The environment the research runs in

Agents are only as good as what they can reach. Zerve gives them your data, your compute, your libraries, and your conventions, in a structure where every result they produce can be opened, checked, and rerun.

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One workspace: Zerve wires your market, alternative, and paper-archive data into an agent-run research canvas that produces validated signals like momentum decay, regime scans, and carry

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Choose your work

Backtesting and validationSystematic review and replicationAgent and prompt engineeringSignal and factor researchHill climbing and ideation
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The research harness underneath

Agents across the cycle

Sub-agents for ideation, review, coding, analysis, validation, and drafting, coordinated toward the objective you set and working on many lines of inquiry at once.

Compute orchestrated at scale

Agents configure and orchestrate workloads across whatever infrastructure you have, on premises or in the cloud, with fine-grained control from a single step up to a massively parallel run. The constraint on research becomes the question rather than the machine.

Learnings that evolve

Findings, data quirks, and dead ends are documented continuously as agents work, and carry into the next project. Your house conventions are enforced on every run rather than re-explained.

Every step stands alone

Open the step behind any number and see its code, inputs, and source. Rerun it without the agent and get the same answer, in Python, R, SQL, or PySpark.

Built to sit inside your firm

Your data stays where it is, your compliance team sets the rules, and research is shared without leaving your perimeter.

Data

Object storage and file systems

Where vendor deliveries, historical archives, and alternative datasets land, in the cloud or on your own hardware.

Databases and warehouses

Every major store a research or finance team runs, from tick and time-series databases to the warehouse the firm reports out of.

APIs, feeds and MCP

Market and reference data vendors, your own internal services, and MCP servers for custom tools.

Control

Guardrails

Approved sources, permissible tool calls, and required output formats, set centrally.

Skills

Your approval methods, version-controlled and peer-reviewable.

Audit

Every query, model call, and output logged and exportable for model risk review.

Models

Your keys, your gateway, or local hosting. Never stored, never trained on.

Deployment

CapabilityCloudSelf-hosted VPCOn-Premises
Instant setup
Managed compute infrastructure
Data never leaves your environment
Air-gapped operation
Runs on your hardware
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