A small team. Serious work.
Founder-led finance automation. Built in Asia, delivered worldwide.
We build finance and compliance workflows around the tools teams already use. One workflow first. Fixed scope. Written acceptance criteria. Managed support after delivery.
How we work
Fixed scope. Written outcomes. Managed after delivery.
We start with one workflow, one owner, and acceptance criteria both parties sign off on before work begins. Then we build the control around the systems your finance team already uses.
Clear objective first
Before build starts, we agree the workflow, the control outcome, and how success will be checked.
Clear delivery responsibility
If an agreed workflow does not behave as specified, we stay with it until the agreed control works as intended.
Scope stays transparent
If a new feature or exception family appears, we separate it from the original objective so timelines and tradeoffs stay clear.
“We earn trust through the work, not the introduction.”
A founder stays close to the workflow from scoping through support. We keep scope narrow, criteria written, and delivery accountable to the control outcome.
Why this model exists
Finance and regulated operations problems are not only software problems. They depend on which exceptions should block action, what evidence matters, who owns each approval, and how the final decision can be reconstructed six months later.
We keep each engagement narrow so one workflow can be owned properly. After the first control is live, managed support keeps it working as rules, vendors, teams, and edge cases change over time.
The people
You work with founders, not account managers
Aditi Garg
Built reconciliation and payment control systems used by Goldman Sachs. Delivered operational programs for Uber and BMW. At Invaritech, she scopes every engagement and stays close to delivery.
Abhishek Agarwal
Founder of Codeacious Tech. Delivered enterprise systems across finance, retail, and regulated industries, including architecture programs tied to A$80M+ in client outcomes.
Avishek Majumder
Data engineer and applied scientist. Builds production pipelines and decision-support systems for compliance-heavy environments. Specialises in anomaly detection and predictive systems.
Start with one real finance workflow.
Book the diagnostic if you already know which workflow needs attention.