Fall 2026

Definite

Build everyday back-office agents on one live model of your books

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What they do

one live model of your books, so finance teams build back-office agents

How close to us

3, close

Live finance data model other agents read; read-only and builds on top. Company brain for finance.

Wedges

  • W7 Find and fix margin leaks adjacent
L1 Company brain (knows the organisation) 2, clear
L2 Agent team (runs agents, tools, approvals) 1, light
L3 Does and learns (finishes, checks, measures, updates the brain) 1, light

Who buys

Firm size
sme
Buyer type
business
Role
finance team lead
UK
not known
Their own description (from YC)

Definite is where finance teams build everyday back-office agents on one live model of their books. We plug into your ERP, ledger, payroll, and payments read-only and compile everything into one clean model that stays current as money moves. Your back-office team then builds agents on top in plain English. We never write back and we never move money. The agents are yours, the plumbing is ours.

We met in first year computer science at Waterloo and interned at Meta, Optiver, and BitGo. At Optiver they ran an n8n hackathon and the interns automated basically nothing. It couldn't talk to the systems that mattered. When we pitched banks and fintechs on agents, they kept telling us the same thing. The agent isn't the hard part, getting clean data out of their systems is.

Right now, automating anything in a back office means engineers hand-stitching data from a dozen sources in different formats on different schedules. Tools like n8n and Workato assume your data is already clean and joined. In finance it never is. So the teams with the most repetitive work and smallest budgets get nothing.

The hard part is the compiler. Every source gets cleaned, matched, and joined into one live model of transactions, invoices, vendors, and payments, and it has to stay right as money lands every day.

Everyone throws engineers at this. We're doing it once so nobody has to again. Every back office is getting agents eventually. Whoever owns the data they read from owns the thing all of them depend on, and eventually the books themselves. That's what we're building.

Full teardown

No full teardown yet. On the deep list.

Technical detail
Slug
definite
Lens hash
179096c479
Pass
screen
Stale
no