Pervaziv AI launches Cortex Cloud for managed enterprise AI execution

Pervaziv AI on September 10, 2026 launched Cortex Cloud, a managed execution layer for Cortex that lets users choose local or remote cloud execution across mobile, browser and Visual Studio Code. The release is designed to keep enterprise AI workflows durable, governed and tied to project state as work moves across devices and environments.

Why it matters: - Cortex Cloud gives enterprise teams a way to run AI-assisted work in a managed environment without breaking the connection to user intent, project state and workflow progress. - The launch is aimed at one of enterprise AI’s hardest problems: keeping work visible, governed and recoverable as it moves across devices, sessions and tools. - Pervaziv AI is positioning Cortex as an Enterprise AI Control Layer, not just a chat interface.

What happened: - Pervaziv AI announced Cortex Cloud on September 10, 2026 in San Francisco. - Cortex Cloud is a managed cloud execution layer for Cortex. - Users can choose Local execution or Cortex Cloud from within authenticated Cortex sessions. - The feature is available across mobile, supported browsers and Visual Studio Code. - Pervaziv AI says Cortex Cloud extends Cortex Connect, which launched in August.

The details: - Cortex Cloud is built for eligible work that should continue remotely while staying tied to the original Cortex workflow. - A developer can start a task in Visual Studio Code, a browser or mobile, then follow progress and return to the result in the same workflow. - Local execution keeps work close to the connected development environment. - Cortex Cloud sends eligible work to a managed remote execution environment for durable, project-aware workflows. - Cortex treats the execution choice as a boundary, not a preference. If the cloud path cannot proceed, Cortex returns an appropriate state instead of silently switching to Local. - For remote handoff, Cortex Cloud uses a stable committed source revision as the basis for execution. - Uncommitted local edits are not treated as if they already exist in the cloud. - If the working copy is not eligible, Cortex stops the handoff and prompts the user to prepare the project first. - Once eligible, Cortex Cloud creates an isolated managed execution workspace tied to the authorized user, project and workflow. - The platform handles workspace and compute placement behind the product boundary, subject to organizational controls and availability. - Cortex Cloud is designed so the active client is only a view into the work, not the owner of the work. - Browser refreshes, laptop sleep, mobile network changes and temporary interruptions do not have to break an active task. - Cortex records workflow state so users can return to the latest durable state, including completion, cancellation, attention states and terminal outcomes. - On mobile, users can start eligible work, watch progress and return later for review. - In the browser, Cortex stays close to documentation, pull requests, issue trackers, dashboards and knowledge systems. - Visual Studio Code remains the place for project structure, local edits, diff review and deciding whether work is ready to share. - The DevSecOps Task Center provides a Cloud Workflows view for active and completed work, including progress, outcome, region when applicable, available actions and error guidance. - Cortex Cloud is supported by Cortex Model Routing, Search Routing, Skill Routing, Cortex Planner, Cortex Connect and semantic context compaction. - The product separates model selection, search, skills and execution placement so each layer can evolve independently. - Enterprise controls include authenticated access, ownership boundaries, policy-based eligibility, regional placement, central capacity management, lifecycle behavior, retention and cleanup. - Operational visibility is limited to bounded metadata such as workflow state, timestamps, region, resource usage, outcome category, retry guidance and lifecycle events. - Pervaziv AI says failures are surfaced as distinct states, including project not ready, policy not permitting the destination, capacity unavailable and remote task stopping before completion.

Between the lines: - The release shows Pervaziv AI pushing beyond model quality and into workflow reliability, which is often the real bottleneck in enterprise AI adoption. - The Local-or-Cortex-Cloud choice suggests Pervaziv AI wants to preserve developer control while still centralizing managed execution where it makes sense. - By tying execution to committed source state and durable workflow records, Cortex Cloud is aimed at reproducibility, reviewability and accountability. - The architecture also hints at a broader platform strategy: keep intelligence, planning, routing, continuity and execution separate enough to evolve independently, but connected enough to feel like one system.

What's next: - Pervaziv AI says Cortex Cloud is the foundation for broader cloud capabilities. - Future expansion is likely to build on identity, source state, workflow ownership, execution placement, interruption recovery and result continuity. - The company is framing Cortex Cloud as the next step in a roadmap that moves AI work from answers to outcomes.

The bottom line: - Cortex Cloud turns managed cloud capacity into part of the workflow, not a separate system users have to operate.