Maple AI Consultants

AI consulting case studies by Joel & Nanz Inc.

Research • 35 Scientists

Case Study 33: Pharmaceutical Research Lab

Marketing-optimized case study for Canadian SMBs.

$186,000
Annual Savings
380%
ROI
3.8 months
Payback
Research • 35 Scientists
Industry Focus

Executive Summary

Literature Review: RAG system searches 20+ years of lab notebooks, published papers, and experimental protocols. Natural language queries find relevant research and methodologies.

Challenge

Solution

  • Literature Review: RAG system searches 20+ years of lab notebooks, published papers, and experimental protocols. Natural language queries find relevant research and methodologies.
  • Experiment Design: AI suggests experimental protocols based on research objectives and historical data. Optimizes variables and identifies potential confounds.
  • Data Analysis: Automated statistical analysis of experimental results with AI-generated interpretation and visualization. Flags anomalies and suggests follow-up experiments.

Technical Stack

Key Metrics

12
Literature review time reduced from 12 hours to 1.5 hours per project
58%
Experiment design time reduced 58%
3
Data analysis turnaround improved from 3 days to 4 hours
31%
Failed experiments reduced 31% through better design
5
Researcher productivity increased equivalent to 5 additional FTE ($186k value)

Implementation Timeline

12 weeks including data migration and scientist training

Ready to map your SMB workflow?

We can estimate ROI and scope the right MapleWorkSuite configuration for your team.

Start a Custom Case Study