Step 01
Add your data
Upload your files.
Your business data, ready for your AI
The database for Claude.
Add your CSV, Excel, Parquet, TSV, or JSON files to Loam, then connect Claude to the business data its Loam account can access. Answers are grounded in your real rows, not a guess.
See how it workssales-q3.csv
1,204 rows
ProductRevenueQuarterTeam plan$1.42MQ3Individual Pro$1.08MQ3Individual Free$0.71MQ3
What was Q3 revenue, and which product led growth?
Grounded answer
$3.87M
Q3 revenue, up 12% from Q2
Calculated from 1,204 source rows
Example workflow using a sales export
Built for Claude. MCP-compatible.
ClaudeChatGPTCursorYour own supported tools
Supported data connections
Bring supported sources into Loam.
Check what each connection supports, what you need to get started, and how its data refreshes.
Explore supported data connections
Instagram Insights
The missing piece
Give Claude the data behind your business.
Loam stores supported files and connected business data in one place your authorized AI can query. Each allowed request uses the Loam account's current access, and grounding turns a plausible answer into a calculation from the real rows.
Without your data
“What was Q3 revenue?”
$4.2M
A plausible guess. There are no source rows to check, so you cannot tell where it came from.
Grounded in Loam
“What was Q3 revenue?”
$3.87M
Calculated from 1,204 orders. You can inspect the rows behind the answer.
Grounding gives your AI the facts it needs at the moment you ask. See why grounding works.
From file to fact
Add data, connect, and ask.
Step 02
Connect your AI
Use https://www.loamdata.com/mcp as a custom connector.
Step 03
Ask questions
Ask your AI about your data.
Start with the files you already have
CSVXLSXXLSExcelParquetTSVJSON
Real questions, real rows
Ask the questions you already care about.
Loam gives people across your business a direct path to the numbers, without changing the AI tools they like to use.
Head of sales
“How much pipeline is at risk this month?”
Ground the answer in your latest CRM export, then check the accounts and stages behind it.
Founder
“Which products drove revenue growth?”
Compare the real sales rows by product and period instead of working from a pasted snapshot.
Marketing lead
“Which campaigns brought in customers?”
Bring campaign and sales exports together, then inspect the rows behind the result.
Easy for your team. Clear for your security review.
Choose the Loam account that authorizes Claude. Loam checks every allowed query against that account's current access.
Connected-account access
Every query uses the access of the Loam account that authorizes the connection.
Access on every query
Table-data access is checked when the request runs, not only when the account connects.
Inspect the result
In Loam chat, you can review the returned rows before you use an answer.
Add more when ready
Begin with one file and one AI tool. You choose when to connect more.
Frequently asked questions
Give Claude a database built from your business data.
Add your first supported file, authorize the Loam account your AI should use, and ground the next answer in your real rows.