Maxa on SiliconANGLE theCUBE

This episode introduces a new paradigm for enterprise analytics: conversational, contextual, and built for the real complexity of modern finance and operations.

See full video at the bottom of this page

Part 1: The Future of AI for Finance. Unified Data, Instant Auditable Answers

In this first segment, Maxa’s co-CEOs Alexis and Raphael Steinman reveal how traditional BI creates siloed “islands of visibility” across finance, sales, procurement, and operations. Even with modern data platforms, most BI tools only explain what happened inside one cube—never why it happened or how functions connect.

Maxa unifies ERP, operational, and financial data into one logic-aware model that an LLM can reason over. Users can finally talk to their data and get accurate, auditable answers backed by millions of records.

The demo shows how Maxa instantly understands the business, identifies top customers, explains negative margins, and recommends SKUs to retire—with tables, charts, and full drill-down visibility.

See full video at the bottom of this page

Part 2: Why Star Schemas Don’t Work for AI — Maxa’s 4-D Data Model Explained

Part 2 breaks down the “how” behind Maxa’s engine—its 4-D Data Model. Traditional star schemas, designed when compute and storage were scarce, force businesses to denormalize, aggregate, and lose detail. They aren’t built for modern AI reasoning.

Maxa models business context, processes, activities, and time—not just facts. This produces a unified, richly structured model that can collapse thousands of ERP tables into one time-aware foundation for accurate reasoning across perspectives.

By preserving full detail and embedding business logic directly into the model, Maxa enables LLMs to understand how the business truly works—without the compromises of traditional BI.

See full video at the bottom of this page

Part 3: The Architecture Behind Maxa — How AI Constructs a Finance-Ready Data Model

Part 3 shifts from what the 4-D model is to how it’s built. Maxa moves from BI’s “good enough” aggregates to a precise, fully detailed depiction of reality—even if that means billions of duplicated attributes. Instead of manually mapping schemas, AI receives clear business targets (financial statements, inventory snapshots, shipping data) and discovers which tables and fields support them. Foundation models are wrapped in deterministic “scaffolding” to ensure consistent, enterprise-grade results.

See full video at the bottom of this page

Part 4: Turning Data Engineers Into AI Operators — The New Modeling Workflow

Part 4 shows how Maxa blends AI reasoning with deterministic software to industrialize data modeling. AI handles the first 70–90% of work instantly; humans step in only for low-confidence areas.

Modeling becomes an assembly line: repeatable steps, quality checks, and instant iteration. AI discovers concepts, binds systems, and generates a unified 4-D business activity log—consistently and at scale.

See full video at the bottom of this page

Part 5: Harmonization, Metrics & Reasoning — How Maxa Delivers Insights BI Can’t

This segment covers harmonization, metrics, and advanced analytics. Business rules are expressed in plain English, not SQL. Metrics—from basics to complex time-aware calculations—are precomputed using today’s abundant compute.

Maxa’s 4-D event model captures activity across time, enabling process mining, anomaly detection, and behavioral insights that star schemas can’t. The LLM combines deterministic calculations with business knowledge to produce accurate, narrative answers grounded in full context.

See full video at the bottom of this page

Part 6: From Dashboards to Conversational Analytics — The Real Impact of Talking to Your Data

Part 6 moves beyond analytics. With harmonized enterprise data and reasoning models, users can talk to their data and get instant, auditable answers. Ad-hoc questions replace stale dashboards.

Maxa connects financial outcomes with operational drivers, enabling organizations to understand what’s happening—and act on it. This foundation opens the door to workflow automation and cross-silo coordination.

See full video at the bottom of this page

Part 7: The Future of Enterprise AI — Why Agents Need a 4-D Model

The final segment explores what Maxa’s 4-D model enables beyond analytics. With full operational and financial context in one system, AI agents gain the “shared map” they need to act safely and intelligently across the enterprise.

By keeping full detail and full history, Maxa allows AI to answer not just what happened, but why, what’s next, and what should be done. This foundation sets the stage for deeper automation and enterprise-wide AI adoption in the years ahead.

Full Episode: SiliconANGLE theCUBE –
Talk to Your SQL Data Done Right | The Road to Service as Software