Label Data. Earn Rewards. Power Better AI.
SupaFi is a decentralized platform where humans validate datasets and earn on-chain rewards through consensus-driven labeling. No annotation team. Just a global community of expert labelers.
Consensus Engine
Every label is validated by multiple humans with trust scores.
Instant Rewards
Earn tokens for both labeling and validation accuracy.
For Any Modality
Images, text, audio, and more with task-specific UIs.
Crop Disease Labeling
Which crop disease is this?
✔ Consensus reached
3 of 3 labelers agree (98.3% trust score)
Reward
+5 tokens
Jump into the app
Pick the flow that matches what you want to do today—set up your profile, publish a task, label data, or validate submissions.
Complete profile
Connect your wallet details with a name and email so we can track your rewards.
Go to complete profileCreate a task
Spin up a new labeling campaign with custom labels, rewards, and dataset type.
Go to task creationSubmit work
Choose a task, upload your data, pick a label, and earn rewards for quality work.
Go to submissionsValidate labels
Swipe through the feed, vote yes/no on submissions, and boost your reputation.
Go to validator feedThe Problem
AI Needs Clean Data. Most Companies Don't Have It.
Models are only as good as their datasets. Today, labeling is slow, expensive, and often wrong. Static annotation teams can't keep up with real-world data.
Noisy Datasets
Mislabels and inconsistent guidelines silently poison your models, increasing hallucinations and decreasing trust.
Slow Manual Labeling
Traditional workflows struggle to keep pace with ever-changing domains like crops, medical images, or safety content.
Expensive Annotation Teams
Centralized vendors lock you in with opaque quality metrics and rigid pricing structures.
The Solution
A Decentralized, Gamified Labeling Network.
SupaFi routes datasets to a global pool of vetted labelers. Consensus, trust scores, and AI checks work together to guarantee data quality—while contributors are rewarded in real time.
- 1
Company uploads dataset
Images, text, or events come in with task instructions.
- 2
Platform distributes tasks
Labelers see missions tailored to their expertise & trust score.
- 3
Consensus validation
Multiple independent labels, conflict resolution, and AI checks.
- 4
Earn + analytics
Contributors earn tokens; companies see real-time dataset health.
How It Works
Gamified missions that feel like a game, not a form.
Pick a Task
Choose from image, text, or review missions that match your interests.
Label the Dataset
Follow clear instructions with task-specific UIs and keyboard shortcuts.
Validate With Community
Agree or disagree with others, flag edge cases, and resolve conflicts.
Earn Rewards
Get paid in tokens for labels, validations, and streak bonuses.
Live Demo
Try an example task in 10 seconds.
This is a simplified preview of how a labeling mission feels on desktop, mobile, or as a PWA.
Which crop disease is this?
Rewards
Earn tokens for skill, not clicks.
SupaFi rewards expertise, streaks, and consensus accuracy—so the best labelers naturally rise to the top.
Per-task rewards
Dataset label reward: 2 tokens Validation bonus: 1 token Accuracy bonus: +20% Leaderboard boosts each week
Progression & streaks
Daily missions, streak multipliers, and seasonal events keep labeling sessions short, focused, and rewarding.
Transparent scoring
Every contributor has a visible trust score, accuracy stats, and category strengths to help companies route the hardest tasks.
Community
Top labelers this week.
A global leaderboard showcases consistent, high-quality contributors across different domains.
For Companies
Ship production-ready datasets without building an annotation team.
Plug your datasets into a curated, global pool of labelers with transparent quality metrics and real-time analytics.
- Faster labeling via parallel, global missions.
- Consensus-based validation and anomaly detection built in.
- Cheaper and more transparent than traditional annotation vendors.
- • Detect label conflicts across annotators and time.
- • Highlight suspicious labelers and unusual behavior.
- • Summarize dataset quality, coverage, and drift.
- • Generate shareable reports for internal stakeholders.
Ready to Launch?
Start earning by labeling data—or upload your first dataset—today.
Join the community, complete your first mission in under 60 seconds, and see real-time impact on AI models.