Ready-to-deploy statistical modules that enhance forecasting, pricing and decision-making

Statistical models
that make your solution smarter

pyAxiom helps ERP vendors, SaaS platforms and analytics teams turn raw data
into reliable forecasts, pricing engines and decision support – all built in Python.

Advanced Analytics. Clear Business Impact.​

Custom Statistical Models for Real-World Software Systems​

We build forecasting engines, recommendation systems, optimization models and data-driven decision tools for ERP vendors, SaaS solutions and consulting teams.
Our models turn raw data into stable predictions and measurable business value — all implemented in clean, production-ready Python or R.

We build forecasting engines, revenue models, and decision-support tools — tailored for your business


For 28 years we’ve helped ERP vendors, SaaS platforms and analytics teams turn raw data into accurate predictions and smart automation.
Our strength is combining Python engineering with deep statistical expertise — delivering models that stay stable in production, scale with your business, and actually improve decision-making.

Awesome Features

Top Notch Facilities

Machine Learning & Statistical Models

Custom ML pipelines, regression models, classification, clustering, and more.

Time-Series Forecasting​

ARIMA, Prophet, ML-based forecasting for sales, demand, cash-flow or staffing.

Bayesian Modeling

Hierarchical models and uncertainty quantification for better decision-making.

Python Backend Engineering

High-performance APIs, model-serving pipelines, automation and integrations.

Churn & Customer Behavior Analysis​

Identify who is likely to leave, and why — with actionable retention insights.

Cash-Flow & Revenue Forecasting

Reliable predictions for finance teams to plan confidently.

Inventory & Supply Optimization

Demand prediction + optimal stock levels to reduce cost and avoid shortages.

Dynamic Pricing Models​

Pricing engines based on elasticity, external factors, segmentation and simulation.

Our Case Studies

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Inventory Optimization

9% Inventory Cost Reduction

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Network Influencer Detection

Identifying key communication hubs

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Cash-Flow Forecasting

15% lower forecasting error


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Anomaly Detection

Heatmap insights across demographics

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Urban Accessibility Insights

Travel-time gaps visualized on a map

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Churn & Retention Modeling

Behavior-based churn probability