Bucketwise Join waitlist

Stop rewriting the same credit-risk SQL

Type your table names. Get the prompt, the checks, what good looks like and how to present it.

  • 7 tools free now
  • No sign-up
  • Table names only, never customer data

What slows risk teams down

Rebuilt every month

DPD, buckets, roll rates. From scratch, again.

SELECT dpd ...

One prompt holds the logic.

AI guesses your schema

Rows multiply. DPD starts on the wrong date.

3 loans → 9 rows

Your tables and definitions go in first.

No way to check it

The code runs. Is the number right?

4.2% ← right?

Checks to run, and what good looks like.

Benchmarks that do not match

Gross NPA is not bureau 90+.

Gross NPA ≠ 90+ DPD

Source, period, page and definition shown.

Data cannot leave

No customer data in an AI tool.

customer data ×

Table names only.

From table names to a checked result

Four steps. Your data stays in your database.

1 Your tables

loan_masterrepay_schedulerepay_txn

2 The prompt

ROLE senior credit risk analyst
SCHEMA
repay_schedule(loan_id, due_dt)
repay_txn(loan_id, pay_dt)
TASK DPD and bucket per loan

3 Your AI tool

SELECT loan_id,
  GREATEST(0, asof - MIN(due_dt)) AS dpd,
  CASE WHEN dpd > 90 THEN '90+'
  WHEN dpd > 60 THEN '61-90' ...
FROM repay_schedule ...

4 Checked result

Current1-3031-6061-9090+
  • Row count reconciles
  • No negative DPD
  • 10 loans traced by hand

Set it up once. Every tool knows your tables.

Upload a CSV of your schema, or type it once. Your AI tool forgets your table layout between chats. Your profile does not.

My profile

Schedule table
repay_schedule
Payment table
repay_txn
Due date
due_dt
DPD rule
Days since oldest unpaid due date
Buckets
Current, 1-30, 31-60, 61-90, 90+
Set up my profile
  • Definition sheet
  • DPD and buckets
  • Roll rate
  • Bureau scrub
  • Rejection analysis
  • Every paid tool, when it opens

Fewer prompts, more results

No more re-explaining your tables. Every prompt starts with them.

Less time every month

Change a date, copy, paste. The set-up is already done.

Same definitions, every time

DPD, buckets and NPA rule written once, used by every tool.

No data leaves your database.

  1. NamesYou enter table and column names only
  2. You run itThe code runs on your own data
  3. Your toolUse the AI tool your institution approves

Seven tools are free

Try it: change a name, the prompt changesSample names for a DPD query.

146 more tools, in testing

Each opens only after it passes with risk teams.

Learn the basics

Plain-language guides for credit-risk analysts.

Hear when the paid tools open

Join the waitlist with your role and the tools you want. We write when they open and pick the first five teams for the delinquency pilot.

Join the waitlist

Join the waitlist

We write when the paid tools open and pick the first teams for the delinquency pilot. Work email preferred.