Aural: The AI-Powered Interview Platform for Deep Conversations and Automated Insights

Overview

Aural is an enterprise-grade, AI-powered interview platform designed to conduct structured, adaptive interviews at scale. It supports chat, voice, and video formats, allowing teams to focus on insights rather than administrative overhead. Whether for hiring, user research, or general data collection, Aural automates the heavy lifting of interview design, execution, and analysis.

Benefits

Aural simplifies the interview workflow into three core steps that save time and improve data quality. Users can describe what they want to learn, and Aural's AI generates a complete interview structure. Alternatively, users can build the structure manually using the platform's flexible editor. Participants join via a shared link through chat, voice, or video. The AI interviewer adapts in real-time, following up intelligently based on responses. Every session is automatically transcribed and summarized. Users can browse insights, track completion rates, and export structured data as XLSX or PDF.

Key advantages include:*Adaptive AI Conversations: The AI interviewer adjusts in real-time based on participant responses. Users can configure the tone to be casual, professional, or formal. They can also choose the follow-up depth to be light, moderate, or deep.*Multi-Modal Support: Meet participants where they are with support for text-based chat, natural voice conversations, and full video interviews.*Smart Question Types: The platform supports diverse question formats, including open-ended questions, multiple choice, rating scales, coding challenges, and whiteboard questions.*Multi-Language Support: Conduct interviews in English or Chinese with native AI understanding, allowing teams to reach participants in their preferred language.*Session Management: Participants can resume unfinished interviews. Teams can track every session in real-time and get automatic generation of full transcripts.*Teams & Projects: Organize interviews across multiple organizations and projects with seamless team access management.*Export & Integration: Export data as XLSX or PDF. Integrate with existing workflows programmatically via API.

Use Cases

Aural is built for developers and AI agents, offering robust integration options. It is ideal for teams looking to automate the entire lifecycle from design to analysis. The platform is accessible via web, iOS, and Android apps, allowing teams to manage interviews and review sessions on the go. Users can start immediately with a free tier that requires no credit card. The platform is available as a managed service or open-source project on GitHub.

Pricing

Aural offers a transparent pricing model with no hidden fees. Usage is measured in AI tokens. One typical interview uses 5 to 15 tokens depending on length and follow-up depth.

• Free: $0/month. Includes 3 templates, 100 AI tokens, 30 min session time, and 1 seat. No credit card required.
• Starter: $9/month. Includes 10 templates, 200 AI tokens, 3 hrs session time, 1 seat, and Email support.
• Basic: $24/month. Includes 10 templates, 500 AI tokens, 10 hrs session time, 1 seat, and Email support. This is the most popular plan.
• Pay As You Go: Variable pricing. Costs $0.08 per minute for session time, $0.02 per token for AI tokens, and $10 per seat per month for additional seats. All plans can exceed included limits.

Vibes

Users have praised Aural for its efficiency and natural interactions. Sarah M., Head of Talent at a SaaS Startup, said, "We used to spend 20+ hours a week on first-round screens. With Aural, we send a link and get structured reports back. It completely changed how we hire."

James K., Recruiting Lead at a Tech Company, noted, "The AI follow-ups are surprisingly natural. Candidates actually prefer the flexibility of completing interviews on their own time."

Lisa C., Product Manager at an Enterprise Software company, stated, "We run 50+ user research interviews a month now. Before Aural, that would have been impossible without a dedicated research team."

David R., VP of Engineering at a FinTech Startup, mentioned, "We replaced three different tools with Aural. The voice interviews feel like talking to a real person, and the transcripts are incredibly accurate."

Priya T., Director of UX Research at an E-commerce Platform, shared, "Our research team was skeptical at first, but after the pilot we couldn't go back. The depth of insight from AI-led interviews rivals our best human moderators."

Additional Information

Aural is built for developers and AI agents, offering robust integration options. It features a REST API with simple endpoints to create, manage, and track interviews via HTTP endpoints. Authentication uses Bearer token auth. Implementation is easy without additional libraries. Usage counts against organizational plans, and limits can be checked via the usage endpoint. Webhooks for session completion are coming soon.

The platform provides an OpenAPI spec for machine-readable specification for AI agent auto-discovery and code generation. Aural is fully open source under the MIT license, allowing teams to deploy the platform on their own infrastructure. The tech stack includes Next.js 14, TypeScript, Supabase, tRPC, Tailwind CSS, shadcn/ui, Monaco Editor, and Excalidraw. It supports pluggable LLMs compatible with OpenAI, Kimi, MiniMax, or any compatible API. Data control uses PostgreSQL with Row-Level Security to ensure data ownership. The platform supports multilingual locales and voice relays.

Performance metrics show Aural is 10x faster, significantly reducing the time spent on screening and data collection. It achieves 95% accuracy in transcription and insight generation.