Startups
Four tools.
One workspace.
Assets, books, payroll and an AI that actually knows your numbers. One bill, one login, one source of truth.
The stack
The subscriptions you quietly cancel.
Most of what an early company pays for is four products describing the same twelve facts to each other.
All of it becomes
$49
per month, all in.
Intelligence
An AI that can see the ledger.
Not a chat window bolted on the side. Agents with budgets and permissions that read your live workspace, cite the rows they used, and act only where you allow it.
1
workspace the AI and your team both read
4
tools folded into it
0
exports needed to answer a question
Foundations
Boring things, done properly, early.
Real double-entry from day one, so the year-end week is an afternoon instead of a reconstruction project.
Double-entry books
A real general ledger, not a categorised bank feed.
Asset register
Laptops tagged and depreciated on schedule.
Invoices
Raise, send, chase and reconcile in one place.
Payroll
Runs post themselves into the ledger.
Canvas
Plan and write beside the numbers, not in another tab.
Audit trail
Every change attributed, nothing silently edited.
“Reconstructing eighteen months of bank and Stripe at year end is the worst week of the year.”
Every founder who waited
Questions
Fair objections.
We are pre-revenue. Why books?
Because starting a real ledger costs an hour now and saves a fortnight later, and investors ask for numbers with no warning.
Why not just use a chatbot?
A generic chatbot cannot see your data. Ours queries your live workspace, shows the rows behind the answer, and needs permission to change anything.
We are six people. Overkill?
Four tools at six people is the overkill. One tool that still fits at Series A is not.
What if we outgrow it?
The same workspace carries roles, approvals, multi-entity books and white-labelling when you need them.