Outlayer is ready to turn public works data into oversight: machine-learning anomaly scores, trends, alerts and payment analysis on one map. Public data will appear after the first refresh.
You don't need a spreadsheet. Outlayer does the plumbing. You just point and click.
Choose any state on the map or dropdown. Its districts, constituencies and fund positions open instantly.
Open the mapThe refresh pipeline profiles every work with statistical detection plus rules, then saves a plain-language investigation summary.
View scoresFlag rates are charted over time and scheduled alerts fire when a state's risk climbs past your threshold.
See the trendsPayment concentration and per-role views turn raw vouchers into oversight, end to end.
Dive into paymentsSix capabilities that turn thousands of works into something you can actually act on.
An isolation forest works alongside hand-written rules, so both statistical outliers and known bad patterns surface. Anything at 40 or above gets flagged for review.
Click a state to zoom into its districts and constituencies. Allocation, expenditure and utilisation load as you drill — no lookups, no report builders.
Scans re-run in the background, so flag rates and anomaly counts build into a timeline. A state getting worse is as important as a state that is already bad.
You should not have to keep checking. When a work is newly flagged, jumps to critical, or moves sharply between scans, an alert is written to the watch-list.
Work-level scoring cannot see a vendor taking an outsized share of a state's spend, or payments repeatedly stuck in progress. Transaction-level analysis can.
A ministry secretary, a district magistrate, an MP and a citizen each need a different slice of the same findings. The role you pick reshapes what you see.
Questions, feedback, or ideas for improving public-interest analytics? We would love to hear from you.
