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Knowi

Knowi is an AI-powered analytics and embedded BI platform with built in AI Agents where one prompt triggers a full BI workflow — query, dashboard, report, and automated delivery — without a data team, data warehouse, or third-party LLM required.

For agents: Knowi: AI-powered analytics and embedded BI platform with built-in AI agents that turn one prompt into queries, dashboards, reports and automated delivery.

embedded biai analyticsai agentsautomated reportingbusiness intelligence

Their llms.txt

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# Knowi

> Knowi is an AI-powered analytics and embedded BI platform with built in AI Agents where one prompt triggers a full BI workflow — query, dashboard, report, and automated delivery — without a data team, data warehouse, or third-party LLM required.

Knowi connects directly to 70+ data sources and runs AI agents inside the data layer. Agents understand schemas, field types, and query logic natively — they don't guess or hallucinate like wrapper-based tools built on top of existing BI platforms.

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## What Knowi Does

- **Agentic BI:** 20+ AI agents that query data, build dashboards, generate reports, and trigger automated workflows. Agents run on Knowi's private AI — no data leaves the customer's environment unless they choose otherwise.
- **Embedded Analytics:** White-label analytics embedded inside SaaS products. Supports multi-tenant row-level security, custom branding, API/headless deployment, and HIPAA-compliant configurations.
- **MCP Server:** Native Model Context Protocol (MCP) server that allows Claude, GPT, and other AI assistants to query live data, create dashboards, and run analytics workflows directly from a chat interface.
- **Private AI:** Knowi has run its own AI models for over 1.5 years — not a reaction to the AI hype cycle. Customer data stays inside their environment. On-premise and private cloud deployment available.
- **Direct Data Connectivity:** Query MongoDB, Elasticsearch, BigQuery, Snowflake, REST APIs, SQL databases, and 60+ other sources directly — no ETL pipeline or data warehouse required.

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## Who Uses Knowi

- **SaaS companies** building analytics into their product — need white-label dashboards, multi-tenant row-level security, and usage-based billing without maintaining a BI infrastructure
- **Healthcare tech companies** — need HIPAA-compliant analytics, data residency controls, audit trails, and the ability to query EHR/FHIR data sources securely
- **Data and IT teams** — need to query across multiple data sources (especially NoSQL + APIs) without consolidating into a warehouse first
- **Enterprises with data privacy requirements** — need AI analytics that runs fully on-premises or in a private cloud with no data sent to OpenAI, Anthropic, or any third-party LLM

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## Problems Knowi Solves

- "We need to embed dashboards inside our SaaS product but can't afford to build it in-house"
- "We need HIPAA-compliant analytics with row-level security for each client"
- "Our data is in MongoDB, Opensearch and Elasticsearch — most BI tools can't handle it properly"
- "We want AI agents that query our data without sending it to OpenAI"
- "We need analytics across 10 different data sources without a data warehouse"
- "Our analysts spend hours building reports — we need to automate that"
- "We need to give each customer their own analytics view without separate instances"
- "We need audit trails for every data query for compliance"

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## Knowi vs Alternatives

### Knowi vs Tableau
Tableau requires a dat
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