# Dialpad vs Hackules

Dialpad records 2,763,687 monthly visits with +10.7% month-over-month growth and Paid pricing. Hackules records 0 monthly visits with 0% growth and Contact for Pricing pricing.

| Metric | [Dialpad](https://openaitools.app/tool/dialpad) | [Hackules](https://openaitools.app/tool/hackules) |
| :--- | :--- | :--- |
| Website URL | https://www.dialpad.com | https://hackules.com |
| Categories | AI Customer Service, AI Sales Assistant, AI Call Center, AI Coaching | AI Consulting, AI ERP, AI Workflow |
| Pricing Model | Paid | Contact for Pricing |
| Monthly Visits | 2,763,687 | 0 |
| MoM Growth Rate | +10.7% | 0% |
| Primary Market | United States | Global |
| Direct Visits | 1,999,735 | 0 |
| Review Score | 4.4 | 4.2 |
| Saved Count | 0 | 5 |
| 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)

## Hackules

Hackules organises its work around four connected research areas: Bangla AI, applied AI research, sovereign AI infrastructure, and innovation programmes and partnerships. Rather than reselling access to someone else's API, the lab collects and cleans its own corpora, trains its own models, writes its own benchmarks and designs the deployment blueprints — with the stated goal that partners end up owning and operating the resulting systems themselves.

Its flagship output is Sangbad-SLM, a 0.8-billion-parameter Bangla news language model trained on a proprietary Bangla news corpus and sized to run on modest GPU or CPU hardware. Around it sit pipelines for a Bangla corpus engine, low-resource LLM training, sovereign evaluation benchmarks and a national inference pipeline blueprint. Applied work covers document and data intelligence, computer vision, forecasting and retrieval-augmented assistants, measured against real-world local data.

Founded in Dhaka in 2021, the lab works with government agencies, universities, NGOs and enterprises, and has been an AWS Activate grant recipient and backed by BYLC Ventures and a Bangladesh accelerator. Domains it focuses on include public sector services, media and journalism, education, healthcare, finance and development programmes. Engagement typically follows a frame–research–pilot–transfer cycle, with the final step being deployment on the partner's own infrastructure plus training so their team can extend the system.

**Pricing & Plans:** Hackules does not publish standard product pricing. It operates on a partnership and research-collaboration model — joint research, pilots, proof of concepts and long-term support are scoped per engagement. Prospective partners are invited to contact the lab with their research question, data or problem, and the team aims to respond within one business day.

- **Bangla-first language models:** Trains its own Bangla language, speech and multimodal models rather than only fine-tuning existing weights, including the 0.8B-parameter Sangbad-SLM news model.
- **Sovereign infrastructure blueprints:** Designs on-premise and private-cloud inference pipelines, MLOps, data governance and compute strategy so institutions run models on their own servers and data.
- **Low-resource training methods:** Research and pretraining techniques tuned for limited compute budgets, so capable models stay affordable to build and to operate at national scale.
- **Applied AI engineering:** Document intelligence, computer vision, predictive modelling and retrieval-augmented assistants delivered as working systems and evaluated against real-world data.
- **Joint research and capacity building:** Programmes spanning short pilots to multi-year joint research, with training so partner teams can carry the work forward independently.

**Strengths:** Purpose-built for Bangla and other under-served, low-resource languages rather than adapted from English-first models; Sovereign-by-design deployments support data residency, access policies and audit trails on the partner's own hardware; Full stack ownership — corpora, training, benchmarks and infrastructure — so systems are understood end to end; Established institutional track record, including government, NGO and enterprise pilots plus an AWS Activate grant

**Limitations:** No public pricing or self-serve signup; everything goes through a partnership conversation; Deliverables are largely bespoke research and pilots, so timelines and outcomes vary by engagement; Much of the research output is regionally focused, which may not suit organisations outside its core domains

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

## Frequently Asked Questions

### How do Dialpad and Hackules compare in monthly traffic?

Dialpad has 2,763,687 monthly visits, while Hackules has 0. 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%; Hackules has 0%.

### 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. Hackules: Contact for Pricing. Hackules does not publish standard product pricing. It operates on a partnership and research-collaboration model — joint research, pilots, proof of concepts and long-term support are scoped per engagement. Prospective partners are invited to contact the lab with their research question, data or problem, and the team aims to respond within one business day.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Open WebUI](https://openaitools.app/tool/open-webui) | 804,534 | -2.8% | Freemium | Self-hosted AI workspace for local and cloud models | [.md](https://openaitools.app/tool/open-webui.md) |
| 2 | [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) |
| 3 | [Lingvanex](https://openaitools.app/tool/lingvanex) | 661,553 | -9% | Contact for Pricing | On-premise translation and speech recognition for enterprises | [.md](https://openaitools.app/tool/lingvanex.md) |
| 4 | [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) |
| 5 | [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) |
| 6 | [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) |
| 7 | [[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) |
| 8 | [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) |
| 9 | [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) |
| 10 | [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) |

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Source: https://openaitools.app/compare/dialpad-vs-hackules

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