Zerve Superagents

Zerve Superagents orchestrate research tasks by turning a research objective into a set of sub-tasks and coordinating multiple specialized agents. The system runs in parallel across workers and coordinators, with each agent operating in its own environment that includes code, compute, and results. The platform emphasizes inspectability, reproducibility, and governance, with all steps traceable and auditable. It is designed for quant firms, risk teams, and investment professionals who need scalable, auditable research workflows.

Zerve describes how a project starts when an objective is given, and how the Superagent decomposes work, assigns executor agents, and executes in parallel across Docker runners. The architecture supports multiple layers of agents—from coordinators and workers to specialized sub-agents—while maintaining centralized guardrails and access controls. The result is a coherent, auditable workflow where results can be inspected and validated at each stage.

The main capabilities include building autonomous research workflows, enforcing guardrails and data access policies, logging and attribution of all queries and outputs, deterministic results through codified steps, and scalable parallel computation. The system supports on-premises and cloud deployments, with options for air-gapped environments and self-hosted VPCs. It integrates with enterprise data sources and markets data feeds while keeping data within the user’s security perimeter.

Zerve outlines deployment options and integrations, highlighting on-premises, self-hosted cloud, and managed cloud configurations. It notes air-gapped deployments, and the ability to connect to cloud providers (AWS, Google Cloud, Azure) and internal data services. The platform emphasizes security, governance, and the ability to run within a firm’s own infrastructure while offering managed services where appropriate. Plans and integrations focus on enterprise-scale deployment and control.

Use cases

• Turn an investment research objective into tested strategies with reproducible results