| What it does | Turn content into insights: YouTube videos, podcasts, and files become transcripts, summaries, and daily briefs.
| Expert data development for frontier AI
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| Stage | Startup
| Established
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| Founded | 2025
| 2019
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| Based in | Not given
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| Pricing model | Freemium
| Contact for pricing
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| Pricing | Free: $0/mo (3 subscription slots, 30 transcription credits, AI summaries, translation, 5-day brief trial). Hobby: $12/mo or $9/mo annual (10 subscription slots, 100 transcription credits/mo). Standard: $29/mo or $21.75/mo annual (30 subscription slots, 500 transcription credits/mo, priority process
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| Key features | - YouTube and podcast transcription with AI-powered summaries and key points
- Daily brief: automated summaries of subscribed channels and podcasts delivered each morning
- Upload and extract: support for local video, audio files, PDFs, and article URLs
- Sip Together community: publicly share transcriptions and discover what others are watching
- Mindverse knowledge base: searchable repository of notes, transcriptions, and insights with tagging
- Export options: Markdown, PDF, and plain text formats
- Team Knowledge: summarize Slack, Telegram, and WhatsApp conversations into structured daily briefs
- Multi-language support: AI summaries and translation capabilities
| - Research-grade datasets with rubrics, reviewer guidance, difficulty tiers and eval slices
- Custom data development for specific failure surfaces and use cases
- Specialized agents built on expert data evaluated in real workflows
- Benchmark-grade environments and evaluation harnesses
- Provenance tracking with full audit trails for all labeled data
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| What makes it different | - Built on open-source foundation with 3,300+ GitHub stars, ensuring reliability and community validation
- No setup required: hosted product accessible immediately without technical deployment
- Free plan available without credit card requirement for core features
- Built with enterprise AI infrastructure and production-grade reliability from team with Lockheed Martin and Alibaba experience
| - Research-driven data lab focused on quality and frontier-hardness rather than volume
- Domain-specific benchmarks and evaluation environments built for real-world, high-stakes failures
- Research methodology published and peer-reviewed with 200+ papers
- Comprehensive data lifecycle from SFT to RL training to evaluation
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| Free plan | Not given
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| Open source | Not given
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| Platforms | Not given
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| Public API | Not given
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 29 ● no change since last check | 72 ● no change since last check |
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| Trust Flow (Majestic) | 20 | 24 |
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| Citation Flow (Majestic) | 21 | 42 |
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| Referring domains (Majestic) | 92 | 2315 |
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sipsip.ai
Snorkel AI