The close stopped being an event. The finance team got the week back, reports land on time, and the risk of human error dropped out of the equation.
FINANCE · OPERATIONS
The companies we've built systems for that still run in production today.
Three deep case studies and six more clients in the strip. Every system here went live, still runs, and stayed on the client's side. No forgotten pilots, no invented metrics: what you see is what got built.
FINANCIAL REPORTS · BPS SOLUTIONS
PROCESS TIMES · SANITO GOURMET
CATALOG MATCHING · LANS
COMPANIES IN 4 INDUSTRIES · 2024–2026
The financial close went from three days of manual work to twenty minutes of pipeline running on its own.
The finance team burned three days a cycle pulling reports by hand: download exports, reconcile across systems, validate lines, format, send. Every close was a human sprint and every error cost another round.
Pipelines that consolidate, reconcile, and deliver the financial reports without human intervention. Data sources connect once, reconciliation rules live in code, and the final report generates and ships on schedule.
The close stopped being an event. The finance team got the week back, reports land on time, and the risk of human error dropped out of the equation.
FINANCE · OPERATIONS
Five disconnected tools replaced by one ERP built around how Sanito's operation actually runs.
Production, inventory, sales, logistics, and finance lived in five separate systems. The numbers didn't line up between them, hand-offs happened by hand, and every decision waited for someone to assemble an Excel from three tabs.
A custom ERP that unifies production, inventory, sales, logistics, and finance into one system. Modules talk to each other, manual workflows live inside the software, and the team operates against a single source of truth.
Five tools out. One system in. Operational process times dropped 40% and the operation now runs on data that no longer needs to be reconciled every morning.
FOOD OPERATIONS
App that takes the client's quote in Excel, vectorizes the items, and matches them against the internal catalog. No manual mapping, no rule tree.
Every B2B client sent their quote in Excel with their own naming, their own SKUs, their own abbreviations. The commercial team spent hours mapping line by line against the internal catalog before they could even quote.
An app that ingests the client's Excel, vectorizes each item, and semantically matches it against the internal catalog. The system returns the matching product ready to quote. Without anyone touching a spreadsheet.
Catalog matching stopped being human work. The commercial team moves from incoming quote to response in minutes instead of hours, working off a catalog that no longer depends on what the client calls things.
B2B DISTRIBUTION
These are the names we've worked with. Three as deep case studies above, the rest on smaller-scope projects. No logo theater: each one had work of ours running in their operation.
The work above exists because we turn down the work below. If this is what you're looking for, we're not the right partner and we'll tell you on the first call.
We don't deliver PDFs full of buzzword frameworks and an 18-month roadmap. If the work doesn't reach production, it isn't our work.
We don't build POCs that live on a forgotten branch. Every thing we touch has a production date and an operator on the client's side who takes it home.
We don't promise a percentage we can't back with real data. If a number doesn't exist in the system, it doesn't show up on this page.
If your operation is the next one on this page, the first move is a call with one of the founders.