Log a plate of biryani into most calorie trackers and you’ll get a shrug dressed up as a number – a generic “rice dish” estimate that can be off by hundreds of calories. These apps were built around Western packaged food and barcode scanning. The moment your plate doesn’t come with a barcode, they guess. You guess. Your goals never get fulfilled.

Kalorist’s food engine was built from the ground up to understand how regional meals are actually cooked, portioned, and eaten:

Kalorist’s food engine has already processed over 4,000 restaurants across Pakistan alone, with more regions being added continuously. Every restaurant we process makes the underlying food engine smarter – it’s not a static database, it’s a learning system that gets better at recognizing dish patterns over time.

Search by restaurant name or dish name right inside Kalorist and see the nutrition breakdown before you order – not after you’ve already eaten and are trying to reconstruct what was in it.

This isn’t a static database that goes stale. Kalorist’s engine keeps learning new dish patterns as more restaurants and regions get processed – which means the app gets more accurate for you the more it grows, not less.