth rate of +10.7%; Flame Analytics has -5.6%.

### How does pricing compare?

Dialpad: Paid. Paid, sales-led pricing. Dialpad does not publish fixed self-serve tiers; costs depend on which products you use (Connect, Support, Sell, Resolve), seat count, and add-ons. A free trial and demo are available upon request. 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 | [JustCall](https://openaitools.app/tool/justcall) | 780,285 | +11.8% | Paid | Strong focus on sales workflows and CRM integrations, but less robust built-in native voice analytics than Dialpad. | [.md](https://openaitools.app/tool/justcall.md) |
| 2 | [Glassix](https://openaitools.app/tool/glassix) | 300,739 | +6.6% | Free Trial, Paid, Contact for Pricing | Unified omnichannel inbox with strong AI agent deployment across voice and chat, but a smaller user community. | [.md](https://openaitools.app/tool/glassix.md) |
| 3 | [MiiTel](https://openaitools.app/tool/miitel-com) | 276,982 | +10.8% | Free Trial, Paid | Superior conversation scoring and voice pitch analytics for sales reps, but narrower omnichannel customer service features. | [.md](https://openaitools.app/tool/miitel-com.md) |
| 4 | [CallHippo](https://openaitools.app/tool/callhippo) | 273,071 | +16.9% | Free Trial, Paid | Easier setup for small teams needing virtual phone numbers, but lacks Dialpad's advanced AI voice intelligence suite. | [.md](https://openaitools.app/tool/callhippo.md) |
| 5 | [[24]7.ai](https://openaitools.app/tool/247-inc-com) | 273,001 | -4.5% | Contact for Pricing | Robust enterprise-grade conversational AI automation, but geared toward massive deployments rather than mid-market teams. | [.md](https://openaitools.app/tool/247-inc-com.md) |
| 6 | [Orum](https://openaitools.app/tool/orum-com) | 212,157 | -2.3% | Paid, Contact for Pricing | Purpose-built for high-volume sales prospecting with parallel dialing, but lacks inbound customer support call center features. | [.md](https://openaitools.app/tool/orum-com.md) |
| 7 | [Sendbird](https://openaitools.app/tool/sendbird) | 203,550 | +7.6% | Contact for Pricing | Highly customizable developer APIs for chat, voice, and video, but requires significantly more engineering to configure. | [.md](https://openaitools.app/tool/sendbird.md) |
| 8 | [Avoma](https://openaitools.app/tool/avoma-ai-meeting-assistant) | 193,867 | +7.5% | Freemium, Free Trial, Paid | Comprehensive meeting intelligence and CRM syncing, but lacks native cloud phone PBX and inbound call routing capabilities. | [.md](https://openaitools.app/tool/avoma-ai-meeting-assistant.md) |
| 9 | [Cresta](https://openaitools.app/tool/cresta) | 167,945 | +15.5% | Contact for Pricing | Advanced real-time agent coaching and enterprise AI automation, but significantly higher pricing and implementation complexity. | [.md](https://openaitools.app/tool/cresta.md) |
| 10 | [Simple Analytics](https://openaitools.app/tool/simpleanalytics-com) | 106,690 | -9.3% | Freemium, Paid | Cookie-free web analytics you can run without consent banners or personal data | [.md](https://openaitools.app/tool/simpleanalytics-com.md) |

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Source: https://openaitools.app/compare/dialpad-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)