AutoCM is an unsupervised artificial neural network that identifies non-linear relationships traditional statistical methods miss. Transform CSV data into actionable insights with MST, MRG, and H₀ function analysis.
AutoCM combines multiple sophisticated algorithms to provide comprehensive insights into your data relationships.
Get started with AutoCM in three simple steps. Works with sparse data and small datasets.
Send a CSV-style table with n-variables (columns) and m-rows of values. Variables can be of different types, enabling cross-domain analysis.
Our neural network analyzes relationships using the H₀ function, generating MST and MRG graphs that reveal hidden patterns and connections.
Receive interactive graphs showing node relationships and their relevance weights. Spectral clustering helps identify similar groups instantly.
From retail to healthcare, AutoCM reveals relationships that traditional methods cannot detect.
Discover which products are naturally purchased together, even without transaction history. Perfect for merchandising and cross-selling strategies.
Identify unexpected connections between products and locations, or customers and regions to optimize distribution and marketing.
Understand hidden patterns in customer behavior and preferences to suggest new destinations, products, or services they will love.
Analyze relationships across different variable types simultaneously: product-country, customer-preference, color-size, and more.
Interested in using AutoCM for your data analysis? Fill out the form below and we'll get in touch with you shortly.