From Multi-Cloud Complexity to Autonomous Control

In today’s multi-cloud environments, operational complexity continues to increase while governance, sovereignty, and execution speed remain critical. Traditional automation models are no longer sufficient.

Agentic Multi-Cloud Management introduces an intent-driven, intelligence-led operational approach that embeds reasoning capabilities, policy-aware orchestration, and end-to-end governance directly into the execution layer. This model transforms fragmented multi-cloud infrastructures into coordinated, self-optimizing systems operating within defined strategic and regulatory boundaries.

  • AI Virtual Assistant for Cloud Operations
  • Agentic Workflow Automation
  • End-to-End Multi-Cloud Orchestration
  • Intent-to-Execution Intelligence
  • Closed-Loop Optimization
  • Autonomous Incident Resolution
  • Embedded Governance & Compliance by Design
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  • Agentic Workflow Automation

    Design and execute complex workflows with no-code / low-code tools. Agentic multi-cloud management supports deterministic and repeatable execution graphs with built-in retry logic, rollback capabilities, and strategic check-points enabling human-in-the-loop.

  • Virtual Assistant + Planning

    The integrated Virtual Assistant understands operational intent expressed in natural language, automatically proposing comprehensive action plans and mapping high-level objectives into detailed, executable workflows.

  • Multi-Cloud Orchestration

    Operate across a unified model that seamlessly spans infrastructure, cloud platforms, applications, and network domains with vendor independence and multi-tenant support.

  • Governance + Sovereign Ready

    MACE is architected for data sovereignty requirements, supporting localized data residency and region-specific compliance mandates from day one. Every action flows through comprehensive policy enforcement.

Key Features

How agentic multi-cloud management agents execute safely and learn continuously

  • Reasoning & Planning

    • Restart pods / evict nodes
    • Migrate VMs / refresh volumes
    • Reconcile workloads / fix drift
    • Redeploy CNFs

  • Intent-Based Operations

    • Operators state intent instead of providing complex commands
    • Agents interpret requests and generate execution plans

  • Human-in-the-Loop Safety

    • Explains plan & rationale
    • Highlights risks & impact
    • Operator approves, modifies, or rejects

  • Closed-Loop Optimization

    • Learns from corrected anomalies
    • Optimizes for MTTR, SLA, OPEX, energy
    • Continuous model feedback loops

  • Sovereignty & Regulatory Compliance

    • Data sovereignty
    • Region-specific regulatory compliance
    • Tenant isolation, audited workflows

  • Autonomous Incident Resolution

    • Fewer tickets through noise reduction
    • Automation replaces repetitive operations
    • Lower key-person risk with faster team onboarding

  • Network Orchestration & Automation

    Odine’s approach brings simplicity to complexity by unifying physical infrastructure, VNFs, and CNFs under one intelligent framework. Operations are automated and streamlined, reducing manual effort while enhancing agility and control.

    Network Orchestration & Automation

  • AI-Driven Prediction & Optimization Platform

    Unified data streams, providing both the clarity to understand current performance and the foresight to anticipate future outcomes.

    AI-Driven Prediction & Optimization Platform

  • AI-Based Telco Cloud Assurance

    AI-Based Telco Cloud Assurance is designed to simplify root cause analysis and debugging in complex telco-cloud environments.

    AI-Based Telco Cloud Assurance

  • Intelligent RAN Steering

    Intelligent RAN Steering offers a data-driven approach to Public Land Mobile Network (PLMN) steering, moving beyond static, manual methods to an automated, intelligent solution.

    Intelligent RAN Steering

  • Network Digital Twin

    Model your network, continuously monitoring & predicting trends, together with simulation capabilities to perform impact analysis for network updates.

    Network Digital Twin

  • AI-Based Document Analyzer and Conversational Gen-AI Platform

    Hybrid AI platform that processes sensitive documents entirely on-premises, securely replicates only approved content to the private cloud, and unites an AI Document Analyzer (RAG) with a Conversational AI Chatbot.

    AI-Based Document Analyzer and Conversational Gen-AI Platform

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