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WisdomAI

WisdomAI is the Agentic Intelligence Platform that grounds every chat, dashboard, and agent in your business context, delivering trusted, accurate, proactive insights across enterprise data. The Adaptive Context Engine builds and governs that context, then applies it across conversational Chat, AI-Generated Dashboards, Autonomous Analytics Agents, and MCP-connected agents like Claude, ChatGPT, or internal copilots.

For agents: Agentic intelligence platform for enterprise data: conversational BI, AI dashboards, analytics agents and MCP-connected agents.

conversational bienterprise ai analyticsai dashboardsmcp agentssemantic context

Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-21T16:30:48.835Z. Cached copy · Source on wisdom.ai

# WisdomAI

> WisdomAI is the Agentic Intelligence Platform that grounds every chat, dashboard, and agent in your business context, delivering trusted, accurate, proactive insights across enterprise data. The Adaptive Context Engine builds and governs that context, then applies it across conversational Chat, AI-Generated Dashboards, Autonomous Analytics Agents, and MCP-connected agents like Claude, ChatGPT, or internal copilots.

WisdomAI connects to structured and unstructured data — warehouses, databases, documents, CRMs, and business tools — without movement, letting anyone ask business questions in plain English. Every answer is explainable: WisdomAI Chat shows the tables, columns, and SQL or retrieval logic behind the result, and flags what's missing rather than guessing. Autonomous agents monitor metrics, investigate anomalies, and take action (create tickets, trigger APIs, notify teams) instead of just alerting on thresholds.

The Adaptive Context Engine (ACE) is the layer that makes this accurate: it bootstraps business context from day one, ingests unstructured sources (docs, PDFs, Slack, Jira, wikis), auto-syncs with GitHub, dbt, Snowflake, BigQuery, Databricks, Salesforce, HubSpot, and any MCP server. Through the Context Development Lifecycle, the Adaptive Context Engine continuously learns from queries, corrections, and usage. Because it is MCP-native, context can be exposed through APIs and MCP-compatible interfaces so external agents and copilots can consume enterprise context directly.

Supported data sources include Snowflake, Databricks, Google BigQuery, Amazon Redshift, Oracle, Microsoft SQL Server, Azure Synapse, ClickHouse, Teradata, Trino, Amazon S3, Google Cloud Storage, Azure Blob Storage, SharePoint, CSVs, PDFs, Office documents, and images. Security and governance: row- and column-level security inherited from the source system, SSO/SCIM, SOC 2 Type II, HIPAA, GDPR, and SaaS or VPC deployment. WisdomAI can be embedded into other products via iFrame, React SDK, or GraphQL API, white-labeled, with multi-tenant isolation enforced at the query layer.

## Product

- [Chat](https://www.wisdom.ai/product/chat): Conversational BI — ask enterprise data questions in plain English and get explainable answers with visible SQL and traceable logic.
- [Context](https://www.wisdom.ai/product/context): The Adaptive Context Engine (ACE) — builds, governs, and continuously learns the business, semantic, governance, and operational context that keeps agents accurate.
- [AI Dashboards](https://www.wisdom.ai/product/ai-dashboards): Generate live dashboards from natural language, with infinite drill-down and AI-written summaries of what changed and why.
- [Agents](https://www.wisdom.ai/product/agents): Build agentic workflows — visually or from a prompt — that query data, reason over it, and take action: create tickets, trigger APIs, notify teams.
- [Embed](https://www.wisdom.ai/product/embed): Embed WisdomAI chat, dashboards, and agents into y
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