# Appen vs Dialpad Appen records 665,840 monthly visits with +0.2% month-over-month growth and Contact for Pricing pricing. Dialpad records 2,763,687 monthly visits with +10.7% growth and Paid pricing. | Metric | [Appen](https://openaitools.app/tool/appen-com) | [Dialpad](https://openaitools.app/tool/dialpad) | | :--- | :--- | :--- | | Website URL | https://appen.com | https://www.dialpad.com | | Categories | AI Models, Large Language Models (LLMs), AI Developer Tools | AI Customer Service, AI Sales Assistant, AI Call Center, AI Coaching | | Pricing Model | Contact for Pricing | Paid | | Monthly Visits | 665,840 | 2,763,687 | | MoM Growth Rate | +0.2% | +10.7% | | Primary Market | United States | United States | | Direct Visits | 238,314 | 1,999,735 | | Review Score | 4.4 | 4.4 | | Saved Count | 2 | 0 | | Supported Platforms | Website | Website | ## Appen Appen is one of the oldest pure-play AI data companies, tracing its roots to 1996 when it began building human-labeled datasets for speech recognition and NLP. Over three decades it supported successive generations of model development — search relevance in the 2000s, machine translation, deep-learning vision annotation, Transformer-era semantics, GPT-3 scale corpora, RLHF for conversational AI, and now agentic and multimodal foundation models. Today Appen positions itself around six specialised capability areas: Frontier Alignment (chain-of-thought reasoning traces, SME RLHF, supervised fine-tuning demonstrations, adversarial red teaming), Agentic AI (golden trajectories, RL environment design, failure-mode taxonomies, SWE-driven evaluation), Multimodal and Speech AI (multilingual ASR and conversational corpora, expressive TTS annotation, VLM training data, video action labelling), Physical AI (LiDAR point-cloud annotation, multi-camera sensor fusion, robotics demonstration trajectories, world-model rollouts), Model Integrity (hallucination benchmarking, bias detection, regulatory audits and continuous monitoring), and Research Services (context engineering, calibrated LLM-as-a-judge, synthetic data and custom benchmarking). Delivery runs through Appen's AI Data Platform (ADAP), which blends automation with human oversight, and the company cites SOC 2 and ISO 27001 certification, 500+ global locales, and a client roster that includes major cloud, search, retail and aerospace organisations. Appen does not publish self-serve pricing; engagements start with a scoping conversation and are quoted per project, so cost depends on data volume, language coverage, modality and annotation complexity. **Pricing & Plans:** Enterprise/contact-for-pricing. Appen does not publish self-serve plans; projects are scoped and quoted individually. Appen also sells off-the-shelf (OTS) datasets and crowd/contractor workforce programs with separate terms. - **Frontier alignment data:** Chain-of-thought reasoning traces, SME-level RLHF, supervised fine-tuning demonstrations and adversarial red teaming for the most capable models. - **Agentic AI datasets:** Golden trajectories, RL environment design, failure-mode taxonomies and software-engineering-driven deep evaluation for autonomous agents. - **Multimodal and speech corpora:** Multilingual ASR and conversational speech data, expressive TTS annotation, vision-language model training data, video action labelling and voice-agent evaluation. - **Physical AI annotation:** LiDAR point-cloud labeling, multi-camera sensor fusion, robot demonstration trajectories, world-model rollouts and embodied interaction logs. - **Model integrity and evaluation:** Hallucination benchmarking, bias detection, regulatory audits and continuous monitoring, plus independent model evaluation. - **AI Data Platform (ADAP):** A production platform that combines automation with human oversight, with SOC 2 and ISO 27001 certification and 500+ locales covered. **Strengths:** Three decades of annotation methodology, tooling and workforce management experience; Very broad coverage: frontier alignment, agentic, speech, multimodal, physical AI and evaluation in one vendor; 500+ locales and multilingual expertise that most in-house teams cannot match; Enterprise-grade security posture (SOC 2, ISO 27001) and publicly listed governance **Limitations:** No transparent self-serve pricing; every engagement requires a sales/scoping cycle; Enterprise-oriented contracts can be heavy for small teams or indie developers; Quality depends on workforce management, so results vary by project and locale; Overlaps with many cheaper specialist annotation vendors, making vendor selection non-trivial [Profile (Markdown)](https://openaitools.app/tool/appen-com.md) ## 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) ## Frequently Asked Questions ### How do Appen and Dialpad compare in monthly traffic? Appen has 665,840 monthly visits, while Dialpad has 2,763,687. Traffic estimates describe audience size, not product quality. ### How do their growth rates compare? Appen has a month-over-month growth rate of +0.2%; Dialpad has +10.7%. ### How does pricing compare? Appen: Contact for Pricing. Enterprise/contact-for-pricing. Appen does not publish self-serve plans; projects are scoped and quoted individually. Appen also sells off-the-shelf (OTS) datasets and crowd/contractor workforce programs with separate terms. 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. ## Alternatives | # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) | | :--- | :--- | :--- | :--- | :--- | :--- | :--- | | 1 | [Prolific](https://openaitools.app/tool/prolific-com) | 18,697,671 | -1.8% | Paid | Connects teams directly with verified human participants for preference tuning and studies, but lacks managed end-to-end labeling pipelines. | [.md](https://openaitools.app/tool/prolific-com.md) | | 2 | [Invisible Technologies](https://openaitools.app/tool/invisible-technologies-inc) | 1,364,520 | +64.4% | Contact for Pricing | Blends custom software with dedicated human expert teams to handle complex operations, but operates as a bespoke service. | [.md](https://openaitools.app/tool/invisible-technologies-inc.md) | | 3 | [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) | | 4 | [Labelbox](https://openaitools.app/tool/labelbox) | 762,803 | -22.8% | Contact for Pricing | Combines robust data labeling tools with automated workflows, but focuses more on software tooling than managed human workforces. | [.md](https://openaitools.app/tool/labelbox.md) | | 5 | [Scale](https://openaitools.app/tool/scale) | 616,915 | +12.5% | Contact for Pricing | Provides enterprise-grade AI training data and model evaluation at massive scale, but often with higher enterprise pricing. | [.md](https://openaitools.app/tool/scale.md) | | 6 | [SuperAnnotate](https://openaitools.app/tool/super-annotate) | 386,034 | +37.4% | Free Trial, Contact for Pricing | Delivers advanced multimodal data curation and annotation infrastructure, but requires your own annotation workforce for labeling tasks. | [.md](https://openaitools.app/tool/super-annotate.md) | | 7 | [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) | | 8 | [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) | | 9 | [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) | | 10 | [[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) | --- Source: https://openaitools.app/compare/appen-com-vs-dialpad More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)