We build software around the way a business actually works. Our current work explores production planning, loom performance and textile costing, with clear inputs, visible assumptions and outputs people can review.
Production, planning and operations.
From shop floor to decision making.
Planning, coordination and visibility.
Reports, forecasting and scenario planning.
Built around your business, not generic software.
Our current work
Work in progress, with a clear boundary between a prototype, an illustrative demo and a system ready for daily use.
PROJECT 01
Prototype / Factory validation pending
Exploring how orders, deadlines, available looms and changeover assumptions can be brought into a reviewable production plan. Factory readiness and delivery commitments require separate validation.
PROJECT 02
Prototype / Capability verification pending
An exploration of shift comparisons, stoppage patterns and production visibility from monitoring records. The showcase describes the intended workflow; it is not connected to a factory feed.
PROJECT 03
Demo / Reference verification pending
A costing workflow around fabric construction, yarn inputs and conversion costs. Calculations and commercial outputs need verification against an approved reference before use in a quotation.
Synthetic walkthrough · no customer data
See the reasoning behind an operational visibility workflow. These invented numbers explain the idea; they are not a factory forecast, planner execution or evidence of savings.
Production Intelligence remains a provisional prototype. Factory validation is a separate step.
A fictional order needs 1,200 metres by Friday. Two sample looms have 10 productive hours each before the deadline. The example rate is 50 metres per productive hour.
Beyond our core systems, we engineer software around how a business actually operates—learning from and reasoning over your own records, capacity, physical constraints, and commitments.
Software built around a company’s actual processes rather than forcing the company into generic software. We model your exact workflows, data structures, and operational realities.
A bounded pilot around one workflow: agree sample inputs, make assumptions visible, and review one useful output before considering wider integration.
Planning, scheduling and sequencing systems for production environments. Designed to turn complex physical constraints and commitments into clear, actionable daily decisions.
All knowledge begins in remembrance.
At Rana Intelligence, we explore this proposition not as an abstract dogma, but as a practical design principle for operational software.
Generic AI tools often hallucinate or guess because they operate without institutional memory. A real business does not need generic generation; it needs to remember what has happened—its physical capacity, supplier commitments, machine states, and hard operational constraints.
When information is remembered, it can become true understanding. And when understanding is precise, it finally enables confident, repeatable action.
“Inner transformation precedes outer transformation.”
An idea we explore: before an enterprise can automate its exterior operations, it must first develop the clarity to comprehend its own internal reality.
A proposed starting point
An operational visibility pilot could turn a sample shift export into a reviewable exception summary. First agree the question, the permitted data and what a useful result looks like.
One approved sample export. No live system integration required for the first review.
A summary with source rows, missing values and visible assumptions.
Review usefulness before agreeing further scope, price or implementation.
Contact is not connected. This showcase does not collect or send inquiries.
Explore the workflows above; a verified contact route will be added separately.