We are building the system that makes every commercial decision in an industrial company evidence based.
Large companies spend millions on pricing and growth programs that end with a report. Aristotle turns that work into software that runs every day, so mid market industrial companies get the same capability at a fraction of the cost.
Three shifts make AI-native pricing and growth possible today.
A one percent price improvement lifts operating profit far more than the same gain in volume or cost, yet most mid market companies still price from spreadsheets.
Cloud ERP and CRM systems hold quotes, orders and accounts in a form that software can read directly.
Language model agents now read filings, quotes and market data, and check their own work, at a cost no consulting team can match.
Aristotle grew out of more than 50 programs that proved the method and showed it could be automated.
Sam Garg led more than 50 pricing, growth and diligence programs for industrial companies as an Associate Partner at McKinsey.
Aristotle Technology is founded to turn the method into software that clients keep.
Pricing Intelligence and Forecasting deliver $8M and $150M of impact at two semiconductor companies.
Three products and a research engine run on one commercial data model, deployed at industrial companies.
Four principles shape the product and the way we work with clients.
Every recommendation shows its source and its working.
Results are measured in the P&L against a baseline agreed with finance.
Data, models and applications stay with the client.
Each quarter of data makes every application more accurate.
The team brings together strategy consulting and operating experience.
Sam GargFormer McKinsey Associate Partner who led more than 50 growth, pricing and diligence programs for Fortune 500 industrial companies.
Beatriz AbramofRuns deployments end to end, from the first data connection to quarterly reviews.
The method was proven by hand on more than 50 programs.
Growth strategy, pricing and diligence work for industrial companies, led by the founder at McKinsey. One example is published; more follow once cleared for publication.