Autonomous research. Grounded in real execution.

Superagents orchestrate the research. Evolve Mode agents write, run, and validate the code. Zerve's computational environment makes the work inspectable, reproducible, and ready to build on.

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SuperagentsThe Quant Researcher

Superagent

The Quant Researcher

Find and validate equity factor strategies that survive realistic costs.

3 coordinators · 9 workers · 2 active runs

Coordinator
Data Intelligence Hub
3 workers
- Price loader
  Runs:12
- Corporate actions
  Runs:6
- Data quality checks
  Runs:19
Coordinator
Quantitative Analysis Engine
3 workers
- Signal research
  Runs:24
- Factor attribution
  Runs:9
- Regime detection
  Runs:5
Coordinator
Strategy & Risk Lab
3 workers
- Backtester
  Runs:8
- Risk monitor
  Runs:11
- Portfolio constructor
  Runs:4

Every layer of research, open to inspection.

Level 1 / 4

Superagent

The Quant Researcher

Find and validate equity factor strategies that survive realistic costs.

3 coordinators · 9 workers · 2 active runs

Coordinator
Data Intelligence Hub
3 workers
- Price loader
  Runs:12
- Corporate actions
  Runs:6
- Data quality checks
  Runs:19
Coordinator
Quantitative Analysis Engine
3 workers
- Signal research
  Runs:24
- Factor attribution
  Runs:9
- Regime detection
  Runs:5
Coordinator
Strategy & Risk Lab
3 workers
- Backtester
  Runs:8
  Open notebook
- Risk monitor
  Runs:11
- Portfolio constructor
  Runs:4

Built to sit inside your firm. Your data, your controls, your infrastructure.

Data

Databases & warehouses
Connect to Snowflake, Databricks, BigQuery, PostgreSQL, kdb+ and more. Query data directly from your existing environment.
Object storage
Access data in Amazon S3, Azure Blob Storage, Google Cloud Storage and more, using your existing infrastructure and access controls.
APIs, market data & MCP
Work with existing Bloomberg, FactSet, S&P Global and other licensed market data feeds, alongside internal APIs, real-time feeds and MCP servers.

Control

Guardrails
Define policies for code execution, data access, and agent actions, enforced at runtime.
Skills
Encode your firm's research methods once, so agents can reuse them across projects.
Audit
Track agent activity, code execution, and outputs with a clear, attributable history.
Models
Choose your preferred models and providers, or bring your own endpoints.

Deployment

Capabilities by deployment model
Capability	Managed cloud	Self-hosted cloud	On-premises
Zerve manages the application	Yes	Yes	No
Compute runs in your environment	No	Yes	Yes
Data processing runs in your environment	No	Yes	Yes
Entire platform runs in your environment	No	No	Yes
Fully air-gapped deployment	No	No	Yes

Explore security & deployment

The architecture behind autonomous research.

Agents at every layer
Superagents coordinate teams of specialized agents. Each worker uses Evolve Mode to plan, build, and execute research in its own notebook.
Compute orchestrated at scale
Run experiments in parallel, with CPU, GPU, and memory allocated to each workload. Compute scales with demand.
Independent, reproducible execution
Each block runs in its own environment, with versioned outputs that can be inspected and reused without rerunning the entire workflow.
Research that builds on itself
Agents retain findings, decisions, and learnings across assignments, building on previous work rather than starting from scratch.