Turn Your Expertise Into Verified AI Data
Perlix AI turns expert knowledge into verified intelligence — rewarding
every contribution onchain.
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Our web3 platform connects enterprise AI demand with a global network of qualified contributors, transforming human expertise into auditable, high-quality data for model training and evaluation.
Built for High-Stakes AI
AI performance depends on the quality of its data. Perlix AI provides
infrastructure that makes human input measurable, auditable, and rewardable — ensuring that
every labeled image, annotated video, and reviewed element contributes to transparent, compliant
AI development.
Enterprise-Grade Accuracy
Multi-layer QA pipelines and consensus validation raise annotation precision to production standards.
Domain Expertise
Contributors are trained via structured modules before accessing tasks in fields like medicine, robotics, law, and engineering.
Onchain Traceability
Each verified contribution is logged immutably on Base, providing clear data lineage and qualitu assurance.
How It Works
From training to reputation, everything is verifiable.
Train & Verify
Complete domain-specific training modules to demonstrate proficiency
and unlock specialized tasks.
Annotate & Earn
Review, label, and validate multi-modal datasets: text, images, audio,
and video. Each action is tracked onchain and rewarded automatically.
Build Reputation
Review, label, and validate multi-modal datasets: text, images, audio,
and video. Each action is tracked onchain and rewarded automatically.
Enterprise Integration
AI teams access verified datasets with clear provenance and measurable
quality scores, reducing audit risk and accelerating production-ready model training.
Rewarding Human Intelligence
A transparent reward system that scales trust.
Perlix AI replaces opaque, crowdsourced annotation models with verifiable
participation. Every contribution helps determine rewards, quality tiers, and access to advanced
projects.
Transparent Incentives
Rewards are distributed algorithmically based on performance and accuracy.
Rewards are distributed algorithmically based on performance and accuracy.
Reputation-Based Access
High-performing contributors qualify for complex data tasks and higher-value rewards.
High-performing contributors qualify for complex data tasks and higher-value rewards.
Claimable Badges
Achievements unlock badges that showcase verified skills, reflecting contributor expertise.
Achievements unlock badges that showcase verified skills, reflecting contributor expertise.
Where AI Projects Meet Contributors
Real data, real applications.
Every project represents a real-world dataset used in active AI pipelines.
Contributors engage across varied categories that strengthen model performance in critical sectors.
Contributors engage across varied categories that strengthen model performance in critical sectors.
Health & MEDICAL
Annotate X-rays and other diagnostic imagery under verified
protocols that support accuracy, privacy, and compliance.
Engineering & INDUSTRIAL
Evaluate technical diagrams, blueprints, and process footage to
refine AI used in inspection, simulation, and quality assurance.
ROBOTICS & AUTONOMOUS driving
Identify roadside objects, traffic elements, and anomalies in
complex environments to improve machine vision and safety models.
LAW & POLICY REVIEW
Categorize text for legal reasoning, compliance mapping, and
document classification.
retail & commerce
Label product images, shelf displays, and receipts to strengthen visual
recognition, text extraction, and retail automation.
Powered by Base
Onchain infrastructure for verified participation.
Perlix AI runs on the Base blockchain to ensure every contribution, reward, and credential is transparent and verifiable. Base’s high throughout and low latency enable global participation without compromising speed or cost.
Perlix AI runs on the Base blockchain to ensure every contribution, reward, and credential is transparent and verifiable. Base’s high throughout and low latency enable global participation without compromising speed or cost.
