AI Data Platform
From your systems to finished work, with nothing in between.
Teramot connects to your systems and delivers the finished report, as a dashboard, a video or a presentation. No one has to export, clean or move data along the way.
Finance and FP&A teams already using Teramot
It organizes your data, gives it business logic and gets it ready for your AI.
It is not a chat for asking your data one-off questions. It is how you automate, with AI, the complex reports that are built by hand today, and keep them in your company.
Organizes your data
It connects straight to SAP and other ERPs, Salesforce, SQL databases, your data warehouse and Excel. 50+ agents unify, clean and document every table.
Gives it business logic
How a line item is booked, which account is the source of truth, when the fiscal year closes. It is written down, with a change history, and updated every day.
Gets it ready for your AI
On organized data, the AI you already use builds analyses, board reports and dashboards that stay in production and update themselves.
Works on top of what you already have
See all integrations →Your data, without going through IT, in the AI you already use.
Connect Claude, ChatGPT, Gemini or Copilot to the Teramot layer through MCP. Your team builds reports by describing what it needs, without learning a new tool or knowing SQL.
- Every number shows which data and which calculation it comes from.
- Each person only sees what their role allows.
- Reports stay built in your company, not in a conversation.
Also GitHub Copilot, Microsoft 365 Copilot, Cursor or your own model.
ClaudeConnected to Teramot · MCPReal technology, real results.
What used to take months of project work happens in hours, on your real data, with a result that does not change depending on who looks at it.
Connected in hours, organized in days
No migrations and no months-long IT project. Timing depends on access, sources and the logic to validate.
Nothing is a black box
Every table, metric and dashboard shows its source data and the calculation behind it.
Always the same number
Each validated structure runs as a fixed process, and monthly checks warn you if something stops holding.
No new tools, no SQL
Reports are built by describing what the business needs, from the AI the team already knows.
Patented multi-agent technology
50+ specialized agents, designed to organize real, complex databases.
What changes when your reports are automated with AI.
Before
- ✕DataScattered across ERP, CRM and spreadsheets.
- ✕ReportsBuilt by hand every month.
- ✕DashboardsA project with IT and weeks of waiting.
- ✕Follow-upSomeone checks when they remember.
- ✕Trust“Where did this come from?”
- ✕ITThe bottleneck of the business.
With Teramot
- ✓DataAn organized layer with business logic, built and maintained by Teramot.
- ✓ReportsAutomated processes that update every day.
- ✓DashboardsBuilt on organized data and published in hours.
- ✓Follow-upAutomated alerts, checks and monthly report.
- ✓TrustVisible logic, shared definitions and a monthly verdict.
- ✓ITGoverns and enables; the business serves itself.
Cases that are already running.
Finance, operations and leadership teams that stopped building reports by hand.
Supplier payment terms
A report that management control built by pulling ERP data into Excel became a table that updates every day and a published dashboard, in one meeting.
Board report
The CFO starts from the previous report and AI builds the next one with updated data, in hours.
Margins and EBITDA by unit
SAP data and spreadsheets unified to analyze margins and allocate marketing costs.
Stock replenishment
A daily process compares the sales forecast against stock and sends the replenishment orders by email.
The golden minute
Before every visit, the sales rep gets what they need to know about the customer on WhatsApp.
In their words · verbatim quotes, we only changed the names
“Nobody gives me this. Well, now you'll have it.” Their management dashboard, replicated in one day.National bank · Insurance sales management
“Hunting for KPIs by hand is not what adds value to a person.”Meat processing company · Finance Manager
“It puts it in plain language. We feel this would shorten the road a lot.”Agribusiness · Data lead
“Who's joining me three hours a day so we can turn all of this around?”Industrial and agro group · Finance
Three areas are already live: cash registers, bank reconciliations and health insurers.Pharmacy chain · Administration
A double join was inflating premiums and commissions in the old BI. The model caught it on its own.National bank · Insurance sales management
In the press
Pick a process and watch it run.
Agent activity
Consolidated P&L · August 2026
In progressMargin by SKU · Wholesale channel · July 2026
- Net sales of $429M, 4.1% above July, driven by the online channel.
- Gross margin drops 0.6 pp: explained by Canned goods 1 kg, due to higher packaging costs.
- EBITDA of $65M, 5.6% above budget.
- Every figure with its source and formula, audit-ready.
Built to pass IT's security review.
Your data stays yours and AI never connects directly to your databases. And every number knows where it comes from: tap a P&L line to see its origin.

AI never connects to your databases: it works on a governed copy.
Per-person roles, per-dashboard visibility, projects to separate sensitive information, and audit logs.
SOC 2 Type 1 and Type 2. Data on AWS (US East 1), connected through a VPN or dedicated tunnels.
Use the AI your company already pays for, or your own model. People who only view dashboards do not consume AI.
Before you book the demo.
Roles, permissions, audit and certifications, in the Trust Center.
Go to the Trust Center →Together with your team, we pick a report built by hand today and show you what it looks like automated.
A two-month pilot on a critical analysis is enough to measure the return before scaling.
Security review with IT, connection to your systems and organizing the data with its business logic.
We pick the reports that take the most time and turn them into metrics and dashboards that update themselves.
We add alerts, checks and workflows, with support from our customer success team.
Teramot, the best way to work with data.