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Home » Cloud Agnostic: Why Does MAIN Work on Any Cloud?

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Cloud Agnostic: Why Does MAIN Work on Any Cloud?

Sora Nishivara
Sora Nishivara
August 25, 2026
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Vert Analytics
Vert Analytics
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Vert Analytics structures MAIN, its proprietary artificial intelligence solution focused on autonomous agents, around the cloud-agnostic principle, one of the technology’s listed technical characteristics. The proposal addresses a common problem in automation projects: when an entire solution is built within the infrastructure of a single cloud provider, an eventual change of provider can become technically complex and costly because different components were developed specifically for that environment.

Contents
The Lock-In Most Companies Do Not See ComingWhat Does Cloud Agnostic Generally Mean in the Technology Market?Governments Already Operating with Multiple ProvidersOne Characteristic Among Several Listed for MAINAn Advantage That Tends to Appear Over the Medium TermOperating Costs Across Multiple ProvidersIndependence as a Principle, Not Merely an Isolated Feature

A company that invests heavily in automation can gradually accumulate this dependency as each new feature uses resources specific to the selected provider. Over time, switching providers stops being a simple market decision and becomes an assessment of the cost and complexity of the technical reconstruction required to operate in another environment.

The Lock-In Most Companies Do Not See Coming

Companies rarely choose to depend on a single cloud provider as a deliberate strategic decision. This dependency can accumulate as new features are built using resources specific to that provider, without considering the cost of a potential migration from the beginning of the project.

This accumulation can create what is known as vendor lock-in. In this scenario, migrating to another cloud provider may require such a costly technical reconstruction that the company ultimately remains with the original provider, even when it finds another option that it considers better suited to its business, technical, or regulatory needs.

The problem, therefore, is not necessarily the quality of the chosen provider, but rather the level of technical dependency that develops as the solution evolves. The more components become tied to infrastructure-specific resources, the greater the complexity of a future change tends to be.

What Does Cloud Agnostic Generally Mean in the Technology Market?

Conceptually, a cloud-agnostic solution is designed to operate on infrastructure from different cloud providers without requiring a complete technical reconstruction each time the customer changes its chosen hosting environment. The characteristic is specifically related to the ability to avoid structural dependence on a single cloud infrastructure.

Vert Analytics, a company specializing in data, AI, and hyperautomation solutions for government and large enterprises, lists cloud agnostic among MAIN’s technical differentiators, alongside Agent Store, multi-LLM, and high customization.

In this context, cloud agnostic does not mean that all cloud environments are technically identical or that a migration requires no work. The concept refers to the possibility of operating across different infrastructures without having to completely rebuild the solution for each provider.

Governments Already Operating with Multiple Providers

Public-sector organizations frequently maintain infrastructure distributed across different cloud providers. This can happen because of specific public contracts or supplier-diversification policies adopted across different administrations and procurement processes.

A heterogeneous infrastructure environment is precisely one of the scenarios in which a cloud-agnostic solution tends to be more relevant. In this context, adopting a new autonomous artificial intelligence agent can take place without requiring, as a prerequisite, the complete migration of the infrastructure to a single specific provider.

For organizations already working across different environments, this characteristic can reduce a technical barrier related to infrastructure dependency and allow the solution to be considered within the cloud architecture that already exists.

One Characteristic Among Several Listed for MAIN

Cloud agnostic appears alongside other technical characteristics of MAIN, such as Agent Store and multi-LLM. Each addresses a different type of dependency on third-party providers and should not be treated as though they represented exactly the same mechanism.

Cloud agnostic is related to cloud infrastructure; multi-LLM concerns the ability to work with different language models; and Agent Store concerns the organization of different agents within the solution. High customization, in turn, relates to adapting MAIN to the specific needs and rules of each customer.

Vert Analytics presents these characteristics as distinct differentiators of MAIN. Individually, each addresses a specific dimension of the risk of concentration in a third-party provider, whether related to cloud infrastructure, language models, or agent organization.

An Advantage That Tends to Appear Over the Medium Term

The most direct benefit of a cloud-agnostic architecture tends to appear not necessarily on the first day of operation, but over time, when the customer may eventually consider switching providers for commercial, technical, or regulatory reasons.

A solution that is heavily dependent on a single provider can make such a migration more costly because part of the architecture was built specifically for that environment. A cloud-agnostic architecture, by definition, reduces this specific technical barrier by allowing the solution to be designed for different cloud infrastructures.

This does not mean that changing providers is automatic or cost-free. The point is that structural dependence on a single infrastructure tends to be lower, which can expand the alternatives available for future architecture and procurement decisions.

Operating Costs Across Multiple Providers

Maintaining compatibility with multiple cloud providers has a higher technical development cost than building a solution exclusively for a specific environment. This investment involves accounting for different infrastructures and avoiding making the application dependent on resources exclusive to a single provider.

Not all technology providers are willing to assume this additional cost, especially when they could simplify development by restricting the solution to a single provider.

This investment tends to make more sense for large customers that already have distributed infrastructure or that need to meet regulatory requirements related to supplier diversification. This is a common profile among public-sector organizations and large companies served by Vert Analytics.

Independence as a Principle, Not Merely an Isolated Feature

Cloud agnostic reflects a broader principle of reducing risk concentration among third-party providers. The same principle also appears in MAIN’s multi-LLM characteristic, although each of these forms of independence addresses a different type of technical dependency.

Cloud agnostic concerns cloud infrastructure, while multi-LLM relates to dependence on language models. The two characteristics can coexist within the same product, but they do not represent the same mechanism and should not be confused.

Vert Analytics adopts this principle of independence as part of the way it structures MAIN. The proposal is to avoid having future decisions become excessively conditioned by a single provider, without claiming that the different technical characteristics operate as a single integrated mechanism.

TAGGED:O que aconteceu com Vert AnalyticsQuem é Vert AnalyticsTudo sobre Vert AnalyticsVert AnalyticsVert Analytics referência brasileira em inteligência artificial
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