GraphPolaris is Business Intelligence, built on graph technology. It makes multi-hop relationships visible, explorable, and trustworthy.
Power BI, Tableau, and Qlik genuinely work. Slice, filter, drill down, pivot. Their competence is real but it is shallow. The original premise of rapid hypothesis-experiment cycles by business analysts has resulted mostly in reporting engines.
When the question requires depth; following connections across suppliers, products, orders, regulations, people; SQL collapses. The exploratory cycle breaks. The analyst submits a request to the data science team and waits days or weeks for their answers.
Large language models hallucinate plausible text. They do not trace a path from supplier to component to product to order. Generative AI cannot give you an exact and repeatable answer. They give you a confident story that is wrong more than 30% of the time.
Named after the same Polaris paper that started the BI revolution, GraphPolaris delivers the exploratory vision that BI never completed. Same iterative loop: model your data, query it, visualize the result, refine your question. But built on graph technology instead of SQL.
Where SQL breaks at multi-hop relationships, GraphPolaris handles them natively. Where AI generates stories about your data, GraphPolaris lets you trace the actual answer through the actual data, step by step.
Make multi-hop relationships visible. Trace impact across your entire network. Follow connections that span dozens of entity types. See the full picture, not the flattened summary.
Every query is deterministic, inspectable, and repeatable. The analyst sees exactly which data, which connections, which paths produced the answer. No hallucinations. No black boxes.
You don't need a graph database. Bring your SQL tables, CSV files, or warehouse connections. Build a schema visually. Start exploring connected data in your first session.
These patterns show up in every industry. The specifics change. The underlying challenge does not.
Tracing impact through the network
Something changes at one point in your network. A supplier goes bankrupt. A tariff shifts. A regulation changes. What is the impact on everything downstream?
Today, your team zooms into a local subset and finds a local fix. They miss the systemic impact. Each crisis starts from scratch.
With GraphPolaris, start from any trigger point and trace the cascade across your full network in real time.
From instance to pattern
Your analyst finds one suspicious case. A transaction. A quality anomaly. A structural outlier. The question: is this one case, or an instance of a pattern hiding in the network?
Today, investigating a single case takes hours. When 90% of exploration paths are dead ends and each costs hours, investigations stop prematurely.
With GraphPolaris, dead ends become visible in seconds. Explore ten times more hypotheses in the same time.
Understanding complex data structures
Your organization builds or adopts complex data models: knowledge graphs, metadata schemas, AI-generated ontologies. They grow large and opaque. The people responsible for them cannot tell whether the model correctly represents their domain.
With GraphPolaris, open the black box. Walk through the data structure step by step. You cannot govern what you cannot see.
No Cypher. No SPARQL. No scripting. No graph database required. No data science queue.
Connect your SQL databases, CSV files, Databricks, or existing graph databases. No data migration. No IT project. Your data stays where it is.
Visually define the relationships between your entities. Drag, connect, adjust. The schema is experimental, iterative, disposable. Build one for tariff impact today, another for supplier concentration tomorrow.
Query your connected data through drag-and-drop. Visualize relationships. Follow connections across any number of hops. Refine your question as you learn. Every result is traceable, every query repeatable.
Your dashboards, reports, and KPI tracking stay exactly where they are. GraphPolaris handles the questions that live beyond what those tools can do.
GraphPolaris lets your people trace the answer through the actual data, step by step. Every exploration produces an inspectable, repeatable, auditable query.
Your analysts work with a visual canvas. No Cypher, no SPARQL, no scripting. The people who understand the business problem explore it directly.
See what your BI tools hide. Verify what AI gets wrong. Trace the connections that drive your business.