Global Inference Data Labeling

Privacy-Preserving & Decentralized Data Labeling Platform

DLM leverages homomorphic encryption and federated learning to transform data annotation, enabling privacy-preserving interoperability and algorithmic consensus for next-generation AI model training.

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Powering AI Growth
on a Global Scale

The inefficiencies of manual data annotation such as latency, high costs, and error-prone processes are being redefined by DLM.

DLM incorporates machine learning-powered auto-labeling, federated learning, and homomorphic encryption to enhance labeling efficiency, privacy, and security.

DLM incorporates machine learning-powered auto-labeling, federated learning, and homomorphic encryption to enhance labeling efficiency, privacy, and security.

Data Marketplace

Tokenized data products, fractional ownership, and data licensing.

Quality Control

Reputation system, accuracy mechanisms, and incentive-based rewards for high-quality labelers.

Data Ingestion & Tokenization

Integration with various on-chain sources, data splitting, and tokenization for privacy.

Data Labeling Marketplace

Task creation, labeler matching, and token rewards.

Secure Data Processing

Homomorphic encryption and federated learning.

Token Economy

Staking, governance participation, and fees for platform use.

The First Blockchain-Powered Data Labeling Solution

DLM decentralized tokenization of labeled data enables fractional ownership and cross-chain operations, ensuring scalable, compliant AI model training and deployment at a global level.

A Beginner’s Guide to Liquid Staking and Earning Rewards on DLM

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Tokenized Data: How Blockchain is Revolutionizing the Data Labeling Market

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The Role of Privacy in AI Data Labeling: How DLM Protects User Data

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Data Ownership in AI: The Key to Ethical and Transparent Machine Learning

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Our platform leverages existing Ethereum tech stacks to automate tasks, ensure transparency, and facilitate secure transactions.

Pytorch
Keras
PostgreSQL
Hadoop
Scikit-learn
TensorFlow
Pytorch
Keras
PostgreSQL
Hadoop
Scikit-learn
TensorFlow

Our AdvantagesPrecision Labeling for Advanced AI Performance

DLM empowers data labelers to handle diverse
data formats with precision

Our platform supports multimodal labeling, including text, image, video, and audio data.

1.

Annotation Guidelines

2.

Human-in-the-loop (HITL)

3.

Active Learning

4.

Semi-Supervised Learning

5.

Quality Assurance (QA)

6.

Crowdsourcing

7.

Transfer Learning

8.

Consensus

9.

Automated Labeling

10.

Data Preprocessing

A Global Community
of Labelers

DLM fosters a global community of data labelers by providing an inclusive platform. Our decentralized approach enables individuals from around the world to contribute to the AI ecosystem while earning cryptocurrency.

Start labeling

AI-powered businesses

  • Your ML experts:
  • Post tasks to collect or label data
  • Set the price and timeframe
  • Get the data they need

Open crowdsourcing platform

Our advanced technologies transform the crowd into computing power

Diverse global crowd

  • Our tokens:
  • Collect and label data
  • Choose the tasks they want to do
  • Get paid per task

DLM is engineered
for Scalability

Data Marketplace

Data Products

Build and trade labeled datasets, models, and APIs

Tokenized Data

Enable fractional ownership via encrypted tokens

Licensing

Secure IP with flexible data licensing

Data Validation & Control

Quality Assurance

Ensure consistent, high-quality data labeling

Tokenized Data

Reward top-performing labelers based on reputation scores

Licensing

Higher-quality work earns more tokens

Data Tokenization

On-Chain Sources

Integrate with blockchains, DeFi, and more

Encrypted Tokens

Secure your data with privacy-first tokenization

Data Splitting

Optimize efficiency with smaller data chunks

Labeling Marketplace

Task Creation

Launch labeling tasks with clear guidelines

Global Labelers

Tap into a community of skilled data annotators

Token Rewards

Incentivize quality work with token-based payouts

Secure Processing

Homomorphic Encryption

Safeguard data privacy during labeling

Federated Learning

Enhance privacy with distributed machine learning

Security & Compliance

Robust Security

Protect assets with advanced security measures

Compliance

Meet GDPR and CCPA standards

Audits

Regular security audits ensure platform integrity

Labeling System

Crowdsourcing

Engage with annotators

Quality Validation

Use advanced validation protocols for accuracy

Join our TeamJoin us in building a more efficient and secure data ecosystem, where your work directly influences AI development and makes a real difference

Explore open positions
1.

Diverse Opportunities

Label data or contribute to datasets

Easy Onboarding

Seamlessly join our community

2.
3.

Competitive Rewards

Earn while you learn

4.

Career Growth

Advance your AI career

Explore open positions

Get in touchElevate data integrity for AI applications

Get in touchElevate data integrity for AI applications through data labeling with DLM

through data labeling with DLM