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ML Operations

Zerve

Agentic data science platform now focused on AI superagents for investment research

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About Zerve

Zerve offers Superagents, autonomous agents that break research objectives into sub-tasks and run them in parallel with inspectable code and results. The current positioning targets hedge funds, asset managers and banks, with air-gapped, VPC or managed deployment.

Common use cases

  • Factor research
  • Investment screening
  • Portfolio construction
  • Risk reporting

Products and services

Zerve Superagents

Autonomous agents for research tasks such as signal research and portfolio analysis.

Key features

  • Autonomous agents
  • Parallel task execution
  • Inspectable code and compute
  • Audit logging
  • Guardrails on data sources

Integrations

  • AWS
  • Microsoft Azure
  • Google Cloud

Zerve alternatives

FAQs

Where can it run?

Air-gapped on-premises, a self-hosted VPC on AWS, Azure or GCP, or Zerve-managed cloud.

Who is it for?

Hedge funds, quant firms, asset managers and banks.

What controls does it offer?

Guardrails, version-controlled skills, audit logs and compute limits.

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