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Turn Messy Warehouse Data Into Trusted Intelligence

WisdomAI turns messy warehouse data into a living semantic layer that speaks your business language—no modeling, no guesswork, just consistent logic from day one.

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Under the Hood: Six Reinforcing Engines

WisdomAI deeply understands your data.

Our system combines five complementary learning mechanisms to build a complete picture of your business logic, relationships, and context.

Intelligent Semantic Layer

WisdomAI builds a living semantic layer that clarifies messy schemas, maps hidden relationships, and defines your most important metrics—automatically.

AI-powered relationship mapping

Infers joins and connections even without foreign keys or documentation.

Plain-language structure and logic

Generates human-readable names and descriptions for every table, column, and metric.

Consistent, business-ready metrics

Extracts and standardizes critical KPIs like revenue, churn, and active users.

External Knowledge Integration

Ingests your team’s existing definitions, documentation, and models to enrich and align the data layer with how your business actually works.

Unstructured content ingestion

Upload PDFs, Confluence pages, and markdown files to embed business definitions.

External semantic layer integration

Imports DBT models and macros to understand and incorporate your transformation logic.

Query log analysis

Learns from historical queries to capture real-world usage patterns and embedded logic.

Continuous Learning from Usage

Improves automatically over time by learning from user behavior, feedback, and natural language interactions.

Feedback-driven understanding

Incorporates user clarifications and corrections expressed in natural language.

Session pattern learning

Analyzes how users explore data and which metric combinations are frequently used.

NL → SQL refinement

Learns from natural language to SQL pairs to improve future queries and intent detection.

Data Guardrails

Keeps AI-powered insights aligned, interpretable, and safely within business constraints.

Explainability

Surfaces the logic behind every answer—so teams can trust how metrics were calculated and where data came from.

Topic Drift Detection

Flags when user queries veer off-topic or outside the bounds of known business logic.

Safe Mode

Automatically disables risky inferences or joins when confidence is low, ensuring stability and trust.

Enterprise-Grade Governance

Delivers enterprise-grade access control, identity integration, and secure connectivity—built into every layer of the platform.

Access control at every level

Applies row-level and role-based security to control access by user and data type.

Federated identity support

Integrates with SSO, SCIM, Okta, Azure AD, and other identity providers.

Secure enterprise connectivity

Connects safely to MCP servers, VPCs, and private cloud environments.

Cross Platform

Works seamlessly across your data stack—no matter the dialect, engine, or source.

Multi-dialect support

Understands and executes queries across 10+ SQL dialects and custom text interfaces.

Distributed query planning

Uses an AI agent to break down complex questions and route subqueries to the right systems.

Unified results layer

Joins outputs from multiple platforms into one coherent, trusted answer.

Ready to watch WisdomAI learn your business?

Connect Snowflake, BigQuery, Databricks, or Postgres in under two minutes and see the semantic layer build itself—no tickets, no guesswork.

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