TP WarehouseNew
The data warehouse
your agents run.
TP Warehouse is a data backend controlled by agents. Perfect for when you want to bring in meticulous data structure and work with large amounts of data.
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Private, agent-run data management.
You describe what you need; agents design the tables, run the transformations, and keep everything current. The work happens in the background.
Follow any number back to its source: every table, transformation, and adjustment is recorded as it happens. When the question comes, the answer is already written.
It runs on your infrastructure, in your region. Your data never leaves your boundary.
Put your ERP data to work.
Run operational TP
Price setting, margin monitoring, and true-ups run on the warehouse all year, handled by the O-Team.
Build the documentation
From Master File to CbC, the C-Team pulls its numbers straight from the warehouse. Every report agrees with the last.
Compute Pillar Two
Pillar Two computations and returns run on the same governed rows, handled by the P2-Team.
What’s under the hood.
- Headless MCP server. Agents connect over MCP and do the data work directly. The web app is a window, not a requirement.
- Agent-designed schema. The database design, the tables, and the transformations are created and maintained by agents in the background.
- Volume-ready store. ERP data lands as it is. Millions of rows are the design case, not the stress test.
A working warehouse in a few steps.
TP Warehouse runs end to end, with minimal setup, and it pairs with any agent team. Operational TP, documentation, and Pillar Two work all run on the same warehouse.
Deploys privately in your cloud
Your own deployment, on the cloud infrastructure your organization already runs, in the region you choose.
Feed it what you have
OTP workbooks, documentation, workpapers: you hand them to your agents as they are. No pre-shaping, no templates to fill.
Agents build it for you
Tables, transformations, and every calculation in between: agents design the full data model and keep it current. You never draw a schema or write a pipeline.
Work through your agents
You work the way you already work: ask your agents, and the warehouse follows. Headless means your agents can fully operate it from your enterprise AI chat. The web app is there when you want to see every table and every step.
In the middle of your data landscape.
Source systems on one side, documents on the other, outputs on top, your agents in between. Click through what connects where.
One governed warehouse, run by agents end to end, steered from the enterprise AI chat your organization already uses.
- Every agent step on the record: sources, rules, results
- Kept current by agents, governed by you
- No new system for your team to learn
The systems your organization already runs feed the warehouse: live APIs, scheduled data feeds, or a mix.
- Every figure drills down to the source transaction
- CPM and controlling systems connect the same way
- Millions of rows are the design case
Segmented P&Ls, pricing adjustments, scenario runs. Computed by agents in the warehouse, not assembled by hand.
- Segmented P&Ls by legal entity and transaction type
- True-ups simulated before they're posted
- Ties out to your statutory accounts
It runs both ways: the warehouse fills your reports and forms, and your documents drive P&L segmentation, targets, and transaction mapping.
- From Master File to Transaction Matrix
- Documents stay where they live today
- Fetched and filed back by agents
You and your agents work in the channels you already have. Asks are picked up in place, and current communication flows into the work.
- Email or Teams
- Answers land where you asked
- Every ask and answer on the record
TP Warehouse deploys into the cloud your organization already runs, in the region you choose.
- AWS, Azure, or Google Cloud
- The warehouse and its data stay in your cloud
- Under your security and access controls
Ready to put your data to work?
Talk to us and see TP Warehouse on your own data landscape.
- See the warehouse and the audit trail on a real flow
- Determine the deployment that fits your environment
- See how our agent teams use it
Request a walkthrough
Tell us about your data landscape and what the operational cycle looks like today. We will show you what agents can run.