Research at institutional scale
Zerve Superagents turn research objectives into teams of autonomous agents that experiment and validate in parallel. Built for hedge funds, asset managers and banks to accelerate research at scale, entirely within their own infrastructure.
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Superagent
The Quant Researcher
3 coordinators · 18 workers · 0 active runs
Coordinator
Data Intelligence Hub
Synthetic equity data and momentum signals
3 workers
Data Intelligence Hub
Data pipeline coordination and quality assurance
Schema Explorer
Synthetic data generation and profiling
SQL Craftsman
Momentum signal computation pipeline.
1 output
Coordinator
Quantitative Analysis Engine
Exploratory and statistical analysis
1 output4 workers
Quantitative Analysis Engine
Statistical analysis and time-series diagnostics
EDA Specialist
Distribution analysis and correlation insights
5 outputsStatistician
Hypothesis testing and effect size analysis
1 outputTime-Series Analyst
Stationarity testing and regime detection
4 outputs
Coordinator
Strategy & Risk Lab
Backtesting and machine learning model optimization
4 workers
Strategy & Risk Lab
Feature engineering and model validation framework
Feature Engineer
Leakage-free feature construction and validation
Backtester
Strategy backtest and performance tearsheet
ML Tuner
Walk-forward ML training and model comparison
1 output
Give it an objective, not a prompt
Zerve Superagent breaks down complex research objectives, assembles specialized agents, and executes work in parallel. Every agent operates in a fully inspectable environment, with its own code, compute, and results.
