Raiinmaker
Decentralized video data & human feedback for AI video model training
Best for AI video teams needing custom, legally compliant datasets with human feedback loops. Crypto-native onboarding and contact-only pricing limit accessibility, but the global contributor network and recent 2025 launches make it compelling. If you need non-video data or a no-crypto workflow, look elsewhere.
Verified 18d ago · liveness 68/100 · cite: rightaichoice.com/tools/raiinmaker
- AI teams training generative video models needing custom, ethically sourced datasets
- Companies requiring real-time human feedback loops for video model iteration
- Teams needing RLHF pipelines for video model evaluation and improvement
- Organizations that prioritize data legal compliance and avoid scraped data
- Teams needing instant off-the-shelf datasets without custom pipeline setup
- Non-video model training (images, audio, text only) where video is not required
- Budget-conscious teams with undisclosed pricing that may be premium
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Skip Raiinmaker if you are not training generative AI video models, if you need instant off-the-shelf datasets, if you are not comfortable with blockchain wallets and token rewards, or if you need non-video data modalities like text or audio.
Pricing is contact-only with no public tiers, making it impossible to estimate costs without a sales call.
Raiinmaker's contact-only pricing targets teams that value custom video data quality over cost. It's likely premium compared to self-serve platforms like Scale AI's public tiers, but for video-specific RLHF and rights-cleared data, cheaper than building an in-house capture team. Not suitable for startups on a tight budget without sales engagement.
In short
Raiinmaker — Decentralized video data & human feedback for AI video model training. Best for AI teams training generative video models needing custom, ethically sourced datasets, Companies requiring real-time human feedback loops for video model iteration, Teams needing RLHF pipelines for video model evaluation and improvement. Contact Sales pricing.
What's new in Raiinmaker
Checked 18 days agoAcross the latest 5 updates: 5 launches.
TheCitiizen — Launched TheCitiizen, a tool for video model evaluation and dataset creation
Launched TheCitiizen, a decentralized tool for video model evaluation and dataset creation leveraging human feedback.
Raiinmaker’s AI Video Showdown is Here!
Launched AI Video Showdown, a community competition for generating and evaluating AI video content.
Raiinmaker Partners with Aethir to Launch TRAIIN VIDEO to Power Ethical AI With Decentralized Compute
Partnered with Aethir to launch TRAIIN VIDEO, a decentralized compute network for ethical AI video generation.
Raiinmaker x Solana Mobile: Unlocking the Future of Decentralized AI
Partnered with Solana Mobile to bring decentralized AI capabilities to mobile devices via Solana dApp store.
Human-Validated Intelligence at Scale: Introducing TRAIIN AGENT
Launched TRAIIN AGENT for human-validated AI training data at scale, combining AI and human oversight.
Viability Score
How likely is Raiinmaker to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
Last calculated: July 2026
How we score →Key Features
- Custom video data pipelines for specific objects/scenes/behaviors/edge cases
- Natively captured video with rich metadata from mobile contributors
- Ethically sourced, rights-cleared video data
- Real-time human feedback loop for model training and fine-tuning
- AI model evaluation with RLHF pipeline
- Task-based testing for generative video models
- 300K+ global human contributors across 190 countries
- Delegated compute via Aethir partnership (TRAIIN VIDEO)
- Mobile app for data contribution and validation
- Token-based reward system for contributors (blockchain wallet required)
- Multiformat and multimodal data readiness
- Custom dataset creation with specific parameters
- Full rights-cleared video catalog for training
- TheCitiizen video model evaluation tool
- Solana Mobile integration for decentralized AI on mobile
About Raiinmaker
Raiinmaker is a decentralized platform providing custom, ethically sourced video datasets and real-time human feedback for training and evaluating generative AI video models. It connects AI teams with a global network of 300K+ active contributors across 190 countries who capture and validate video data via a mobile app. The platform offers custom data pipelines for specific objects, scenes, behaviors, and edge cases, ensuring data relevance and legal compliance. Every video is natively captured, rights-cleared, and enriched with metadata. Unlike competitors relying on scraped or stock footage, Raiinmaker delivers fully licensed content. In 2025, Raiinmaker launched several innovations: TRAIIN AGENT for human-validated data at scale, TRAIIN VIDEO in partnership with Aethir for decentralized compute, and TheCitiizen for video model evaluation and dataset creation. The platform also integrated with Solana Mobile to unlock decentralized AI capabilities on mobile devices. Raiinmaker positions itself as a full-stack solution for video data curation and model iteration, particularly for teams prioritizing data ethics and compliance. The AI Video Showdown community competition further validates generative video outputs through human feedback.
Behind the Verdict
Raiinmaker solves a real pain point: sourcing high-quality, ethically cleared video data for generative AI. Most alternatives rely on scraped web videos or synthetic footage, which carries legal risk. Raiinmaker's global network of mobile contributors captures fresh, real-world video that is rights-cleared and metadata-rich. The 2025 launches add serious muscle. TRAIIN AGENT combines AI and human validation at scale, TRAIIN VIDEO taps Aethir's decentralized GPUs for compute, and TheCitiizen gives teams a dedicated evaluation tool. The AI Video Showdown community competition also creates a feedback loop for model improvement. We'd reach for this when you need vertical-specific video data—think autonomous driving scenes, retail shelf behaviors, or medical procedures. The custom pipeline setup means you're not stuck with generic stock footage. Where it bites: pricing is undisclosed and likely premium. You also need a crypto wallet and comfort with tokenomics to reward contributors—a barrier for traditional enterprises. There's no free trial or self-serve tier, so expect a sales process. Compared to Scale AI or Surge AI, Raiinmaker is more niche (video-only) but offers stronger ethics guarantees and real-time feedback loops. If your team is crypto-averse or needs multimodal data beyond video, you'll want to evaluate alternatives. In practice, the platform works best for AI teams that control their own budgets and have legal/compliance teams who value rights-cleared data. The community is active, and recent partnerships show momentum. But it's not plug-and-play; expect a setup process.
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Real-world workflow fit
Concrete scenarios for the personas Raiinmaker actually fits — and what changes day-one when you adopt it.
You need a dataset of 10,000 videos of people walking dogs in various urban environments to improve your generative video model's backgrounds.
Outcome: Create a video dataset quest with parameters (urban, dog walking). Raiinmaker activates contributors globally. Within days, you receive natively captured, meta-data rich, rights-cleared videos. Use them to fine-tune your model.
You want to evaluate your latest video model's output quality for a new feature before launch.
Outcome: Use Raiinmaker's AI Model Eval tool. Contributors generate videos using your model and then rate them via RLHF. You receive detailed human feedback on realism, consistency, and appeal. Iterate quickly based on data.
Use Cases
- AI teams needing custom, ethically sourced video datasets for training generative video models
- Researchers evaluating video model outputs via human feedback and RLHF
- Blockchain projects seeking decentralized compute for AI training
- Video model developers needing rapid iteration with real-time feedback on fresh data
Limitations
- The platform requires a blockchain wallet for token-based reward system, adding friction for non-crypto users.
- Pricing is contact-only with no publicly available tiers.
- Focus on video data may not suit teams needing other modalities.
- Enterprise adoption is still nascent.
as of 2026-06-29
Where the pricing makes sense
The company stage and team size where Raiinmaker's pricing actually pencils out — and where peers do it cheaper.
Raiinmaker's contact-only pricing targets teams that value custom video data quality over cost. It's likely premium compared to self-serve platforms like Scale AI's public tiers, but for video-specific RLHF and rights-cleared data, cheaper than building an in-house capture team. Not suitable for startups on a tight budget without sales engagement.
Setup time & first value
How long it actually takes to get something useful out of Raiinmaker — broken out by persona, not the marketing-page minute.
For dataset creation: first custom pipeline may take a few days to set up with sales team. Subsequent datasets can be activated in minutes via the dashboard. Model eval setup is straightforward: integrate your model's API (likely a few hours of engineering). Getting your team accustomed to blockchain wallets adds some initial friction.
Switching to or from Raiinmaker
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From Scale AI: If you need video-specific, rights-cleared data, Raiinmaker's custom pipelines may replace Scale's data labeling offerings.
- →From synthetic data vendors: Raiinmaker's natively captured real-world video can replace or augment synthetic datasets for edge-case coverage.
- ↗To Scale AI: If you need multi-modal or text data, Scale AI offers broader support beyond video.
- ↗To internal data collection: If you have the resources, building your own contributor network gives more control but higher overhead.
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