Just ask your business data a question.
Conversational analytics means asking your data a question in plain English and getting a result from your data. Loam runs SQL against your actual data and returns the result to your AI. In Loam chat, you can inspect the returned result rows.
Ask the question you have right now
Before AI, getting an answer from your data meant waiting for someone to build the right report or dashboard. Now you can ask the question directly: “Which region had the highest revenue last quarter?” or “What drove the drop in Widget C sales?” You can do this yourself, the moment the question comes up.
This is sometimes called natural language analytics or talking to your data, but the idea is the same: your data, your questions, real answers. The shift is in the interaction. Instead of “build a view to find the answer,” it's “ask the question and get the answer.”
Why your AI makes up numbers, and how grounding fixes it
Ask your AI about revenue and it might confidently say $4.2M when the real number is $3.87M. That's hallucination. Your AI made it up because it doesn't have your actual data, so it fills the gap with a plausible-sounding guess. You get an answer, but you don't know if it's right.
Loam's approach is different. With grounding, Loam runs SQL against your real data and returns the result to your AI. In Loam chat, you can inspect the returned result rows. Connected AI clients control whether the SQL itself is shown.
Asking your data vs. building dashboards
Dashboards and conversational analytics aren't rivals. One is for the metrics you watch every day; the other is for the question you have right now.
Time to answer
- Building dashboards
- Hours: build the view first
- Asking your data
- Ask as soon as your data is connected
What it takes
- Building dashboards
- Tool expertise and SQL
- Asking your data
- Plain English
Flexibility
- Building dashboards
- The views someone built ahead of time
- Asking your data
- Follow-up questions in plain English
Trust
- Building dashboards
- Built and reviewed ahead of time
- Asking your data
- Result rows are available in Loam chat
Best for
- Building dashboards
- Metrics you watch every day
- Asking your data
- The question you have right now
What to look for
You can inspect the result
In Loam chat, check the returned result rows before you rely on an answer. A connected AI client controls whether the SQL itself is shown.
It works with your data
Can you upload a CSV, Excel, or Parquet file and start asking right away? Or does it expect a full data setup before you can ask anything?
Anyone on your team can use it
Can a head of sales or founder get an answer without waiting for a specialist? Anyone on the team should be able to ask.
Bring your own AI
Use ChatGPT, Claude, Cursor, or another AI you already know. Loam grounds whichever AI you connect.
Where to go next
If you want to ask about a CSV or TSV, open the chat tool and add the file there. It sends up to the first 200 lines after the header to an AI service and asks it to cite supporting lines. You can also use text to SQL to turn a plain-English question into a query that runs on your data. To understand the idea behind it all, read how grounding stops your AI making up numbers.
Chat with a CSV or TSV
Add a CSV or TSV. The tool sends up to the first 200 lines after the header to an AI service and asks it to cite supporting lines.
Frequently asked questions
Chat with a CSV or TSV
Add a CSV or TSV. The tool sends up to the first 200 lines after the header to an AI service and asks it to cite supporting lines.