Coming Q2 2026 - Development in Progress

EDAAI: Multi-Agent AI Framework

Enterprise-grade autonomous agent orchestration platform for complex business workflows and intelligent decision-making.

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Development Roadmap

Track our progress towards launch

Alpha Release

Q1 2026
  • Core agent framework
  • Basic orchestration
  • Multi-model support
  • Limited pilot partners

Beta Release

Q2 2026
  • Advanced workflows
  • Real-time learning
  • Enterprise security
  • Expanded partner access

General Availability

Q3 2026
  • Full feature set
  • Enterprise support
  • Developer ecosystem
  • Public launch

Enterprise-Grade AI Capabilities

Built for scale, security, and sophistication

Autonomous Agent Orchestration

  • Self-directed agent task execution
  • Multi-agent collaboration and coordination
  • Dynamic goal decomposition and planning
  • Automatic error recovery and retry logic

Multi-Model Integration

  • OpenAI GPT-4, Claude, Gemini support
  • Bring your own model (BYOM) capability
  • Automatic model selection and routing
  • Cost optimization across providers

Real-Time Learning & Adaptation

  • Continuous learning from interactions
  • Domain-specific knowledge accumulation
  • Contextual memory and recall
  • Performance monitoring and optimization

Enterprise-Grade Security

  • End-to-end encryption for all data
  • Role-based access control (RBAC)
  • SOC 2 Type II compliance
  • Audit logging and compliance reporting

Enterprise Use Cases

Transform complex workflows with autonomous AI agents

Business Process Automation

Automate document processing, data entry, approvals, and compliance workflows with intelligent agents.

Complex Workflow Orchestration

Coordinate multi-step processes across teams, systems, and external APIs with adaptive agents.

Enterprise AI Solutions

Build custom AI assistants for legal, financial, HR, and other enterprise departments.

Custom Agent Development

Develop specialized agents with our SDK for domain-specific tasks and integrations.

Technical Specifications

Built on cutting-edge AI infrastructure

Architecture

  • Microservices-based design
  • Kubernetes orchestration
  • Event-driven architecture
  • Horizontal scalability

Integration

  • RESTful API + GraphQL
  • WebSocket for real-time
  • Webhook notifications
  • Python, Node.js, .NET SDKs

Performance

  • Sub-second agent response
  • 1000+ concurrent agents
  • 99.9% uptime SLA
  • GPU-accelerated inference

Join the Future of Enterprise AI

Be among the first to experience autonomous agent orchestration.

Request Early Access Become a Partner

Limited spots available for alpha and beta programs

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