From the first order
to the bigger picture.

Restaurant service, kitchen operations, inventory and financial visibility, with AI inside the operator’s workflow.

All work

Keystonne OS — Product captures use a fictional sample kitchen and illustrative data. Figures shown are not customer results.

Keystonne OS point-of-sale interface, showing an illustrative menu and unplaced sample order. — Product captures use a fictional sample kitchen and illustrative data. Figures shown are not customer results.

Client: Keystonne OS
Sector: Hospitality & restaurant operations
Focus: Product engineering

The context

Start with the way
the business works.

An order is only the beginning. Restaurant operators also need to coordinate the kitchen, understand ingredient use and see how menu decisions affect profitability—all while service continues.

Keystonne OS brings point of sale, kitchen workflows, inventory and owner reporting into a connected application. Embedded AI can help propose a dish plan or price change, with the operator reviewing the proposal before it changes the business.

A closer look

Inside the system.

An interface built around service.

The point-of-sale workspace supports menu selection, modifiers, orders and billing, with kitchen views for the next stage of service. English and Hindi are first-class product languages, extending the same workflow across the people who use it.

Follow the dish beyond the ticket.

Recipes connect ingredients with the menu. Profitability reporting brings popularity and contribution margin into view, distinguishing recipe-backed costs from estimates so an operator can understand the basis of a recommendation.

AI proposes. The operator decides.

AI tools can prepare proposals such as new dish plans and price changes. They enter an approval inbox; a proposal itself does not change business records. Once approved, it follows the application’s existing business workflow.

The owner’s view

A wider view
of the day.

Keystonne OS owner dashboard showing illustrative sales activity for a fictional sample kitchen. — Native product capture. Fictional sample kitchen; figures are illustrative.

Keystonne OS expo view with sample kitchen tickets that are ready for handoff. — Native kitchen handoff capture. Fictional sample tickets; timings are illustrative.

The design principle

Intelligence belongs in the workflow.

Useful AI has context, a defined responsibility and a clear next step. Here, the recommendation and the operator’s decision belong in the same system.

Explore Keystonne OS

Next / BAT GTR

From demand signals to planning decisions.

Next / Your business, reimagined

Build the next
version of your business.

Tell us what you need to build or improve. We’ll discuss the scope, the systems involved and a practical next step.

Discuss your project

From the first orderto the bigger picture.

Start with the waythe business works.