Raiinmaker
Custom, ethically sourced video datasets and real-time human feedback for AI video model training and evaluation.
Raiinmaker stands out for AI teams needing custom, rights-cleared video data and real-time human feedback. The 2025 additions—TRAIIN VIDEO with Aethir, TheCitiizen, AI Video Showdown, and Solana Mobile—broaden its value beyond data supply. Compared to Scale AI, Raiinmaker is more video-specific and decentralized, but its contact-only pricing and crypto-native contributor rewards add friction. If you need instant self-serve access or transparent pricing, look elsewhere. If custom video data and RLHF evaluation are your priorities, it's a strong fit.
Verified 8d ago · liveness 69/100 · cite: rightaichoice.com/tools/raiinmaker
- Generative AI video teams needing custom, ethically sourced datasets
- Companies requiring real-time human feedback loops for model iteration
- Teams wanting RLHF-based video model evaluation
- Organizations prioritizing legal compliance over scraped or stock data
- Teams needing instant off-the-shelf datasets without custom pipeline setup
- Non-video AI training (images, audio, text) where video is not required
- Budget-conscious teams seeking transparent pricing without sales calls
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Skip Raiinmaker if you need instant off-the-shelf video datasets, transparent pricing without a sales call, or a self-serve platform that doesn't involve crypto-native onboarding.
Pricing is contact-only, so you can't estimate costs upfront; expect to invest time in sales calls before getting a quote.
Raiinmaker's pricing is custom and sales-led, fitting teams willing to negotiate for high-quality, ethically sourced video data. It's likely more expensive than self-serve alternatives like Scale AI's marketplace, but that cost buys compliance and rights-cleared footage. Crypto teams may find alignment with token-based incentives.
In short
Raiinmaker — Custom, ethically sourced video datasets and real-time human feedback for AI video model training and evaluation. Best for Generative AI video teams needing custom, ethically sourced datasets, Companies requiring real-time human feedback loops for model iteration, Teams wanting RLHF-based video model evaluation. Contact Sales pricing.
What's new in Raiinmaker
Checked 8 days agoAcross the latest 4 updates: 2 feature updates and 2 launches.
The Citiizen — Raiinmaker launches The Citiizen, an AI video model evaluation platform with real-time human feedback.
Introduces a dedicated evaluation platform that provides real-time human feedback for AI video models.
Raiinmaker's AI Video Showdown is Here!
Announces a community competition where users generate and judge video outputs to evaluate AI models.
Raiinmaker Partners with Aethir to Launch TRAIIN VIDEO to Power Ethical AI With Decentralized Compute
Introduces TRAIIN VIDEO, leveraging Aethir's decentralized compute infrastructure for ethical AI video training.
Raiinmaker x Solana Mobile: Unlocking the Future of Decentralized AI
Announces a collaboration with Solana Mobile to advance decentralized AI capabilities on mobile devices.
Viability Score
How well maintained and how widely used is Raiinmaker? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: September 2026
How we score →Key Features
- Custom video data pipelines for specific objects, scenes, behaviors, edge cases
- Natively captured, rights-cleared, metadata-rich video data (no stock or scraping)
- Real-time human feedback loop for model training and fine-tuning
- RLHF pipeline for AI video model evaluation
- Task-based testing for generative video models
- Global contributor network of 300K+ across 190 countries
- Mobile app for data contribution and validation
- Token-based rewards for contributors
- TRAIIN VIDEO: decentralized compute via Aethir partnership
- TheCitiizen: dedicated video model evaluation platform
- AI Video Showdown: community competition for video generation and evaluation
- Solana Mobile integration for decentralized AI on mobile
- Multiformat and multimodal data readiness (LLMs with video-grounded context)
- Dataset creation via quests with any parameter
- Typeform for sales contact
About Raiinmaker
Raiinmaker supplies custom, ethically sourced video datasets and real-time human feedback for training and evaluating generative AI video models. The platform activates a global network of 300,000+ human contributors across 190 countries who capture and validate natively shot videos through a mobile app. You define the parameters—specific objects, scenes, behaviors, or edge cases—and Raiinmaker fulfills your dataset quest. Every video is rights-cleared and metadata-rich, with no stock footage or scraping, which matters when compliance is non-negotiable. Beyond data supply, Raiinmaker offers an AI Video Model Eval service that uses task-based testing and an RLHF (reinforcement learning from human feedback) pipeline to deliver structured feedback on your model's outputs. Recent 2025 launches broaden the toolkit: TRAIIN VIDEO (with Aethir) adds decentralized compute, TheCitiizen is a dedicated evaluation platform, and the AI Video Showdown lets the community generate and judge video outputs. The Solana Mobile integration extends decentralized AI to mobile devices. Raiinmaker positions itself as a full-stack partner—data, evaluation, iteration—built on a human-in-the-loop backbone. Compared to traditional labeling platforms like Scale AI, it focuses specifically on decentralized, ethically sourced video with a built-in crowdsourcing mechanism. However, engagement is sales-led, and the crypto-native onboarding (token rewards, blockchain wallets) adds friction for teams wanting self-serve access.
Behind the Verdict
Raiinmaker addresses a real pain point: sourcing legally clean, custom video data for AI video models. Traditional platforms often rely on stock or scraped footage, which carries legal risk. Raiinmaker's model of using a global network of human contributors to capture and validate natively shot, metadata-rich videos is genuinely differentiated. The 2025 launches—TRAIIN VIDEO with Aethir for decentralized compute, TheCitiizen for evaluation, AI Video Showdown for community feedback, and Solana Mobile for mobile decentralization—show a company actively expanding its ecosystem. Strengths: - Ethically sourced, rights-cleared video data eliminates legal risk. - Real-time human feedback loop accelerates model iteration. - RLHF pipeline for evaluation is valuable for improving generative video quality. - Custom data pipelines let you specify exact objects, scenes, behaviors, or edge cases. - Multimodal readiness supports LLMs with video-grounded context. Weaknesses: - Contact-only pricing hides costs; you must engage sales to even get a quote. - Crypto-native onboarding (token rewards, blockchain wallets) adds friction for mainstream teams. - Turnaround time depends on contributor availability; not a self-serve instant-dataset solution. - The platform is video- and multimodal-specific; teams needing text or audio data will need other tools. - Documentation is thin; the site offers little detail on APIs or workflows. Where it fits: AI video startups, research labs, and enterprises that prioritize compliance and need custom video data for training or evaluation. It's especially good for teams that value human feedback loops and are comfortable with crypto. Where it doesn't fit: Teams needing instant off-the-shelf datasets, transparent pricing, or a self-serve platform without sales friction. If your focus is not video, look for specialized data providers.
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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.
Need a dataset of specific edge cases (e.g., rare weather conditions) for training a generative video model, but can't find suitable footage.
Outcome: Create a dataset quest with the exact parameters, activate the contributor network, receive natively captured, rights-cleared videos, and use them to update your model.
Want to evaluate your model's output quality against a fresh dataset to iterate quickly.
Outcome: Use the AI Video Model Eval service to send test generations through the RLHF pipeline, get structured feedback, and refine your model in real time.
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
- Compliance-focused teams that must avoid scraped or stock footage for legal reasons
Limitations
- Raiinmaker is a data and evaluation platform for AI video models, not an AI model itself; it provides ethically sourced video datasets and human feedback rather than generating outputs.
- The service relies on a global network of human contributors, so data turnaround may depend on contributor availability.
- Pricing and detailed access terms are not documented on the site.
- The platform specializes in video and multimodal data, which may not suit teams requiring other data types.
as of 2026-08-29
Verification history
We have re-verified Raiinmaker 19 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
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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 pricing is custom and sales-led, fitting teams willing to negotiate for high-quality, ethically sourced video data. It's likely more expensive than self-serve alternatives like Scale AI's marketplace, but that cost buys compliance and rights-cleared footage. Crypto teams may find alignment with token-based incentives.
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.
Setup involves a sales call to define your project, so time to first value depends on scoping—likely 1-2 weeks for dataset quest design and contributor activation. Evaluation services may start within days of signing. No self-serve setup is available.
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 more video-specific, ethically sourced data, Raiinmaker's custom pipelines and human feedback can replace Scale's more generic labeling services.
- ↗To Scale AI: If you need broader data types (images, text) and transparent self-serve pricing, Scale AI offers a wider range with more accessible onboarding.
Integrations
Resources & Guides
- Resourceraiinmaker.com
TheCitiizen
Helpful link from raiinmaker.com
- Resourceraiinmaker.com
How To Connect Your Wallet To Coin Ai
Helpful link from raiinmaker.com
- Resourceraiinmaker.com
Your Guide To The Raiinmaker App
Helpful link from raiinmaker.com
- Resourceraiinmaker.com
Your Guide To Coin Ai
Helpful link from raiinmaker.com
- Resourceraiinmaker.com
Guide To Burning Coin Coin Ai
Helpful link from raiinmaker.com
Tutorials & Learning
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