YOUR KNOWLEDGE, YOUR AI
YOUR KNOWLEDGE, YOUR AI
YOUR KNOWLEDGE, YOUR AI
The Decentralized AI Blockchain Platform
For an open, equitable, and collaborative economy
SOC2 Certified for Security & Privacy
Trusted by Leading Tech Innovators and Research Institutions
Trusted by Leading Tech Innovators and Research Institutions
Sahara AI
is for Everyone
Sahara AI for Personal
Whether you're looking to monetize personal knowledge, streamline team collaboration, or are just an AI enthusiast, there's a place for you in the collaborative AI economy.
Sahara AI for Personal
Whether you're looking to monetize personal knowledge, streamline team collaboration, or are just an AI enthusiast, there's a place for you in the collaborative AI economy.
Sahara AI for Personal
Whether you're looking to monetize personal knowledge, streamline team collaboration, or are just an AI enthusiast, there's a place for you in the collaborative AI economy.
Sahara AI for Personal
Whether you're looking to monetize personal knowledge, streamline team collaboration, or are just an AI enthusiast, there's a place for you in the collaborative AI economy.
An Ecosystem for
Collaborative Intelligence
200,000+
Global AI Trainers
35+
Enterprise Clients
3M+
Annotations
An Ecosystem
for Collaborative Intelligence
200,000+
Global AI Trainers
35+
Enterprise Clients
3M+
Annotations
An ecosystem for collaborative Intelligence
200,000+
Global AI Trainers
35+
Enterprise Clients
3M+
Annotations
An Ecosystem
for Collaborative Intelligence
200,000+
Global AI Trainers
35+
Enterprise Clients
3M+
Annotations
Sahara AI
for Business
Sahara AI can be used by any enterprise — small or large — to personalize customer experiences, optimize decision-making, unlock new business opportunities, and more with custom Sahara Agents.
Sahara AI
for Business
Sahara AI can be used by any enterprise — small or large — to personalize customer experiences, optimize decision-making, unlock new business opportunities, and more with custom Sahara Agents.
Sahara AI
for Business
Sahara AI can be used by any enterprise — small or large — to personalize customer experiences, optimize decision-making, unlock new business opportunities, and more with custom Sahara Agents.
Sahara AI
for Business
Sahara AI can be used by any enterprise — small or large — to personalize customer experiences, optimize decision-making, unlock new business opportunities, and more with custom Sahara Agents.
Why Sahara AI
Our Blockchain Platform Empowers You
to Own and Monetize Your AI
Our Blockchain Platform Empowers You to Own and Monetize Your AI
Our Blockchain Platform Empowers You
to Own and Monetize Your AI
Our Blockchain Platform Empowers You
to Own and Monetize Your AI
Sovereignty and Privacy
AI Sovereignty
Retain full control over your AI assets.
User Privacy
Safeguard user data and models with advanced privacy-preserving technologies.
Provenance and Transparency
AI Provenance
Ensure complete traceability of data contributions and model interactions through blockchain technologies.
High-Performance Blockchain
Provide AI solutions with trust, scalability, and accountability.
Collaborative Economy
Collaborative AI Development
Craft an economic model that encourages broad participation and equitable wealth distribution.
Decentralized Governance
Participate in Sahara governance for clear and open decision-making.
Equitable Monetization
On-chain Attribution
Recognize contributions through a blockchain system that securely records revenue shares.
Fair Compensation
Reward participant contributions in a trustless and transparent manner.
The Decentralized
AI Blockchain
Platform
SOC2 Certified for Security & Privacy
Layered Architecture Diagram
Layer 1
Application
Layer
Application
Layer
Secure Vaults
Decentralized storage solutions for AI assets ensuring data privacy and integrity through advanced encryption.
No-Code Toolkit
Tools for creating, customizing, and deploying personalized AI agents using decentralized PEFT methods.
Sahara ID
Reputation system managing user profiles, access control, and contribution records to ensure trust and accountability.
Layer 2
Transaction
Layer
Transaction
Layer
Proof of Stake
Proof of Stake consensus mechanism ensures a high degree of fault tolerance and enables the network to reach consensus even in the presence of malicious nodes.
Sahara AI-Native Precompile
These precompiles are designed to streamline and enhance various aspects of AI processing directly within the blockchain environment.
LAYER 3
Data
Layer
Data
Layer
On-Chain Data
Immutable records of user operations and attributes ensuring trustless reputation.
Off-Chain Data
Decentralized storage for large datasets with integrity mechanisms like Merkle trees and zero-knowledge proofs.
Mechanisms
Techniques to verify data integrity, prevent duplication, and ensure security and availability.
LAYER 4
Execution
Layer
Execution
Layer
Abstraction of Vaults
Repositories for storing and managing AI, accessible directly, for model training, or for retrieval-augmented generation.
Abstraction of AI Models
Supports various models, from traditional ML models to LLMs and multi-modal generative models.
Abstraction of AI Agents
Autonomous entities using advanced algorithms, capable of persona alignment, tool utilization, and continuous learning.
AI Computation Protocols
Supports a variety of paradigms for AI training, inference and serving, enabling efficient, collaborative, and high-performance model orchestration.
Agent Framework Protocols
Manages the interactions and coordination of AI agents within the Sahara AI Execution Layer.
Executing
Result
Monitoring
Proof
Storage
Executing
Result
Monitoring
Proof
Storage
Layered Architecture Diagram
layer 1
Application Layer
Secure Vaults: Decentralized storage solutions for AI assets ensuring data privacy and integrity through advanced encryption.
Decentralized AI Marketplace: Platform for generating, trading, and accessing valuable datasets, promoting fair compensation and innovation.
No-Code Toolkit: Tools for creating, customizing, and deploying personalized AI agents using decentralized PEFT methods.
SaharaID: Reputation system managing user profiles, access control, and contribution records to ensure trust and accountability.
layer 2
Transaction Layer
Proof of Stake: Proof of Stake consensus mechanism ensures a high degree of fault tolerance and enables the network to reach consensus even in the presence of malicious nodes
Sahara AI-Native Precompile: These precompiles are designed to streamline and enhance various aspects of AI processing directly within the blockchain environment.
layer 3
Data Layer
On-Chain Data: Immutable records of user operations and attributes ensuring trustless reputation.
Off-Chain Data: Decentralized storage for large datasets with integrity mechanisms like merkle trees and zero-knowledge proofs.
Mechanisms: Techniques to verify data integrity, prevent duplication, and ensure security and availability.
layer 4
Execution Layer
Abstraction of Vaults: Repositories for storing and managing AI, accessible directly, for model training, or for retrieval-augmented generation.
Abstraction of AI Models: Supports various models, from traditional ML models to LLMs and multi-modal generative models.
Abstraction of AI Agents: Autonomous entities using advanced algorithms, capable of persona alignment, tool utilization, and continuous learning.
AI Computation Protocols: Supports a variety of paradigms for AI training, inference and serving, enabling efficient, collaborative, and high-performance model orchestration.
Agent Framework Protocols: Manages the interactions and coordination of AI agents within the Sahara AI Execution Layer.
layer 1
Application Layer
Secure Vaults: Decentralized storage solutions for AI assets ensuring data privacy and integrity through advanced encryption.
Decentralized AI Marketplace: Platform for generating, trading, and accessing valuable datasets, promoting fair compensation and innovation.
No-Code Toolkit: Tools for creating, customizing, and deploying personalized AI agents using decentralized PEFT methods.
SaharaID: Reputation system managing user profiles, access control, and contribution records to ensure trust and accountability.
layer 2
Transaction Layer
Proof of Stake: Proof of Stake consensus mechanism ensures a high degree of fault tolerance and enables the network to reach consensus even in the presence of malicious nodes
Sahara AI-Native Precompile: These precompiles are designed to streamline and enhance various aspects of AI processing directly within the blockchain environment.
layer 3
Data Layer
On-Chain Data: Immutable records of user operations and attributes ensuring trustless reputation.
Off-Chain Data: Decentralized storage for large datasets with integrity mechanisms like merkle trees and zero-knowledge proofs.
Mechanisms: Techniques to verify data integrity, prevent duplication, and ensure security and availability.
layer 4
Execution Layer
Abstraction of Vaults: Repositories for storing and managing AI, accessible directly, for model training, or for retrieval-augmented generation.
Abstraction of AI Models: Supports various models, from traditional ML models to LLMs and multi-modal generative models.
Abstraction of AI Agents: Autonomous entities using advanced algorithms, capable of persona alignment, tool utilization, and continuous learning.
AI Computation Protocols: Supports a variety of paradigms for AI training, inference and serving, enabling efficient, collaborative, and high-performance model orchestration.
Agent Framework Protocols: Manages the interactions and coordination of AI agents within the Sahara AI Execution Layer.
layer 1
Application Layer
Secure Vaults: Decentralized storage solutions for AI assets ensuring data privacy and integrity through advanced encryption.
Decentralized AI Marketplace: Platform for generating, trading, and accessing valuable datasets, promoting fair compensation and innovation.
No-Code Toolkit: Tools for creating, customizing, and deploying personalized AI agents using decentralized PEFT methods.
SaharaID: Reputation system managing user profiles, access control, and contribution records to ensure trust and accountability.
layer 2
Transaction Layer
Proof of Stake: Proof of Stake consensus mechanism ensures a high degree of fault tolerance and enables the network to reach consensus even in the presence of malicious nodes
Sahara AI-Native Precompile: These precompiles are designed to streamline and enhance various aspects of AI processing directly within the blockchain environment.
layer 3
Data Layer
On-Chain Data: Immutable records of user operations and attributes ensuring trustless reputation.
Off-Chain Data: Decentralized storage for large datasets with integrity mechanisms like merkle trees and zero-knowledge proofs.
Mechanisms: Techniques to verify data integrity, prevent duplication, and ensure security and availability.
layer 4
Execution Layer
Abstraction of Vaults: Repositories for storing and managing AI, accessible directly, for model training, or for retrieval-augmented generation.
Abstraction of AI Models: Supports various models, from traditional ML models to LLMs and multi-modal generative models.
Abstraction of AI Agents: Autonomous entities using advanced algorithms, capable of persona alignment, tool utilization, and continuous learning.
AI Computation Protocols: Supports a variety of paradigms for AI training, inference and serving, enabling efficient, collaborative, and high-performance model orchestration.
Agent Framework Protocols: Manages the interactions and coordination of AI agents within the Sahara AI Execution Layer.
layer 1
Application Layer
Secure Vaults: Decentralized storage solutions for AI assets ensuring data privacy and integrity through advanced encryption.
Decentralized AI Marketplace: Platform for generating, trading, and accessing valuable datasets, promoting fair compensation and innovation.
No-Code Toolkit: Tools for creating, customizing, and deploying personalized AI agents using decentralized PEFT methods.
SaharaID: Reputation system managing user profiles, access control, and contribution records to ensure trust and accountability.
layer 2
Transaction Layer
Proof of Stake: Proof of Stake consensus mechanism ensures a high degree of fault tolerance and enables the network to reach consensus even in the presence of malicious nodes
Sahara AI-Native Precompile: These precompiles are designed to streamline and enhance various aspects of AI processing directly within the blockchain environment.
layer 3
Data Layer
On-Chain Data: Immutable records of user operations and attributes ensuring trustless reputation.
Off-Chain Data: Decentralized storage for large datasets with integrity mechanisms like merkle trees and zero-knowledge proofs.
Mechanisms: Techniques to verify data integrity, prevent duplication, and ensure security and availability.
layer 4
Execution Layer
Abstraction of Vaults: Repositories for storing and managing AI, accessible directly, for model training, or for retrieval-augmented generation.
Abstraction of AI Models: Supports various models, from traditional ML models to LLMs and multi-modal generative models.
Abstraction of AI Agents: Autonomous entities using advanced algorithms, capable of persona alignment, tool utilization, and continuous learning.
AI Computation Protocols: Supports a variety of paradigms for AI training, inference and serving, enabling efficient, collaborative, and high-performance model orchestration.
Agent Framework Protocols: Manages the interactions and coordination of AI agents within the Sahara AI Execution Layer.
Layered Architecture Diagram
layer 1
Application Layer
Secure Vaults: Decentralized storage solutions for AI assets ensuring data privacy and integrity through advanced encryption.
Decentralized AI Marketplace: Platform for generating, trading, and accessing valuable datasets, promoting fair compensation and innovation.
No-Code Toolkit: Tools for creating, customizing, and deploying personalized AI agents using decentralized PEFT methods.
SaharaID: Reputation system managing user profiles, access control, and contribution records to ensure trust and accountability.
layer 2
Transaction Layer
Proof of Stake: Proof of Stake consensus mechanism ensures a high degree of fault tolerance and enables the network to reach consensus even in the presence of malicious nodes
Sahara AI-Native Precompile: These precompiles are designed to streamline and enhance various aspects of AI processing directly within the blockchain environment.
layer 3
Data Layer
On-Chain Data: Immutable records of user operations and attributes ensuring trustless reputation.
Off-Chain Data: Decentralized storage for large datasets with integrity mechanisms like merkle trees and zero-knowledge proofs.
Mechanisms: Techniques to verify data integrity, prevent duplication, and ensure security and availability.
layer 4
Execution Layer
Abstraction of Vaults: Repositories for storing and managing AI, accessible directly, for model training, or for retrieval-augmented generation.
Abstraction of AI Models: Supports various models, from traditional ML models to LLMs and multi-modal generative models.
Abstraction of AI Agents: Autonomous entities using advanced algorithms, capable of persona alignment, tool utilization, and continuous learning.
AI Computation Protocols: Supports a variety of paradigms for AI training, inference and serving, enabling efficient, collaborative, and high-performance model orchestration.
Agent Framework Protocols: Manages the interactions and coordination of AI agents within the Sahara AI Execution Layer.
layer 1
Application Layer
Secure Vaults: Decentralized storage solutions for AI assets ensuring data privacy and integrity through advanced encryption.
Decentralized AI Marketplace: Platform for generating, trading, and accessing valuable datasets, promoting fair compensation and innovation.
No-Code Toolkit: Tools for creating, customizing, and deploying personalized AI agents using decentralized PEFT methods.
SaharaID: Reputation system managing user profiles, access control, and contribution records to ensure trust and accountability.
layer 2
Transaction Layer
Proof of Stake: Proof of Stake consensus mechanism ensures a high degree of fault tolerance and enables the network to reach consensus even in the presence of malicious nodes
Sahara AI-Native Precompile: These precompiles are designed to streamline and enhance various aspects of AI processing directly within the blockchain environment.
layer 3
Data Layer
On-Chain Data: Immutable records of user operations and attributes ensuring trustless reputation.
Off-Chain Data: Decentralized storage for large datasets with integrity mechanisms like merkle trees and zero-knowledge proofs.
Mechanisms: Techniques to verify data integrity, prevent duplication, and ensure security and availability.
layer 4
Execution Layer
Abstraction of Vaults: Repositories for storing and managing AI, accessible directly, for model training, or for retrieval-augmented generation.
Abstraction of AI Models: Supports various models, from traditional ML models to LLMs and multi-modal generative models.
Abstraction of AI Agents: Autonomous entities using advanced algorithms, capable of persona alignment, tool utilization, and continuous learning.
AI Computation Protocols: Supports a variety of paradigms for AI training, inference and serving, enabling efficient, collaborative, and high-performance model orchestration.
Agent Framework Protocols: Manages the interactions and coordination of AI agents within the Sahara AI Execution Layer.
layer 1
Application Layer
Secure Vaults: Decentralized storage solutions for AI assets ensuring data privacy and integrity through advanced encryption.
Decentralized AI Marketplace: Platform for generating, trading, and accessing valuable datasets, promoting fair compensation and innovation.
No-Code Toolkit: Tools for creating, customizing, and deploying personalized AI agents using decentralized PEFT methods.
SaharaID: Reputation system managing user profiles, access control, and contribution records to ensure trust and accountability.
layer 2
Transaction Layer
Proof of Stake: Proof of Stake consensus mechanism ensures a high degree of fault tolerance and enables the network to reach consensus even in the presence of malicious nodes
Sahara AI-Native Precompile: These precompiles are designed to streamline and enhance various aspects of AI processing directly within the blockchain environment.
layer 3
Data Layer
On-Chain Data: Immutable records of user operations and attributes ensuring trustless reputation.
Off-Chain Data: Decentralized storage for large datasets with integrity mechanisms like merkle trees and zero-knowledge proofs.
Mechanisms: Techniques to verify data integrity, prevent duplication, and ensure security and availability.
layer 4
Execution Layer
Abstraction of Vaults: Repositories for storing and managing AI, accessible directly, for model training, or for retrieval-augmented generation.
Abstraction of AI Models: Supports various models, from traditional ML models to LLMs and multi-modal generative models.
Abstraction of AI Agents: Autonomous entities using advanced algorithms, capable of persona alignment, tool utilization, and continuous learning.
AI Computation Protocols: Supports a variety of paradigms for AI training, inference and serving, enabling efficient, collaborative, and high-performance model orchestration.
Agent Framework Protocols: Manages the interactions and coordination of AI agents within the Sahara AI Execution Layer.
layer 1
Application Layer
Secure Vaults: Decentralized storage solutions for AI assets ensuring data privacy and integrity through advanced encryption.
Decentralized AI Marketplace: Platform for generating, trading, and accessing valuable datasets, promoting fair compensation and innovation.
No-Code Toolkit: Tools for creating, customizing, and deploying personalized AI agents using decentralized PEFT methods.
SaharaID: Reputation system managing user profiles, access control, and contribution records to ensure trust and accountability.
layer 2
Transaction Layer
Proof of Stake: Proof of Stake consensus mechanism ensures a high degree of fault tolerance and enables the network to reach consensus even in the presence of malicious nodes
Sahara AI-Native Precompile: These precompiles are designed to streamline and enhance various aspects of AI processing directly within the blockchain environment.
layer 3
Data Layer
On-Chain Data: Immutable records of user operations and attributes ensuring trustless reputation.
Off-Chain Data: Decentralized storage for large datasets with integrity mechanisms like merkle trees and zero-knowledge proofs.
Mechanisms: Techniques to verify data integrity, prevent duplication, and ensure security and availability.
layer 4
Execution Layer
Abstraction of Vaults: Repositories for storing and managing AI, accessible directly, for model training, or for retrieval-augmented generation.
Abstraction of AI Models: Supports various models, from traditional ML models to LLMs and multi-modal generative models.
Abstraction of AI Agents: Autonomous entities using advanced algorithms, capable of persona alignment, tool utilization, and continuous learning.
AI Computation Protocols: Supports a variety of paradigms for AI training, inference and serving, enabling efficient, collaborative, and high-performance model orchestration.
Agent Framework Protocols: Manages the interactions and coordination of AI agents within the Sahara AI Execution Layer.
Layered Architecture Diagram
#1 layer
Application Layer
Secure Vaults: Decentralized storage solutions for AI assets ensuring data privacy and integrity through advanced encryption.
Decentralized AI Marketplace: Platform for generating, trading, and accessing valuable datasets, promoting fair compensation and innovation.
No-Code Toolkit: Tools for creating, customizing, and deploying personalized AI agents using decentralized PEFT methods.
SaharaID: Reputation system managing user profiles, access control, and contribution records to ensure trust and accountability.
#2 layer
Transaction Layer
Proof of Stake: Proof of Stake consensus mechanism ensures a high degree of fault tolerance and enables the network to reach consensus even in the presence of malicious nodes
Sahara AI-Native Precompile: These precompiles are designed to streamline and enhance various aspects of AI processing directly within the blockchain environment.
#3 layer
Data Layer
On-Chain Data: Immutable records of user operations and attributes ensuring trustless reputation.
Off-Chain Data: Decentralized storage for large datasets with integrity mechanisms like merkle trees and zero-knowledge proofs.
Mechanisms: Techniques to verify data integrity, prevent duplication, and ensure security and availability.
#4 layer
Execution Layer
Abstraction of Vaults: Repositories for storing and managing AI, accessible directly, for model training, or for retrieval-augmented generation.
Abstraction of AI Models: Supports various models, from traditional ML models to LLMs and multi-modal generative models.
Abstraction of AI Agents: Autonomous entities using advanced algorithms, capable of persona alignment, tool utilization, and continuous learning.
AI Computation Protocols: Supports a variety of paradigms for AI training, inference and serving, enabling efficient, collaborative, and high-performance model orchestration.
Agent Framework Protocols: Manages the interactions and coordination of AI agents within the Sahara AI Execution Layer.
#1 layer
Application Layer
Secure Vaults: Decentralized storage solutions for AI assets ensuring data privacy and integrity through advanced encryption.
Decentralized AI Marketplace: Platform for generating, trading, and accessing valuable datasets, promoting fair compensation and innovation.
No-Code Toolkit: Tools for creating, customizing, and deploying personalized AI agents using decentralized PEFT methods.
SaharaID: Reputation system managing user profiles, access control, and contribution records to ensure trust and accountability.
#2 layer
Transaction Layer
Proof of Stake: Proof of Stake consensus mechanism ensures a high degree of fault tolerance and enables the network to reach consensus even in the presence of malicious nodes
Sahara AI-Native Precompile: These precompiles are designed to streamline and enhance various aspects of AI processing directly within the blockchain environment.
#3 layer
Data Layer
On-Chain Data: Immutable records of user operations and attributes ensuring trustless reputation.
Off-Chain Data: Decentralized storage for large datasets with integrity mechanisms like merkle trees and zero-knowledge proofs.
Mechanisms: Techniques to verify data integrity, prevent duplication, and ensure security and availability.
#4 layer
Execution Layer
Abstraction of Vaults: Repositories for storing and managing AI, accessible directly, for model training, or for retrieval-augmented generation.
Abstraction of AI Models: Supports various models, from traditional ML models to LLMs and multi-modal generative models.
Abstraction of AI Agents: Autonomous entities using advanced algorithms, capable of persona alignment, tool utilization, and continuous learning.
AI Computation Protocols: Supports a variety of paradigms for AI training, inference and serving, enabling efficient, collaborative, and high-performance model orchestration.
Agent Framework Protocols: Manages the interactions and coordination of AI agents within the Sahara AI Execution Layer.
#1 layer
Application Layer
Secure Vaults: Decentralized storage solutions for AI assets ensuring data privacy and integrity through advanced encryption.
Decentralized AI Marketplace: Platform for generating, trading, and accessing valuable datasets, promoting fair compensation and innovation.
No-Code Toolkit: Tools for creating, customizing, and deploying personalized AI agents using decentralized PEFT methods.
SaharaID: Reputation system managing user profiles, access control, and contribution records to ensure trust and accountability.
#2 layer
Transaction Layer
Proof of Stake: Proof of Stake consensus mechanism ensures a high degree of fault tolerance and enables the network to reach consensus even in the presence of malicious nodes
Sahara AI-Native Precompile: These precompiles are designed to streamline and enhance various aspects of AI processing directly within the blockchain environment.
#3 layer
Data Layer
On-Chain Data: Immutable records of user operations and attributes ensuring trustless reputation.
Off-Chain Data: Decentralized storage for large datasets with integrity mechanisms like merkle trees and zero-knowledge proofs.
Mechanisms: Techniques to verify data integrity, prevent duplication, and ensure security and availability.
#4 layer
Execution Layer
Abstraction of Vaults: Repositories for storing and managing AI, accessible directly, for model training, or for retrieval-augmented generation.
Abstraction of AI Models: Supports various models, from traditional ML models to LLMs and multi-modal generative models.
Abstraction of AI Agents: Autonomous entities using advanced algorithms, capable of persona alignment, tool utilization, and continuous learning.
AI Computation Protocols: Supports a variety of paradigms for AI training, inference and serving, enabling efficient, collaborative, and high-performance model orchestration.
Agent Framework Protocols: Manages the interactions and coordination of AI agents within the Sahara AI Execution Layer.
#1 layer
Application Layer
Secure Vaults: Decentralized storage solutions for AI assets ensuring data privacy and integrity through advanced encryption.
Decentralized AI Marketplace: Platform for generating, trading, and accessing valuable datasets, promoting fair compensation and innovation.
No-Code Toolkit: Tools for creating, customizing, and deploying personalized AI agents using decentralized PEFT methods.
SaharaID: Reputation system managing user profiles, access control, and contribution records to ensure trust and accountability.
#2 layer
Transaction Layer
Proof of Stake: Proof of Stake consensus mechanism ensures a high degree of fault tolerance and enables the network to reach consensus even in the presence of malicious nodes
Sahara AI-Native Precompile: These precompiles are designed to streamline and enhance various aspects of AI processing directly within the blockchain environment.
#3 layer
Data Layer
On-Chain Data: Immutable records of user operations and attributes ensuring trustless reputation.
Off-Chain Data: Decentralized storage for large datasets with integrity mechanisms like merkle trees and zero-knowledge proofs.
Mechanisms: Techniques to verify data integrity, prevent duplication, and ensure security and availability.
#4 layer
Execution Layer
Abstraction of Vaults: Repositories for storing and managing AI, accessible directly, for model training, or for retrieval-augmented generation.
Abstraction of AI Models: Supports various models, from traditional ML models to LLMs and multi-modal generative models.
Abstraction of AI Agents: Autonomous entities using advanced algorithms, capable of persona alignment, tool utilization, and continuous learning.
AI Computation Protocols: Supports a variety of paradigms for AI training, inference and serving, enabling efficient, collaborative, and high-performance model orchestration.
Agent Framework Protocols: Manages the interactions and coordination of AI agents within the Sahara AI Execution Layer.
Layered Architecture Diagram
#1 layer
Application Layer
Secure Vaults: Decentralized storage solutions for AI assets ensuring data privacy and integrity through advanced encryption.
Decentralized AI Marketplace: Platform for generating, trading, and accessing valuable datasets, promoting fair compensation and innovation.
No-Code Toolkit: Tools for creating, customizing, and deploying personalized AI agents using decentralized PEFT methods.
SaharaID: Reputation system managing user profiles, access control, and contribution records to ensure trust and accountability.
#2 layer
Transaction Layer
Proof of Stake: Proof of Stake consensus mechanism ensures a high degree of fault tolerance and enables the network to reach consensus even in the presence of malicious nodes
Sahara AI-Native Precompile: These precompiles are designed to streamline and enhance various aspects of AI processing directly within the blockchain environment.
#3 layer
Data Layer
On-Chain Data: Immutable records of user operations and attributes ensuring trustless reputation.
Off-Chain Data: Decentralized storage for large datasets with integrity mechanisms like merkle trees and zero-knowledge proofs.
Mechanisms: Techniques to verify data integrity, prevent duplication, and ensure security and availability.
#4 layer
Execution Layer
Abstraction of Vaults: Repositories for storing and managing AI, accessible directly, for model training, or for retrieval-augmented generation.
Abstraction of AI Models: Supports various models, from traditional ML models to LLMs and multi-modal generative models.
Abstraction of AI Agents: Autonomous entities using advanced algorithms, capable of persona alignment, tool utilization, and continuous learning.
AI Computation Protocols: Supports a variety of paradigms for AI training, inference and serving, enabling efficient, collaborative, and high-performance model orchestration.
Agent Framework Protocols: Manages the interactions and coordination of AI agents within the Sahara AI Execution Layer.
#1 layer
Application Layer
Secure Vaults: Decentralized storage solutions for AI assets ensuring data privacy and integrity through advanced encryption.
Decentralized AI Marketplace: Platform for generating, trading, and accessing valuable datasets, promoting fair compensation and innovation.
No-Code Toolkit: Tools for creating, customizing, and deploying personalized AI agents using decentralized PEFT methods.
SaharaID: Reputation system managing user profiles, access control, and contribution records to ensure trust and accountability.
#2 layer
Transaction Layer
Proof of Stake: Proof of Stake consensus mechanism ensures a high degree of fault tolerance and enables the network to reach consensus even in the presence of malicious nodes
Sahara AI-Native Precompile: These precompiles are designed to streamline and enhance various aspects of AI processing directly within the blockchain environment.
#3 layer
Data Layer
On-Chain Data: Immutable records of user operations and attributes ensuring trustless reputation.
Off-Chain Data: Decentralized storage for large datasets with integrity mechanisms like merkle trees and zero-knowledge proofs.
Mechanisms: Techniques to verify data integrity, prevent duplication, and ensure security and availability.
#4 layer
Execution Layer
Abstraction of Vaults: Repositories for storing and managing AI, accessible directly, for model training, or for retrieval-augmented generation.
Abstraction of AI Models: Supports various models, from traditional ML models to LLMs and multi-modal generative models.
Abstraction of AI Agents: Autonomous entities using advanced algorithms, capable of persona alignment, tool utilization, and continuous learning.
AI Computation Protocols: Supports a variety of paradigms for AI training, inference and serving, enabling efficient, collaborative, and high-performance model orchestration.
Agent Framework Protocols: Manages the interactions and coordination of AI agents within the Sahara AI Execution Layer.
#1 layer
Application Layer
Secure Vaults: Decentralized storage solutions for AI assets ensuring data privacy and integrity through advanced encryption.
Decentralized AI Marketplace: Platform for generating, trading, and accessing valuable datasets, promoting fair compensation and innovation.
No-Code Toolkit: Tools for creating, customizing, and deploying personalized AI agents using decentralized PEFT methods.
SaharaID: Reputation system managing user profiles, access control, and contribution records to ensure trust and accountability.
#2 layer
Transaction Layer
Proof of Stake: Proof of Stake consensus mechanism ensures a high degree of fault tolerance and enables the network to reach consensus even in the presence of malicious nodes
Sahara AI-Native Precompile: These precompiles are designed to streamline and enhance various aspects of AI processing directly within the blockchain environment.
#3 layer
Data Layer
On-Chain Data: Immutable records of user operations and attributes ensuring trustless reputation.
Off-Chain Data: Decentralized storage for large datasets with integrity mechanisms like merkle trees and zero-knowledge proofs.
Mechanisms: Techniques to verify data integrity, prevent duplication, and ensure security and availability.
#4 layer
Execution Layer
Abstraction of Vaults: Repositories for storing and managing AI, accessible directly, for model training, or for retrieval-augmented generation.
Abstraction of AI Models: Supports various models, from traditional ML models to LLMs and multi-modal generative models.
Abstraction of AI Agents: Autonomous entities using advanced algorithms, capable of persona alignment, tool utilization, and continuous learning.
AI Computation Protocols: Supports a variety of paradigms for AI training, inference and serving, enabling efficient, collaborative, and high-performance model orchestration.
Agent Framework Protocols: Manages the interactions and coordination of AI agents within the Sahara AI Execution Layer.
#1 layer
Application Layer
Secure Vaults: Decentralized storage solutions for AI assets ensuring data privacy and integrity through advanced encryption.
Decentralized AI Marketplace: Platform for generating, trading, and accessing valuable datasets, promoting fair compensation and innovation.
No-Code Toolkit: Tools for creating, customizing, and deploying personalized AI agents using decentralized PEFT methods.
SaharaID: Reputation system managing user profiles, access control, and contribution records to ensure trust and accountability.
#2 layer
Transaction Layer
Proof of Stake: Proof of Stake consensus mechanism ensures a high degree of fault tolerance and enables the network to reach consensus even in the presence of malicious nodes
Sahara AI-Native Precompile: These precompiles are designed to streamline and enhance various aspects of AI processing directly within the blockchain environment.
#3 layer
Data Layer
On-Chain Data: Immutable records of user operations and attributes ensuring trustless reputation.
Off-Chain Data: Decentralized storage for large datasets with integrity mechanisms like merkle trees and zero-knowledge proofs.
Mechanisms: Techniques to verify data integrity, prevent duplication, and ensure security and availability.
#4 layer
Execution Layer
Abstraction of Vaults: Repositories for storing and managing AI, accessible directly, for model training, or for retrieval-augmented generation.
Abstraction of AI Models: Supports various models, from traditional ML models to LLMs and multi-modal generative models.
Abstraction of AI Agents: Autonomous entities using advanced algorithms, capable of persona alignment, tool utilization, and continuous learning.
AI Computation Protocols: Supports a variety of paradigms for AI training, inference and serving, enabling efficient, collaborative, and high-performance model orchestration.
Agent Framework Protocols: Manages the interactions and coordination of AI agents within the Sahara AI Execution Layer.
Backed by Visionaries
Investors
ANGELS & ADVISORS
Rohan Taori
Rohan Taori
Anthropic, Stanford Alpaca
Anthropic, Stanford Alpaca
Elvis Zhang
Elvis Zhang
Founding Team, Midjourney
Founding Team, Midjourney
Vipul Prakash
Vipul Prakash
CEO, Together AI
CEO, Together AI
Teknium
Teknium
Nous Research, ex-Stability AI
Nous Research, ex-Stability AI
Laksh Vaaman Sehgal
Laksh Vaaman Sehgal
Vice Chairman, Motherson Group
Vice Chairman, Motherson Group
+ More
+ More
ANGELS & ADVISORS
Rohan Taori
Anthropic, Stanford Alpaca
Elvis Zhang