Arus studies your spending behavior and the reasoning behind it, categorizes every expense automatically, and turns the pattern into a living spending plan - with suggestions grounded in your own words, not generic budgeting tips. Built by Krisnadi AI Studio in Jakarta, Indonesia.
Indonesia is one of the most consumptive digital markets in the world: e-wallets, paylater, and one-tap checkouts have made spending frictionless, while personal-finance tooling stayed shallow. Most apps record transactions and draw charts. None of them learn the person.
The missing piece was never data - it was understanding. Today's AI models can read months of transactions together with a person's own notes, detect the triggers behind consumptive habits, and reason about trade-offs the way a good financial advisor would. That capability is new. Arus is built on it.
Expenses are captured with context - what, when, and the situation around it - so Arus learns your patterns and triggers instead of just summing numbers.
A classifier labels every expense using categories that adapt to your life and your labels, improving from your corrections - no rigid bank taxonomy.
Your categorized behavior becomes a concrete plan: adaptive budgets, planned purchases, and weekly checkpoints that adjust when life changes.
You jot down why you spend and what you are saving for. Arus weighs that reasoning against the numbers and suggests the next move - citing your own goals back to you.
Log an expense and a one-line reason in seconds.
AI categorizes and detects behavior patterns over time.
A workflow turns the pattern into an adaptive spending plan.
Explainable recommendations, grounded in your notes and goals.
Financial suggestions must be safe and easy to follow. Arus is built on Claude: every recommendation is generated from the user's own transactions and notes, and is shown together with the reasoning behind it - which goal it serves, which habit it responds to. No black-box advice, ever.
Arus is in active development. We are a small, founder-led team building the core systems before any public release - no shortcuts on the parts that touch people's money and personal notes:
Launch in Indonesia: tracking, categorization, adaptive plans, and reasoning-based suggestions for individuals.
Optional e-wallet and bank connections for automatic capture, household budgets, and shared goals for families and couples.
The same behavior engine applied to micro-business cash flow - warungs, freelancers, and small sellers who run their business like a household wallet.
We believe everyone in emerging markets deserves what only the wealthy have today: a personal CFO who knows their habits and argues for their future. Our direction is to become that layer - an AI financial copilot that starts with daily spending behavior in Indonesia, earns trust one explainable suggestion at a time, and grows across Southeast Asia with the people who use it.
Krisnadi AI Studio is an independent, founder-led AI studio based in Jakarta, Indonesia, founded in 2026. We build applied AI products, and Arus is our first: a personal-finance companion for the way Indonesians actually spend. We build on Claude because careful, honest reasoning matters when the subject is someone's money - and that is exactly the kind of thinking this product needs every single day.
Arus is in active development. Join the early-access list or talk partnerships: krisnadi@krisnadindah.com