Pervaziv AI today announced Cortex Cloud, a managed cloud execution layer for Cortex that gives users a clear choice between Local execution and durable remote execution through Cortex Cloud. Cortex Cloud extends Cortex Connect with local or managed cloud execution across mobile, browser and VS Code, with durable state and enterprise control.
Modern engineering work rarely begins and ends in one place. A developer may discover a compatibility issue while reading documentation in a browser. An engineering leader may need to initiate a bounded task from a phone. A developer may start a larger request in Visual Studio Code and want the work to continue without keeping the editor session active.
Cortex Connect addressed the continuity problem. It connected the user, conversation, project and progress across supported work surfaces. Its first execution model remained centered on the connected development workspace. Cortex Cloud extends the execution boundary.
Users can keep eligible work Local when the connected machine is the right environment, or choose Cortex Cloud when the workflow benefits from a managed remote destination. The objective remains consistent. The conversation remains in Cortex. The selected execution destination changes without forcing the user to reconstruct the task or move into a separate cloud interface.
“Enterprise AI becomes far more useful when work can continue without being tied to one device, one session or one environment,” said Anoop Jaishankar, Founder and CEO of Pervaziv AI. “Cortex Cloud gives that work a durable place to run while keeping the user, project state, execution boundary and result connected.”
The most visible part of Cortex Cloud is intentionally simple. Cortex now presents a compact execution selector across Visual Studio Code, supported browsers and mobile. Within an authenticated Cortex session, users can choose Local or Cortex Cloud directly from the experience. If a user chooses Cortex Cloud, the platform does not silently fall back to Local execution when the managed cloud path is unavailable.
Remote execution becomes useful only when the system can answer a basic question with confidence: what exact project state did the work use? For project aware cloud workflows, Cortex Cloud uses a stable committed source revision as the basis for handoff. Uncommitted local edits are not silently treated as though they already exist in the cloud.
“Reliable cloud execution starts with knowing exactly what work is being performed, against which project state and within which controls,” said Irina Calciu, Founding Systems Architect at Pervaziv AI. “Cortex Cloud gives eligible engineering tasks a dedicated environment with the appropriate repository state, tools, permissions and organizational policies, then returns the result through the same connected workflow.”
Cortex Cloud is designed around durable workflow state. The active client is a view into the work, not the sole owner of it. A browser refresh, laptop sleep, mobile network change or temporary interruption does not need to turn an active task into an unknown outcome. The launch follows Pervaziv AI’s recent work on long running AI reliability, including Cortex semantic context compaction to preserve facts, decisions and constraints as workflows grow.
About Pervaziv AI
Pervaziv AI is building Cortex as an Enterprise AI Control Layer connecting human intent, specialized intelligence, project context, workflow state and governed execution.
