Trusted by Data-Driven Enterprises
From Fortune 500 leaders to fast-growing innovators, organizations rely on WisdomAI to transform raw data into real business outcomes.
Inside WisdomAI: How Context BuildsAccuracy You Can Trust
WisdomAl unites six complementary learning systems to deeply understand your business logic-building accuracy, consistency, and context you can trust across every insight.
Intelligent Semantic Layer
WisdomAl builds a living semantic layer that clarifies messy schemas, maps hidden relationships, and defines your most important metrics-automatically.
Al-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.
External 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 Al-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
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 Al 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.
