Applied Research
Applied research
Three operations, each told in the same six steps. The facts, formulas and indicators come from the existing Menlo Tech cases; simulated values are never presented as results.
Business problem
Mathematical foundation
Technical architecture
Agentic execution
Business impact
Evaluation & learning
Real Estate Intelligence
RE/MAX
Turning real estate data into an intelligent acquisition and decision system.
Illustrative exampleNot published
- Problem
- Search by preset filters (neighborhood, price, bedrooms) misses what people actually say: near the metro, no line changes, school within walking distance, and quiet.
- Mathematics
- Semantic retrieval · Multi-objective ranking · Constrained optimization · Demand forecasting · Journeys as a Markov chain
- Evidence
- Each line describes a relationship expected by the design. None is a measured result: no percentages are published for this case.
Financial and Document Intelligence
Clave
From fragmented financial workflows to intelligent credit operations.
Proposed architectureIllustrative exampleNot published
- Problem
- Unstructured documents, in different formats and qualities, with inconsistent data between them.
- Mathematics
- Confidence calibration and decision threshold · Bayesian inference over evidence · Financial mathematics: payment and cost · Policy-driven routing across institutions
- Evidence
- These are improvements expected by the phase-one design. The tour cites design parameters, such as at most 200 proposals per analyst, not measured results.
Franchise Revenue Intelligence
Subway Brasil
Engineering revenue operations at enterprise scale.
Published indicatorSimulated valuesProposed architecture
~1,500
Stores in the network (approximate)+1,000
Titles per month+500 h
Hours of manual work avoided per month4.5/5
Network satisfaction with collectionsSource: indicators published by Menlo Tech at menlopagamentos.com.br/subway. There are no public recovery percentages and none is inferred here.