# Appen vs IntervAI Appen records 665,840 monthly visits with +0.2% month-over-month growth and Contact for Pricing pricing. IntervAI records 0 monthly visits with -100% growth and Freemium pricing. | Metric | [Appen](https://openaitools.app/tool/appen-com) | [IntervAI](https://openaitools.app/tool/intervai) | | :--- | :--- | :--- | | Website URL | https://appen.com | https://www.intervai.net | | Categories | AI Models, Large Language Models (LLMs), AI Developer Tools | AI Interview Assistant, AI Coaching, AI Resume Checker, AI Question Generator | | Pricing Model | Contact for Pricing | Freemium | | Monthly Visits | 665,840 | 0 | | MoM Growth Rate | +0.2% | -100% | | Primary Market | United States | Global | | Direct Visits | 238,314 | 0 | | Review Score | 4.4 | 4.2 | | Saved Count | 2 | 1 | | 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) ## IntervAI IntervAI replaces the slowest part of hiring — the first screening pass — with AI agents that never sleep. Recruiters publish a role, share a unique application link or pull candidates from their ATS, and IntervAI's agents evaluate resumes on potential rather than keywords, then invite qualified applicants to an asynchronous AI voice interview tailored to the role. Each interview is structured and role-specific, covering both technical and soft skills, and returns a transcript, scores and key highlights in a single report. Additional features include language assessment measured through spoken answers rather than certificates, cheat detection to flag inconsistencies, cross-job evaluation to compare candidates across open roles, and automated invitations, reminders and follow-ups. The platform integrates with more than 250 ATS systems — Greenhouse, Lever, Workday, BambooHR, Personio and others — and pushes notifications to Microsoft Teams with scheduling through Google Calendar. IntervAI states it is GDPR compliant and AI Act ready, does not store biometric data, and encrypts all information with access controls. It supports interviews in English, German, French, Spanish, Turkish and Arabic. **Pricing & Plans:** IntervAI offers a free early-access entry point and a demo-first, contact-for-pricing model. A savings calculator on the pricing page estimates automated interview volume, cost savings and hours saved, with custom quotes for startups, growing teams and enterprises. - **AI candidate screening:** AI agents filter applications at scale and score resume potential instead of relying on keyword matching. - **Async AI voice interviews:** Candidates complete structured voice interviews on their own time, with no scheduling and no interview panel required. - **Structured evaluation reports:** Every interview returns a transcript, role-specific scores and key highlights in one place. - **Language assessment and cheat detection:** Measure real spoken proficiency beyond certificates and flag inconsistencies that suggest inauthentic answers. - **250+ ATS integrations:** Sync candidate data and automate workflows with Greenhouse, Lever, Workday, BambooHR, Personio and many more. **Strengths:** Automates the slowest stage of hiring, from application to shortlist; Async voice interviews save candidates and hiring teams scheduling time; Connects to 250+ ATS platforms with Teams and Google notifications; Structured scoring, transcripts and cheat detection improve consistency **Limitations:** Focused on employer-side hiring rather than helping candidates practice; Requires candidates to be comfortable interviewing with an AI agent; Public pricing details are limited; quotes come through a demo [Profile (Markdown)](https://openaitools.app/tool/intervai.md) ## Frequently Asked Questions ### How do Appen and IntervAI compare in monthly traffic? Appen has 665,840 monthly visits, while IntervAI has 0. 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%; IntervAI has -100%. ### 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. IntervAI: Freemium. IntervAI offers a free early-access entry point and a demo-first, contact-for-pricing model. A savings calculator on the pricing page estimates automated interview volume, cost savings and hours saved, with custom quotes for startups, growing teams and enterprises. ## 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 | [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) | | 4 | [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) | | 5 | [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) | | 6 | [Metaview](https://openaitools.app/tool/metaview) | 259,340 | +54.3% | Freemium, Contact for Pricing | Agentic recruiting platform for sourcing, screening, and interviews | [.md](https://openaitools.app/tool/metaview.md) | | 7 | [Arize AI](https://openaitools.app/tool/arize-com) | 249,028 | +3.2% | Paid, Contact for Pricing | Agent observability, evaluation, and continuous improvement for production AI | [.md](https://openaitools.app/tool/arize-com.md) | | 8 | [Encord](https://openaitools.app/tool/encord-com) | 244,204 | +9.4% | Contact for Pricing | The multimodal data layer for computer vision and physical AI teams | [.md](https://openaitools.app/tool/encord-com.md) | | 9 | [Alex AI](https://openaitools.app/tool/alex-ai) | 235,876 | +49.3% | Contact for Pricing | An AI recruiter that interviews, verifies, and screens every applicant | [.md](https://openaitools.app/tool/alex-ai.md) | | 10 | [Defined.ai](https://openaitools.app/tool/definedcrowd-com) | 146,251 | -21% | Contact for Pricing | Offers pre-packaged AI training datasets and custom data collection services, but with a smaller global crowd than Appen. | [.md](https://openaitools.app/tool/definedcrowd-com.md) | --- Source: https://openaitools.app/compare/appen-com-vs-intervai More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)