How Dali Transforms
Infrastructure Management

Dali fuses Model Context Protocol with L4 autonomous agents to help teams manage multi-cloud environments without constant human intervention.

The Autonomous Journey

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01

Context-aware intent and least-privilege planning

Dali uses MCP reasoning to interpret intent, plan safely, and enforce least-privilege and policy constraints.

02

Cloud-agnostic orchestration with live observability

It orchestrates resources across clouds with real-time observability, detecting drift and responding to incidents autonomously.

03

Feedback-driven learning and policy refinement

Feedback from execution refines policies and improves orchestration reliability over time.

Core Capabilities

Model Context Protocol Engine

Interprets intent and enforces least-privilege and policy constraints using MCP patterns across cloud environments.

L4 Autonomous Agent Framework

Observes infrastructure, executes autonomously, and escalates only for critical exceptions, ensuring context-aware operations.

Unified Multi-Cloud Control Plane

Orchestrates AWS, Azure, GCP, and on-prem resources, detecting drift and adapting remediation without vendor lock-in.

Autonomous Remediation Engine

Learns from incidents to automate root cause analysis and refine remediation strategies for improved reliability.

What Makes Dali Different

First L4 Autonomy

Agents achieve L4 autonomy, reasoning and executing without constant human intervention.

Standardized MCP Interface

Leverages a standardized MCP interface for seamless understanding of any infrastructure documentation.

Unified Multi-Cloud Control

Single control plane enabling consistent autonomous management across all cloud and on-prem environments.

90% MTTR Reduction

Rapid detection and autonomous remediation reduces downtime and operational overhead significantly.

Policy-Driven Safety

Embedded guardrails ensure policy compliance and safe operations with human oversight for critical decisions.

Continuous Learning

Agents evolve with each incident, continuously refining reasoning, remediation strategies, and operational efficiency.

Impact

5min

Target average time from detection to remediation for autonomously handled incidents

0%

Aiming for up to 90% reduction in mean time to recovery for automated incidents compared to manual response

0%

Projected cloud cost savings on workloads optimized and managed autonomously by Dali

Ready to transform infrastructure management?

Discover how Dali can help your team achieve true L4 autonomy across multi-cloud environments.

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