- Agentic AI powered by foundation LLMs: AI agents that work with the foundational models on AWS, Azure, or GCP already approved by the enterprise.
- Self-service infrastructure provisioning with predefined catalogs, single sign-on, and role-based access control.
- Consistent security, governance, and policy enforcement across environments and cloud providers.
- Repeatable infrastructure patterns derived from best practices and knowledge bases.
iNimbus: Agentic AI for Cloud Migration and Infrastructure Automation
An agentic AI–driven platform, powered by foundation LLMs and Persistent's migration knowledge base, that closes the gap between discovery, migration strategy, and deployable cloud outcomes.
The migration gap no script can close
Large enterprises modernizing to cloud face a persistent disconnect between application discovery, migration strategy, and deployable infrastructure. With AI now available, the expectation is to automate and expedite migrations so cloud benefits are realized faster — but most programs still rely on rule-based automation that doesn’t scale across multi-cloud estates.
10x
faster migration strategy definition
3x
faster infrastructure provisioning
99%
less error-prone deployments
Works across AWS, Azure, GCP and on-premise environments
Three stages. One agentic platform
iNimbus operates across three stages of the transformation lifecycle, providing autonomous decision support for repeatable, scalable migrations and standardized infrastructure provisioning.
| Stage | What iNimbus Does |
|---|---|
| Discover | Consolidates application, hardware, and utilization data from multiple sources to establish a consistent and accurate baseline. AI Discovery Agents surface application and infrastructure insights. |
| Strategize | Applies enterprise policies, Well-Architected Frameworks, and migration guidelines to recommend disposition strategies (Rehost, Replatform, etc.) and target deployment architectures, with traceability back to source data. |
| Provision | Translates approved strategies into standardized, right-sized cloud infrastructure using deployment catalogs and controlled approval flows. |
Key Capabilities
- Lifecycle-managed deployments, including time-bound environments and automated cleanup.
- AI chat interface so migration teams can interact and approve cloud infra for faster deployments.
- Right-sizing engine that evaluates on-prem resource utilization and recommends optimized cloud infrastructure.
Not another migration tool. A migration operating model
A self-care portal with pre-integrated migration patterns and a migration wizard, not just a tool, a productized experience.
Autonomous decision support, not rule-based automation: AI agents reason over enterprise knowledge bases, naming conventions, and guidelines to scale beyond what scripts can.
Multi-cloud by design: one platform across AWS, Azure, GCP, and on-prem.
Standardization at the core: abstracts cloud-specific constructs behind uniform catalogs and workflows, so infrastructure provisioning follows the same process regardless of the underlying provider.
Outcomes
Faster and more accurate cloud migrations to any hyperscaler
Lower TCO through right-sized infrastructure recommendations
Consistent governance and compliance across multi-cloud estates
Reduced manual effort and dramatically lower error rates in IaC deployments
Ready to make cloud migration agentic?
Talk to a Persistent cloud expert to see how iNimbus can compress your next migration program.
Talk to a Persistent cloud expertContact us
(*) Asterisk denotes mandatory fields
