SOFTWARE STUDIO

Productionsystems wherebeing wrongis expensive.

Software development and AI engineering. We build custom agent infrastructure, fintech platforms, and original iGaming titles for teams who need the software to be right the first time.

MONET LABSPRE-SHIP CHECK
60/60
Harness green, three OS
368,000,000,000
Tokens processed, live estimate
97%
Input served from cache
01SELECTED WORK
01 / REGULATED LENDING
FUNDesk

A broker's submission with six funder offers read straight out of the PDFs, and the two that did not parse cleanly held back for a human.

fundesk.ai/submissions/4471
EXTRACTED, NOT TYPED
Every offer field links back to the page and line of the PDF it came from. A number nobody can trace is a number nobody should fund on.
FLAGGED, NEVER HEALED
Two offers did not parse cleanly. One factor rate was unreadable, one remit schedule contradicts the application. Both are flagged, neither is guessed.
Next.jsPostgresDrizzleClaude
READ THE CASE STUDY →
ALL WORK →
02HOW WE WORK
01

Evidence before code

The diagnosis and what confirms it, before the first edit. A fix can be right while its stated reason is false, and the wrong reason is what propagates.

02

Invariants over features

Money in integer minor units inside a transaction. Every tenant query filtered. Whoever creates a payable cannot approve it. The invariants are the product.

03

Say what red looks like

A green check that could not have failed proves nothing. The test no runner imports. The suite reporting zero failures because zero ran.

04

You own it

Your repository, your accounts, your infrastructure. No retainer to keep the lights on and no proprietary layer you cannot remove.

03TWO WAYS IN

Something is broken

A system that loses money in a way nobody can reproduce. A migration nobody will run. A workflow held together by one person's memory. We diagnose first and quote the fix, not the discovery.

  • Audit and teardown
  • Data and integration recovery
  • Correctness work on money paths

Something needs building

A product with real users, real money, and a regulator who will eventually ask. Built multi-tenant from the first migration, with the audit trail an auditor would want in six months.

  • Original games, end to end
  • AI-native SaaS and custom agents
  • Data pipelines over hostile sources
ASK MONET

Tell us what is
going wrong.

Describe it in a sentence and Monet will tell you which shape of work it is, and what a first conversation would cover. A person reads every thread.

Would rather just email? dev@monetlabs.io · Send a brief
MONETHOME

Hi, I'm Monet. Tell me what you're building or what's breaking, and I'll tell you straight whether this is something we'd take on.