The library of explainable decisions.

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How Xplainable meets all three regulators at once

Five overlapping regulatory deadlines are converging on Australian non-bank lenders, BNPL providers and Tier-2 insurers. Here's what's changing, why your current options fall short, and what audit-ready AI actually looks like.

Xplainable Docs v2: SDK, REST API, MCP, and AI-Powered Search

Our documentation now covers the full xplainable ecosystem and is queryable by AI agents through MCP.

Explainable AI in Banking: Why Every Automated Decision Will Need a Reason by December 2026

Australian financial services face five regulatory deadlines that put a hard floor under explainable AI. Here's what the compliance calendar looks like, why your current ML stack won't pass, and what to do about it.

Why We're Going All-In on Shopify: Bringing Explainable Predictions to E-Commerce

We built Xplainable to make machine learning transparent. Now we're bringing that transparency to the merchants and agencies who need it most.

Xplainable Now Connects Directly to Shopify: Turn Your Store Data into Actionable Intelligence

Connect your Shopify store in minutes. No data exports, no engineering team, no black-box models. Just transparent, lever-ready insights from the data you already have.

What Agentic Auto-Train Actually Does (And Why It's Different)

Most AutoML tools give you a model and a score. Agentic Auto-Train gives you a model you understand, built through a process you controlled.

Always-On Data Science: From Cron Jobs to Autonomous Insights

The era of running a model once and waiting for someone to ask a question is ending. The future belongs to systems that monitor, predict, and recommend continuously, without human prompting.

Reducing Customer Churn with Explainable AI: Why Knowing Who Will Leave Isn't Enough

Move beyond black-box churn predictions. When your retention team understands why customers leave, they can take targeted action to keep them.

Building an Explainable Lead Scoring Model for SaaS: Why Your Sales Team Will Thank You

Transform your lead prioritization from guesswork to transparent, actionable insights that your sales team will actually trust and use.

Xplainable + MCP

Becoming the Analytical Brain for LLMs

Predictive Health Meets Proactive Care

How explainable AI is transforming healthcare through predictive analytics and personalized patient care

Xplainable vs SHAP: Embracing Transparency in Machine Learning

A comprehensive comparison of built-for-explainability versus surrogate model approaches

Migrating from SQL to OneLake with Trilogy Care

A case study on modernizing healthcare data infrastructure for improved analytics and scalability

10 Sept 2024read >>>

Financial Decisions using Explainable Machine Learning

Could explainable machine learning be the solution to some of the largest challenges in the financial sector?

2024 The Rise of the Fractional Data Scientist

Why businesses are embracing flexible data science expertise in the new era of AI adoption

Explainability, Interpretability and Observability in Machine Learning

Understanding the three pillars of transparent AI and why they matter for your ML deployments

Making Predictions using a Zapier Integration

Connect your ML models to thousands of apps with no-code automation and real-time predictions

xplainable's Low-Code Data Preprocessing Tool: Making Data Cleaning Faster and Easier

Streamline your data pipeline with automated preprocessing and signal smoothing capabilities

Revolutionizing Machine Learning with Explainable Algorithms: Introducing xplainable

Discover how transparent algorithms are reshaping the future of AI development and deployment

Xplainable Blog The Robo-Debt Debacle

The Urgency of Explainable Machine Learning and Transparent Algorithms

Explainable Machine Learning For GDPR Compliance

Balancing Accountability and Innovation: Navigating GDPR Compliance with Explainable Machine Learning

Unlocking The Power Of Edge AI With Xplainable Models

How Xplainable can help you with Edge AI

11 Oct 2023read >>>

Loan Risk Prediction and Prognosis

Assessing better risk management in banking with explainable machine learning

08 Oct 2023read >>>

Uncovering the Power of Explainable Machine Learning in Natural Language Processing

Discover how explainable machine learning can help you identify and filter out spam sms messages with greater transparency and understanding.

The Importance of Explainability in Machine Learning Models

Emphasising the importance of understanding and interpreting the decisions made by our artificial counterparts.

How to Leverage Xplainable and ChatGPT to Automate Business Intelligence & Optimisation

Explainable ML is more than just a window into a model's decision-making process — it's a blueprint for optimisation and business insights

Explainable AI as a Catalyst for Innovation and Creativity

Exploring the Intersection of Explainable AI and Innovative Thinking

Our Commitment to Open Source

Cultivating Collaboration, Transparency, and Innovation: Our Unwavering Commitment to Open Source

13 June 2023read >>>

Xplainable Performance Analysis

Bridging the Gap Between Complex Algorithms and Human Understanding

The Importance Of Explainable Machine Learning

Driving Tangible Outcomes While Ensuring Ethical and Fair Use Of Technology

12 Dec 2022read >>>

From Churn Prediction to Customer Retention

How to identify at-risk customers and pull the right levers to keep them

08 Nov 2022read >>>