Building the Machine of Causality
Bring Open, Fair, and Factual Intelligence to Open AGI and Web 3 for Humanity. We tokenize Causality.
PoCF Consensus
Fair
  • Ensures Fair, Incentive-secured Agentic execution through Proof of Causal Flow Consensus in open and decentralized AGI.
Factual
  • Causal reasoning to empower every decision to be Reliable, Auditable and Explainable.
Powerful
  • Causality empowers New Knowledge Discovery with fewer data and high efficiency
  • models 10X faster and smarter coordination of Meshed Intent Network for 10x Complex tasks, continuously evolving with Web 3 data
Decentralized
CausalCore - our onchain runtime for open, fair, and trustless execution of Causality-secured Incentivized ML.
ABEL Open System - The Leading Intelligent Intent Network
Hierarchical Structure
The system features a three-tier design: modules, agents, and products. This structure ensures flexibility, efficiency, and scalability.
Collaborative Evolution
The Collaborative Evolution Framework continuously adapts and enhances the system, driving ongoing improvements.
Causal Planner
At the core of ABEL Agent OS, Causal Planner employs causal reasoning to manage tasks, optimize resource allocation, and automatically resolve issues.
Causal AI-as-a-Service (CaaS)
Causality is the Key
ABEL.Ai’s CaaS delivers causality-driven insights across a decentralized network. By leveraging Proof of Causal Flow (PoCF) and Causal Machine Learning (ML) or Language Models (LLMs), CaaS ensures that network actions are logically validated and aligned with user objectives.
Proof of Causal Flow (PoCF) Consensus
PoCF verifies actions based on their causal impact, providing fair rewards and incentive security.
Causal ML & LLM
This feature delivers decentralized applications for data & IP, L1/L2 protocols, and Web3 social interactions, offering a scalable, modular, and intelligent solution for advanced AI-powered blockchain services.
Ecosystem Synergy
dApp and API/RPC Access
ABEL.Ai’s dApp and API/RPC access offer a standardized, user-friendly interface, enabling developers and users to easily leverage causal AI capabilities.
Prediction Market Protocols
These protocols deliver the Prediction infrastructure essential for scaling ABEL.Ai’s CaaS and managing complex causal inferences for high quality prediction.
DeSci Protocols
These protocols integrate external data—real-world events, user interactions, and blockchain data—into the Causal ML/LLM layer, enhancing data quality and improving causal insights.
AI Protocols
They integrate with ABEL.Ai’s Causal LLM to extend AI-driven causal inference to applications requiring smart decision-making.
We Define Success as …
Blockchain Native
Openness, Sovereignty and Ownership with Decentralization
Fairness
Fair Attribution of Contribution
Modality
Integration with Other Interfaces, Tools and Environments
Action
High Task Complexity
Automation
Intelligence and Evolution Quality
Who We Are
We are a lean team of entrepreneurs and builders from top tier industries and universities.
Contact Us
We'd love to hear from you! Reach out to us at hi@abel.ai
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