PRSM is an AI orchestration platform that turns high‑level engineering initiatives into coordinated multi‑agent workflows. Its Hypervisor decomposes projects into components and assigns them to governed Organizations, where Critic agents enforce quality gates, generate hidden tests, and manage integration, while intelligent routing routes tasks to multiple model providers for simultaneous design, coding, and review. The system delivers merge‑ready code with automated review, conflict resolution, and real‑time visibility for engineering leaders.
Funding
Funding not disclosed
Founders
Product
Problem
Software development teams relying on a single AI coding assistant face scalability issues, including limited context handling, inconsistent review and merge processes, and poor visibility into complex runs. These constraints hinder reliable, large‑scale automation of code delivery.
Solution
PRSM provides an AI orchestration platform that transforms high‑level engineering initiatives into coordinated multi‑agent workflows. A central Hypervisor decomposes initiatives into components and assigns each to governed Organizations, each overseen by a Critic that enforces quality gates, hidden test generation, and integration rules. The system routes tasks to multiple model providers (e.g., Claude, Gemini, Codex) based on task complexity, enabling simultaneous execution of architecture design, test authoring, and code review. Session portability lets existing CLI contexts be transferred between agents, while worktree isolation and scoped permission routing ensure safe tool usage. Throughout execution, live operational visibility is offered via VS Code integration, and deterministic communication across the agent graph maintains traceability. The result is merge‑ready code delivered with automated review, conflict resolution, and comprehensive reporting.
Target Audience
Primary customers are engineering leaders and development teams building complex software who need automated, governed AI assistance for planning, coding, testing, and merging at scale.
Features
- Hypervisor-driven initiative decomposition and component topology planning
- Role‑based Organizations governed by Critic agents that enforce review gates and integration policies
- Intelligent model routing that selects optimal providers and model sizes per task
- Simultaneous coordination of agents from multiple vendors (Anthropic, OpenAI, Google, etc.)
- Session portability to ingest and transfer CLI contexts between agents with a single click
- Worktree isolation and scoped permission routing for secure tool execution
- Automated hidden test generation and deterministic mailbox/receipt communication
- Live status dashboards and VS Code integration for real‑time monitoring and intervention