AI Co-Researcher

Expanding the frontier of research

When execution becomes abundant, researchers are free to explore the full landscape of possibility.

Video

Meet AI Co-Researcher

The most important advances in human history began with someone asking a better question. We’re entering a period where autonomous systems can help researchers explore more questions, test more ideas, and reach answers faster than ever before. The opportunity isn’t to replace human expertise, but to amplify it.

Dr Stephen Kinsella

Chair, Autonomous Research Council

Join the world’s top researchers

Our goal

Expand humanity’s ability to discover

The greatest advances in human history began with a question worth investigating. Today, there are more questions than humanity has the capacity to explore.

Researchers

Researchers determine what matters.

Autonomous system

Autonomous systems help explore what is possible.

Together, they can dramatically expand humanity’s capacity for discovery

AI Co-Researcher

Agents for the research cycle

Zerve agents work inside the research process, not beside it.

Step 01

Systematic Review

Search sources, map the literature, and identify what is known, disputed, or missing.

Step 02

Hypothesis generation

Turn gaps, patterns, and prior findings into clear, testable research hypotheses.

Step 03

Analysis

Run experiments, test assumptions, and generate reproducible results from real data.

Step 04

Synthesis

Combine evidence into clear conclusions, outputs, and next steps for further research.

Research areas

Where AI can accelerate serious research

Zerve agents work inside the research process, not beside it.

1

Computational Biology

Genomics, bioinformatics, disease modelling, drug discovery, and reproducible pipelines.

2

Frontier AI

Agent evaluation, reasoning systems, long-horizon tasks, and automated research workflows.

3

Social Science

Evidence synthesis, survey analysis, behavioural modelling, and institutional research.

4

Quantitative Finance

Factor research, alternative data, backtesting, market structure, and portfolio construction.

5

Economics

Causal inference, policy evaluation, macroeconomic modelling, and large-scale empirical work.

6

Climate and Energy

Climate modelling, forecasting, geospatial analysis, energy systems, and transition risk.

AI Accelerated Research

Projects produced with the Co-Researcher

Replication Study · Quantitative Finance

Replicating published factor research

A reproducible reconstruction of published factor research, including data preparation, factor construction, backtesting, figures, and report generation.

Apply for Fellowship
Fellowship

The Zerve Research Fellowship

10,000s of credits

Additional credits

More runs, longer workflows, and deeper experimentation.

Compute Support

Help scaling analyses beyond a local machine.

Technical guidance

Support on agents, workflows, environments, and reproducibility.

Research Support

Help shaping the work into a paper, review, replication study, or research showcase.

Apply for Fellowship

Start with a research question

Try Zerve with 300 free credits, or apply for the fellowship for additional credits and support.