The Data Agent
for the Enterpise.
Ask Your Data Anything. 20+ AI agents handle the full analytics workflow. They sit inside the data layer, so they don't guess your schema, chart types, or queries.
You describe what you need. Agents handle the rest.
From Question to Answer. Agents Handle the BI Workflow.
You ask one question. The orchestrator figures out what's needed, picks the right agents, and chains them together.
You ask
"Create a dashboard showing email campaign metrics for Q1"
Orchestrator routes
Detects intent, selects data sources, picks the right agents. You never choose manually.
Agents execute
Knowi Agents connect to the datasource, query the data, and create dashboards
Deliver it
"Send this to Slack every Monday." Reports go to Email, Slack, Teams, or webhooks.
Guided Intelligence. Full Orchestration.
20+ specialized agents across every part of the analytics workflow. The orchestrator picks the right ones automatically.
Agent Orchestrator
Takes your input, detects intent, selects and chains agents, maintains shared context. You describe what you want. It figures out how.
Connect Datasource
Guides users through connecting new data sources via conversation.
Query Your Data
Natural language to SQL, NoSQL, or API calls. Auto-detects the right source.
Data Analyst
Answer questions using datasets and documents. Generates analysis, not just queries.
Create Dashboard
Full dashboards from a single prompt. Layout, charts, and filters selected automatically.
Create Widget
Builds individual visualizations with intelligent chart type and field mapping.
Document AI
Query PDFs, Word docs, and spreadsheets alongside live database data.
Send Report
Deliver dashboards and widgets via Email, Slack, Teams, or webhooks.
Manage Alerts
Create and configure data alerts that trigger on conditions you define.
Get Recommendations
AI-powered insights on any widget. Anomaly detection trends, pattern surfacing.
Also included
Use Knowi Inside Claude or Any MCP Client
Knowi ships as an MCP server. Full orchestrator access from any MCP-compatible AI tool. Your agents run where your team already works.
- Query any connected data source
- Create and modify dashboards
- Trigger scheduled reports
- Full agent orchestration over MCP
Own AI. No Third-Party Data Leakage.
Every other "AI-powered" BI tool is a wrapper around a third-party LLM. Your data, schemas, queries, and business context get shipped to someone else's servers.
Knowi runs its own AI for over a year. Models, inference, vector search: all on Knowi's infrastructure. No third-party LLM ever sees your queries or your results. This isn't new for us. It's new for everyone else.
Knowi AI
Built-in models and vector search. No external calls. Your data never leaves the boundary.
On-Prem Deployment
Run the full platform, all agents, and your own LLM locally. Docker and Kubernetes supported.
Multi-Model Choice
Choose Knowi AI, OpenAI, or Claude per feature. No vendor lock-in. Switch anytime.
Just Ask. Knowi Agents Handle the Rest.
Agents connect to the tools your team already uses, query the data, build the dashboards, and deliver the results.
Sales & Revenue Ops
"Show me pipeline by stage this quarter and send it to Slack every Monday."
Connect Datasource links Salesforce. Query Agent pulls pipeline data. Create Dashboard builds the view. Send Report delivers to Slack weekly.
Marketing
"Compare email campaign performance across Klaviyo and Shopify revenue."
Connect Datasource links Klaviyo + Shopify. Query Agent joins campaign data with revenue. Create Widget builds the comparison chart. Get Recommendations surfaces top performers.
Finance
"Build a monthly revenue dashboard from Stripe + QuickBooks. Alert me if MRR drops 10%."
Connect Datasource links Stripe + QuickBooks. Create Dashboard builds the revenue view. Manage Alerts sets the MRR threshold. Send Report delivers the monthly summary.
Customer Success
"Which accounts dropped usage more than 20% this month?"
Connect Datasource links product DB + Salesforce. Data Analyst calculates usage trends. Get Recommendations flags at-risk accounts. Manage Alerts triggers weekly churn warnings.
Engineering & Ops
"Show deployment frequency vs incident rate over the last 90 days."
Connect Datasource links Jira + PagerDuty. Query Agent joins deploy and incident data. Create Dashboard builds DORA metrics. Dashboard Summary generates the weekly narrative.
Executive
"Send me a weekly KPI summary to Slack every Monday at 8am."
Connect Datasource pulls from every connected source. Data Analyst compiles cross-department KPIs. Dashboard Summary writes the narrative. Send Report delivers to Slack on schedule.
Four Ways to Use Agents
Same orchestrator, same agents. Use them wherever your workflows live.
In-App
Conversational AI inside Knowi. Chat history, follow-ups, file uploads, multi-source querying.
MCP Server
Full agent orchestration from Claude or any MCP-compatible client.
Embedded / Custom
Your own copilot or app, powered by Knowi agents via API. White-label, multi-tenant.
Slack & Teams
Query data and get reports delivered directly in your channels.
Why Knowi for AI Agents
Most tools adding agents are wrapping APIs and letting the AI guess from outside. Knowi's agents live inside the data layer with direct access to schemas, field types, and the query engine. One call builds a dashboard. Not ten.
Agents Inside the Data Layer
Other tools let AI guess chart types, layouts, and queries externally. Knowi's agents have direct access to your schema, field types, and relationships. Nothing is guessed.
70+ Sources, Native NoSQL + SQL
MongoDB, Elasticsearch, Cassandra, ClickHouse, plus every SQL database. Cross-source joins without ETL or data movement. No semantic layer required.
Embeddable, White-Label Agents
Embed the AI agent widget into your SaaS product. Multi-tenant isolation, row-level security, SSO. Your customers never see Knowi.
SOC 2 Type II + HIPAA Ready
Own AI with no third-party data leakage. On-prem and hybrid deployment. Built for healthcare, finance, and government.
Frequently Asked Questions
What is agentic BI?
Agentic BI uses specialized AI agents to handle the full analytics workflow: querying data, building visualizations, creating dashboards, detecting anomalies, and delivering reports. Instead of a single chatbot, an orchestrator routes each request to the right agent.
How are Knowi's agents different from a BI chatbot?
A chatbot answers one question at a time with no memory. Knowi's orchestrator chains up to five specialized agents per request with shared context. The Query Agent writes SQL, the Dashboard Agent builds the layout, the Report Delivery Agent sends it to Slack. They work together.
What is MCP and how does Knowi use it?
MCP (Model Context Protocol) lets AI tools like Claude connect to external services. Knowi ships as an MCP server, so you can query databases, build dashboards, and trigger reports from any MCP-compatible client.
Does my data leave my environment?
No. Knowi runs its own AI: models, inference, and vector search all on Knowi's infrastructure. No third-party LLM ever sees your queries or results. For on-premise customers, the full platform runs locally via Docker or Kubernetes with your own LLM.
Can I embed agents into my own product?
Yes. The AI agent widget can be white-labeled and embedded into your SaaS product with multi-tenant isolation, row-level security, SSO, and full API control. Your customers never see Knowi branding.
What data sources do agents support?
70+ native connectors: SQL (PostgreSQL, MySQL, SQL Server, Snowflake, BigQuery, ClickHouse), NoSQL (MongoDB, Elasticsearch, Cassandra, Couchbase), REST APIs, cloud services, and documents (PDFs, Word, Excel, Google Sheets).
Do I need to build a semantic layer or data model first?
No. Knowi agents query your data sources directly. No semantic layer, no LookML, no cube definitions. Connect and ask. This is the main difference from ThoughtSpot and Looker.
The Data Agent for the Enterprise
See it in action.