Dynamically Build Knowledge Graph on your messy Siloed Data in Minutes
Siloed source systems
One Knowledge Graph
Unified by Antcluster
Why alternatives fail
BI Platforms
Tableau. Power BI. Looker.
Pre-built dashboards for pre-defined questions. Every new question is a new IT project. Two to six weeks per change. 60–70% of data requests are ad-hoc. These tools can’t touch them.
Platform Copilots
Databricks Genie. Snowflake Cortex. ThoughtSpot Spotter.
4–8 weeks of specialist configuration. Caps at 25–30 tables. Platform-locked. Breaks when schemas change.
Raw LLMs
GPT. Claude. Gemini via API.
No schema awareness. No join path intelligence. Hallucinates on complex queries. Cannot validate against production data.
Manual Semantic Layers
Hand-built metadata models.
Consultant-configured ontologies. Static artifacts that stale the day after they’re built. Every one requires a human to maintain.
Deploy where your data lives.
On-Premise
Air-gapped. No data leaves your infrastructure.
Private Cloud
AWS, Azure, GCP. Customer-managed keys. VPC peering.
Managed Cloud
Fastest time-to-value. Enterprise SLA.
Connects to everything. Replaces nothing.
Read-only. Non-invasive. No ETL. No data movement. Query at source.
Security & Compliance
Defense-in-depth — every layer interlocks. Nine controls, enforced together.
Competitive Position
The upper-right quadrant — high accuracy on complex schemas at production grade — is commercially empty. Antcluster is building here.