LateriteAI agents
Research agents & workflows.
Explore LateriteAI's suite of research agents for quantitative analysis, qualitative research, survey instruments, and intelligent knowledge hubs.
Quantitative agents
From datasets to defensible analysis.
Quantitative agents help research teams move faster through data cleaning, descriptive analysis, modelling, visualization, and interpretation, while keeping assumptions visible and outputs easy to review.
AutoQuant supports end-to-end quantitative analysis. Researchers upload a dataset and provide analytical instructions; the agent produces reproducible code, structured outputs, tables, charts, and a draft interpretation for review.
Workflow
Deep dataset analysis
Inputs
Clean datasets, research questions, analysis plans, variable notes
Outputs
R scripts, regression tables, descriptive statistics, charts, and interpretation notes
AutoClean helps teams prepare datasets for analysis by surfacing structural issues and likely data-quality problems before they become harder to diagnose downstream.
Workflow
Data preparation
Inputs
Raw or cleaned datasets, codebooks, merge keys, variable notes
Outputs
Cleaning checks, flagged issues, suggested fixes, and review notes
AutoSum turns structured data into a first layer of descriptive evidence for review, helping researchers inspect patterns, compare groups, and spot caveats before writing or modelling.
Workflow
Descriptive analysis
Inputs
Datasets, subgroup definitions, treatment variables, time periods
Outputs
Summary tables, subgroup cuts, comparison notes, and data-quality caveats
Want early access to a workflow?
Tell us which agents fit your research and we'll get you set up with the live tools and a roadmap for what's next.