PHASMA AI
AUTONOMOUS AGENT
Autonomous agents with dynamic orchestration enabling real-time R&D, coding & API automation via decentralized collaboration.
Core Feature
Core Feature
Decentralized Swarm Intelligence
Decentralized Swarm Intelligence
Phasma AI’s Decentralized Swarm Collaboration Engine empowers autonomous agents with role-based specialization and dynamic task allocation. Utilizing swarm intelligence algorithms and an Actor Model architecture, agents resolve conflicts through Byzantine Fault Tolerance (BFT) consensus, enabling seamless coordination across research, development, and operations.
Phasma AI’s Decentralized Swarm Collaboration Engine empowers autonomous agents with role-based specialization and dynamic task allocation. Utilizing swarm intelligence algorithms and an Actor Model architecture, agents resolve conflicts through Byzantine Fault Tolerance (BFT) consensus, enabling seamless coordination across research, development, and operations.
Core Feature
Core Feature
Autonomous Code Synthesis
Autonomous Code Synthesis
The Autonomous Code Synthesis System combines LLM-driven generation with symbolic AI verification, supporting Python/JS/Java. It automates API integration, unit testing, and cross-platform deployment (AWS/Azure/Docker), reducing development cycles by 60% in benchmark cases.
The Autonomous Code Synthesis System combines LLM-driven generation with symbolic AI verification, supporting Python/JS/Java. It automates API integration, unit testing, and cross-platform deployment (AWS/Azure/Docker), reducing development cycles by 60% in benchmark cases.
Core Feature
Core Feature
Real-time Research Orchestrator
Real-time Research Orchestrator
The Real-time Research Orchestrator deploys crawler clusters for web/data scraping, enhanced by RAG (Retrieval-Augmented Generation) and knowledge graph mapping. It generates technical briefs with academic citations and industry insights within 10-minute SLA.
The Real-time Research Orchestrator deploys crawler clusters for web/data scraping, enhanced by RAG (Retrieval-Augmented Generation) and knowledge graph mapping. It generates technical briefs with academic citations and industry insights within 10-minute SLA.
From Network to Execution in One Framework
Distributed Network Layer
Decentralized peer-to-peer communication via Actor Model & ZeroMQ.
Swarm Intelligence Layer
Multi-agent task coordination using Celery/RabbitMQ & DAG-based scheduling.
Cognitive Computing Layer
Real-time RAG (Retrieval-Augmented Generation) & Code LLM execution.
Secure Execution Layer
Sandboxed containerization (Docker/WASM) & runtime behavior monitoring.
Engineered for Speed, Security & Swarm Synergy
Phasma AI revolutionizes autonomous systems with its decentralized swarm architecture, achieving 99.9% system uptime and 40% faster task execution.
Engineered for Speed, Security & Swarm Synergy
Phasma AI revolutionizes autonomous systems with its decentralized swarm architecture, achieving 99.9% system uptime and 40% faster task execution.
Decentralized Autonomous Agent
Autonomous agents collaborate via swarm intelligence algorithms in a decentralized network.
Real-Time Insights
Access blockchain data in real-time to make timely and informed decisions.
Decentralized Autonomous Agent
Autonomous agents collaborate via swarm intelligence algorithms in a decentralized network.
Dynamic Task Orchestration Engine
Real-time task allocation and priority scheduling using DAG-based workflows.
Data Integrity
Trust in validated and consistent data for all your blockchain needs.
Dynamic Task Orchestration Engine
Real-time task allocation and priority scheduling using DAG-based workflows.
Zero-Trust Security Execution Layer
Sandboxed containerization (Docker/WASM) & runtime behavior monitoring.
Developer-Friendly
Enjoy robust APIs and tools for seamless integration and customization.
Zero-Trust Security Execution Layer
Sandboxed containerization (Docker/WASM) & runtime behavior monitoring.
Cross-Platform Automation Integration
Unified API connects AWS/Azure/GCP and 500+ SaaS tools in 3 clicks.
Cross-Network Coverage
Support for 60+ networks ensures comprehensive blockchain analytics.
Cross-Platform Automation Integration
Unified API connects AWS/Azure/GCP and 500+ SaaS tools in 3 clicks.
Real-Time Swarm Intelligence
Swarm consensus achieves <1s decision-making in 1000-agent clusters.
Scalable Solutions
Seamlessly scale with our adaptable infrastructure for growing demands.
Real-Time Swarm Intelligence
Swarm consensus achieves <1s decision-making in 1000-agent clusters.
Self-Evolving Code Synthesizer
Self-improving code generator reaches 95% accuracy for Python/JS tasks.
Enhanced Security
Protect sensitive blockchain data with top-tier encryption and protocols.
Self-Evolving Code Synthesizer
Self-improving code generator reaches 95% accuracy for Python/JS tasks.
Phasma AI Introduction
Phasma AI Introduction
Its true potential lies not in isolated models but in collaborative intelligence.
Its true potential lies not in isolated models but in collaborative intelligence.
Phasma AI Introduction
Its true potential lies not in isolated models but in collaborative intelligence.
Imagine a system where research, coding, and execution aren’t siloed tasks, but dynamically aligned processes. Our agents leverage multi-agent reinforcement learning to self-optimize workflows, achieving 40% faster iteration cycles than traditional pipelines.
David Sasaki
Co-founder of Phasma AI
Imagine a system where research, coding, and execution aren’t siloed tasks, but dynamically aligned processes. Our agents leverage multi-agent reinforcement learning to self-optimize workflows, achieving 40% faster iteration cycles than traditional pipelines.
David Sasaki
Co-founder of Phasma AI
Imagine a system where research, coding, and execution aren’t siloed tasks, but dynamically aligned processes. Our agents leverage multi-agent reinforcement learning to self-optimize workflows, achieving 40% faster iteration cycles than traditional pipelines.
David Sasaki
Co-founder of Phasma AI
FAQ
FAQ
FAQ
What is the core technology behind Phasma AI?
Phasma AI uses a decentralized swarm architecture with Actor Model-based agent communication and DAG-based scheduling, achieving 40% faster task execution than traditional pipelines.
What is the core technology behind Phasma AI?
Phasma AI uses a decentralized swarm architecture with Actor Model-based agent communication and DAG-based scheduling, achieving 40% faster task execution than traditional pipelines.
What is the core technology behind Phasma AI?
Phasma AI uses a decentralized swarm architecture with Actor Model-based agent communication and DAG-based scheduling, achieving 40% faster task execution than traditional pipelines.
Which industries can benefit from Phasma AI?
Which industries can benefit from Phasma AI?
Which industries can benefit from Phasma AI?
How does Phasma AI ensure security in automation?
How does Phasma AI ensure security in automation?
How does Phasma AI ensure security in automation?
How does Phasma AI differ from AutoGPT/BabyAGI?
How does Phasma AI differ from AutoGPT/BabyAGI?
How does Phasma AI differ from AutoGPT/BabyAGI?
What is required to deploy Phasma AI?
What is required to deploy Phasma AI?
What is required to deploy Phasma AI?
Swarm. Code. Automate.
Autonomous agents with dynamic orchestration enabling real-time R&D, coding & API automation via decentralized collaboration.
Swarm. Code. Automate.
Autonomous agents with dynamic orchestration enabling real-time R&D, coding & API automation via decentralized collaboration.
Swarm. Code. Automate.
Autonomous agents with dynamic orchestration enabling real-time R&D, coding & API automation via decentralized collaboration.