Automate Statistical Analysis for Tech Teams
Let your AI agent tackle complex modeling, draft reports, and create visuals—so you can focus on research, not repetitive tasks.
If you're a data scientist or research analyst, you know the pain of wrangling data in Excel, writing R scripts, and formatting endless Word documents. Hours disappear to manual calculations, protocol edits, and back-and-forth emails with collaborators. The real work—innovating and interpreting results—gets pushed aside by tedious, error-prone tasks.
An AI agent that handles statistical analysis, sample size calculations, and report drafting for technology and software research teams.
What this replaces
The hidden cost
What this is really costing you
In technology and software companies, research analysts and biostatisticians spend hours exporting data from REDCap or SQL databases, coding analyses in R or SAS, and formatting results in PowerPoint for stakeholders. Every new study means recalculating sample sizes, updating protocols, and revising reports for regulatory review. These repetitive tasks drain valuable time and increase the risk of mistakes.
Time wasted
8-10 hrs/week
Every week, burned on work an AI agent handles in minutes.
Money lost
$20,800/year
In salary, missed revenue, and operational drag — annually.
If you keep ignoring it
Missed regulatory deadlines, inconsistent documentation, and increased risk of statistical errors can lead to project delays and lost funding.
Cost estimates derived from U.S. Bureau of Labor Statistics occupational wage data and O*NET task analysis.
Return on investment
The math speaks for itself
Today — without agent
8-10 hrs/week
of manual work
With your AI agent
2 hrs/week
agent-handled
You save
$15,600/year
every year, reinvested into growing your business
Estimates based on U.S. Bureau of Labor Statistics median salary data and O*NET task importance ratings from worker surveys. Time savings assume 80% automation of eligible task components.
Jobs your agent handles
What this agent does for you
Complete jobs, handled end-to-end — so your team focuses on what matters.
Drafting a Clinical Study Report
You ask your agent to summarize statistical findings and generate a formatted report for a recent clinical trial.
Calculating Sample Size for a New Study
You ask your agent to determine the optimal sample size using your study parameters and deliver supporting calculations.
Preparing Visuals for Conference Presentation
You ask your agent to create tables and graphs from your latest dataset for inclusion in a professional presentation.
Reviewing Statistical Methods in a Protocol
You ask your agent to evaluate a draft research protocol and suggest improvements to the statistical analysis section.
How to hire your agent
Connect your tools
Link your data mining, clinical trials database, and data visualization software to the agent.
Tell your agent what you need
Type: 'Analyze this survey data using mixed-effect modeling and provide a summary table and interpretation.'
Agent gets it done
Receive a statistical summary, model outputs, and a formatted table with clear interpretation notes.
You doing it vs. your agent doing it
Agent skill set
What this agent knows how to do
Automated Data Analysis
Pulls datasets from REDCap or CSV files, runs mixed-effect models or logistic regression, and delivers annotated output tables.
Sample Size Estimation
Calculates optimal sample sizes for clinical studies using user-defined parameters and generates supporting documentation in PDF.
Protocol and Report Drafting
Drafts detailed statistical methods and findings sections in Microsoft Word, ready for regulatory or internal review.
Data Visualization Creation
Generates publication-ready charts and tables from raw data, exporting directly to PowerPoint or PNG for presentations.
Algorithm Customization
Implements tailored analysis workflows based on your research design and provides reproducible code with inline comments.
Statistical Consultation
Reviews draft protocols and suggests appropriate statistical approaches, summarizing recommendations in a structured memo.
AI Agent FAQ
The agent can import data directly from REDCap, CSV files, or SQL databases. Integration with RStudio and SAS is supported for seamless data transfer.
Statistical outputs use validated methods, and all calculations are documented for audit trails. Final review by a credentialed biostatistician is recommended before submission.
All data transfers use TLS 1.3 encryption. No data is retained after processing, and access is limited to authorized users only.
Yes, the agent supports mixed-effect models, longitudinal analysis, and logistic regression. You can specify the method and receive detailed, reproducible outputs.
By automating data pulls, calculations, and report drafting, the agent can cut manual work by up to 75%. Most users spend less than two hours a week overseeing results.
Automatable tasks
See how much your team could save with AI
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