All your systems.
Auditable clarity.
Better decisions.

The Maxa 4D Business Data Model is a departure from 1990's data modeling.
It is an event/activity-based model that has 4 core components:
- Facts & Metrics (e.g. revenue figures, stock count snapshots, etc.)
- Dimensions (e.g. customers, products)
- Time (ensures that business sequences are well captured, and that you can travel to the past or to the future)
- Business and Process Context (for cohesive linkage between the different business activities and processes)

It is extremely hard to unifiy and harmonize multiple systems that contain financial and/or operational data: ERP, WMS, CRM, POS, mainframe databases, etc.  Typical mid-sized to large enterprises function with 2 to 10 systems.

Our 4D data model is designed for all financial and operational systems of record: it is easier to understand for business users and is extremely well suited for Generative AI Large Language Models. LLMs need context to reason properly, and need a mechanism to rapidly understand business processes captured in data.

Time, process and lineage become essential components of a modern, AI-ready data model.

Facts can be enriched with metrics, i.e. net-new information that is not contained in source systems and that reduces the calculation burden downstream.

All of these key components can be housed and managed simultaneously with a modern, 4D business data model that is ready to propel your company reporting, dashboarding, analytics and LLM-driven engagement.

ChatGPT and other main Large Language Models (LLMs) are good with language - text, documents, software code, etc.

They cannot handle large databases and systems of record full of numbers, rows, columns and millions of records in table format (i.e. "structured" data).

ChatGPT may be able to handle a small spreadsheet - but expect lots of errors, hallucinations and nonsense. And good luck proving anything.

In contrast, Maxa's patent-pending technology and data model augment the impressive reasoning and general business knowledge of LLMs, while Maxa performs core database calculations with trusted software tools, infused with 20 years of domain expertise.

Finally, Maxa's technology runs locked-down in your data cloud of choice: no private corporate data leaves your secure perimeter; no corporate data is used to train models.

Maxa Analyst provides step-by-step reasoning explanation, and full access to line-level records to support analysis and calculations.

Text-to-SQL tools simply translate plain language questions into the langue of databases - i.e. SQL code.

They depend on rigid schemas, they severely scale-down the reasoning and general knowledge capabilities of LLMs, and typically rely on burdensome semantic layers or hard-coded business logic.

Because of this, they struggle with cross-functional analysis and require constant IT involvement to maintain or adjust queries.

Importantly, with text-to-SQL, database calculations are performed by AI - by writing SQL code - making it prone to errors and hallucinations, and making it hard to prove any answer for business users who cannot inspect SQL code.

Text-to-SQL tools also ignore the hundreds, if not thousands of hours required to unify and harmonize multiple systems of record when done the traditional way. This is typically required before even dabbling with AI semantic layers, semantic models, special instructions, and everything needed to make text-to-SQL tools function. These structures are also very burdensome to maintain.

In contrast, Maxa addresses head-on the fast unification and harmonization of data into an AI-ready, 4D business data model. No need to build anything on top.

Maxa understands accounting hierarchies, business relationships, and process flow within its 4D data model, enabling Finance and Operations teams to explore, drill down, and reason across data freely without technical dependency.

Maxa connects to virtually any data source, beyond accounting and finance systems.

It can ingest databases, Excel files, flat files, and even third-party data such as market feeds or web data.

If it produces structured or semi-structured data, Maxa can unify and harmonize it within your 4D data model.

Yes. Maxa integrates seamlessly with your existing tools. Power BI, Tableau, and Excel can all connect directly to Maxa’s harmonized data foundation, allowing teams to keep their preferred tools while working from one consistent source of truth.

Most deployments are operational within 6 to 8 weeks.

Maxa is built natively on Snowflake, inheriting its enterprise-grade encryption, access controls, and compliance certifications.

Your data stays within your Snowflake environment, ensuring full control, governance, and security.

Maxa can unify and harmonize data from any source, enabling every department to leverage it.

Whether it’s Marketing Operations, Supply Chain, HR, or IT, teams can ask questions, automate reports, and surface insights with the same level of accuracy and auditability.

Finance may lead the transformation, but every team benefits from a shared data foundation.