System Initiative recently announced a major set of new capabilities designed to give engineering organizations instant, real-time visibility and AI-driven control across any cloud platform or API. The update introduces expanded support for Microsoft Azure, DigitalOcean, and Hetzner, and enables DevOps, SRE, and platform engineering teams to model, automate, and migrate infrastructure without relying on scripts, manual processes, or provider-specific tooling.
The release comes as multi-cloud complexity surges across the industry. “Our research shows that over 76% of enterprises operate across multiple clouds, yet nearly 70% of DevOps and SRE teams report being constrained by manual scripts and fragmented toolchains,” said Paul Nashawaty, Practice Lead and Principal Analyst at theCUBE Research. “System Initiative’s platform changes the landscape, giving teams live digital twins, AI-driven automation, and real-time collaboration across AWS, Azure, DigitalOcean, Hetzner, and any API. For practitioners, this isn’t just automation; it allows for confidence and clarity at scale.”
At the center of the announcement is a new multi-cloud discovery engine that creates a digital twin of AWS, Azure, or any public or private API. The platform reconstructs entire environments, resources, dependencies, and relationships within minutes, enabling teams to understand their infrastructure as it exists, not as it was last documented. This is paired with AI-driven templates that can capture live configurations and redeploy them across clouds, supporting disaster recovery, rapid delivery, and cross-environment standardization.
System Initiative is positioning these capabilities as a break from traditional infrastructure-as-code approaches. They have recently launched an AI platform that simplifies infrastructure automation, and these new updates further expand this across the multi-cloud space. Rather than rely on static files, serialized state, or lengthy code reviews, teams can now collaborate in real time with “live multiplayer automation,” validating changes through continuous feedback and safe-by-default modeling. Organizations can visualize every resource with full security and compliance checks, accelerate migrations, and ensure changes remain drift-free and auditable.
Co-founder and CEO Adam Jacob emphasized the pain points the platform aims to solve. “I have spent my whole career building and running large-scale systems, and I know the frustration of waiting months for the right automation or stitching together fragile scripts just to get basic clarity” Jacob said. “We are empowering teams to discover, migrate, and manage everything, anywhere, all in real time. With System Initiative, the old limits are gone. You don’t adapt your workflows to our platform; our platform adapts instantly to your environment, APIs, and needs.”
The new multi-cloud and API capabilities are available immediately to all customers, with a free trial offered for new users. System Initiative will showcase live demos of its fast onboarding, cross-cloud migrations, and collaborative automation workflows at AWS re:Invent 2025.
While System Initiative emphasizes conversational automation, live modeling, and agentic workflows, other vendors have taken different but complementary approaches.
Pulumi is a leading infrastructure-as-code (IaC) solution that supports multi-cloud environments via its Automation API and Pulumi Cloud. With Pulumi Neo, the company recently introduced an AI “platform engineer” agent that can provision, manage, and optimize cloud resources across multiple clouds under policy constraints. Neo works within Pulumi’s IaC context, respecting governance guardrails and providing previews and history of changes. Pulumi’s platform offers deep customization via code and policy-as-code, enabling teams to build highly controlled, automated infrastructure without switching away from their existing IaC stack.
HashiCorp, meanwhile, is building what it calls “agentic infrastructure” through Project Infragraph, a unified, real-time infrastructure knowledge graph that captures state, configuration, ownership, and policy data across hybrid clouds. The graph is intended to power AI-led automation, reasoning, and remediation by providing context-rich visibility across Terraform-managed resources, Kubernetes, and other systems. This model provides similar goals to System Initiative, enabling automated, intelligent operations, but starts from a data-graph foundation instead of a conversational, live-twin interface.
<System Initiative is positioning itself as a highly accessible, AI-native infrastructure automation platform with its recent set of announcements, in an area that may become a rapidly developing space.
