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
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
Sahara Vaults
Sahara Vaults are private and secure repositories storing and managing AI assets, covering both local storage on user nodes and cloud storage on public nodes
Sahara AI Marketplace is the decentralized hub for publishing, monetizing, and trading AI assets.
No-Code and Low-Code Toolkits
Sahara Toolkits are development and deployment tools designed for participants who aim to create and refine AI assets on the Sahara AI platform.
Sahara ID
Sahara ID serves as the cornerstone of identity management within the Sahara AI platform. It acts as the unique identifier for all participants, whether they are AI entities or human users.
Layer 2
Transaction
Layer
Transaction
Layer
Sahara Blockchain Protocols
AI-specific protocols that together provide a structured and secure framework for managing various aspects of the AI lifecycle.
Sahara AI-Native Precompile
Built-in functions that operate at the native level of the blockchain, aiming to enable faster execution, lower computational overhead, and reduced gas costs.
LAYER 3
Data
Layer
Data
Layer
On-Chain Data
On-chain data includes, but is not limited to, critical AI asset metadata, attributions, commitments, and proofs.
Off-Chain Data
Off-chain data includes significant datasets, AI models, and supplemental information.
Data Management
Data management mechanisms that highlight the security, availability, indexing, and storage of data.
LAYER 4
Execution
Layer
Execution
Layer
Core Abstractions
Core abstractions, including datasets, AI models, and computations, are essential components that form the foundation of AI operations on the Sahara AI platform.
High-Level Abstractions
High-level abstractions, including vaults and AI agents, are components built upon core abstractions and provide higher-level functionalities and integrations on the Sahara AI platform.
Infrastructural Mechanisms
Infrastructural mechanisms ensure our execution layer is expedient, elastic, and resilient.
Abstraction Execution Protocols
Abstraction execution protocols provide the necessary framework to ensure that all high-level abstractions operate efficiently and securely.
Collaborative Computation Protocols
Collaborative Computation Protocols facilitate joint AI model development and deployment among multiple participants with privacy-preserving compute modules and computation fraud proof mechanisms to ensure privacy and integrity, as well as PEFT Modules for efficient tuning of AI models.
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
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
Founding Team, Midjourney
Vipul Prakash
CEO, Together AI
Teknium
Nous Research, ex-Stability AI
Laksh Vaaman Sehgal
Vice Chairman, Motherson Group
+ More
Sahara AI Roadmap
Q3 2024
Sahara AI Marketplace
Launch of the initial phase, enabling community collaboration on high-value knowledge bases.
Q4 2024
Sahara Chain Testnet
Introduction of the testnet for developers to validate core features of Sahara Chain.
Q1 2025
Sahara Chain Mainnet
Full launch of the operational blockchain platform supporting decentralized AI applications.
Q2 2025
Sahara Agent
Deployment of personal AI agents using private user data and domain models.