Solutions · Department
Answers from the warehouse, without the ticket queue
SentientOne lets you build an AI agent that connects to your warehouse and BI tools through MCP, so anyone can ask a question in plain English and get the SQL, the number, and the explanation behind it. Your team stops being a query queue and starts owning the model that everyone trusts.
14 days free · No credit card · Bring your own model keys
Agent blueprint
- Model
- GPT-4o, Claude, Gemini or Llama — a dropdown
- Knowledge
- Your PDFs, FAQs and crawled pages
- Tools
- Discovered from your MCP servers
- Deploy
- One script tag, or POST /v1/chat/stream
Configured in the dashboard. Live on the next request.
Why it fits
Built for Data & Analytics. Not bolted on.
The same platform every other team here runs, pointed at the material, systems and vocabulary this work already uses.
Plugs into your stack
Connect the warehouse, BI tools, and metric definitions through MCP, so the agent reads from your live data instead of a stale copy.
Trusted, not guessed
Ground the agent in your schema docs, metric definitions, and dashboards so it answers from your sources of truth and shows the SQL it ran.
Your model, your data
Switch between GPT-4o, Claude, or Gemini from the dashboard with your own keys, and self-host single-tenant when sensitive data cannot leave your walls.
The build list
What you can ship.
Each one is a single agent: grounded in your knowledge, connected to your tools over MCP, and called through one endpoint.
Browse every solutionPlain-English to SQL
Turns a question into a query against your warehouse over MCP, runs it, and returns the result with the SQL it generated.
Explains every query
Walks through what a query does, why it joined those tables, and what the columns mean, so business users can read and reuse it.
Keeps metrics consistent
Grounds answers in your defined metric logic so revenue, churn, and active users mean the same thing in every reply.
Reads dashboards aloud
Connects to your BI layer and explains what a chart is showing and which filters are applied, without pinging the data team.
Put one agent to work in Data & Analytics. This week, not next quarter.
Build it on the free trial, ground it in your own material, and judge it on a real question.
14 days free · No credit card · Cancel anytime