Where we work
Industry
Textiles, cement, steel, automotive, packaging and chemicals: energy, quality and throughput.
Industry
Sugar, dairy, food processing and farming: procurement integrity, yield and cold chain.
Industry
Power, gas, water and mining: losses, availability and asset performance.
Industry
Grocery, fashion and national distributors: forecasting, allocation, shrink and route cost.
Industry
Hospitals, laboratories and insurers: claims, receivables, patient flow and integration.
Industry
Banks, insurers and fintechs: document AI, fraud analytics and process automation.
Industry
Fuel retail, ports, fleets and couriers: stock integrity, planning and turnaround time.
Industry
Public programmes, cities and infrastructure operators: data integrity, monitoring and service delivery.
Not sure where your organisation fits? Start with the problem. These five come up in almost every industry we focus on.
Common ground
The sectors differ, but five problems recur in almost all of them. Each one is a measurement problem first and a technology problem second.
We are headquartered in Pakistan, our first market, and work with clients internationally, including in the GCC. Some examples on these pages refer to Pakistani mandates; the underlying problems are the same in most markets.
In plants, cold stores, pumping stations and fleets alike, energy and fuel are now a larger and less predictable share of operating cost. Few operators can see that cost by line, site or vehicle, or switch between sources based on live tariffs.
Typical range for monitoring and dispatch optimisation: 3-8% of energy spend, depending on tariff structure, generation mix and baseline.
Electricity, gas, water, fuel, cane, milk and stock go missing between measurement points. The method is the same each time: balance what goes in against what comes out, then rank where to look.
Track-and-trace stamps, e-invoicing, pharmaceutical serialisation and digital product passports all require operational data to reach a regulator or buyer, accurately and on time.
Related solutions
A defect found by the customer costs far more than one caught at the station. Cameras and process data catch problems earlier and show what caused them.
With financing costs high, excess stock and slow receivables are expensive. Better forecasts and faster claim and invoice processing release cash without new borrowing.
The same patterns appear in telecoms, construction, education, hospitality and other sectors. Tell us which process you want to improve and what it costs you today.
How we start
A short paid diagnostic: working sessions with operations, finance and IT, and a site visit where relevant. We review the data you already have, agree the baseline and the number to move, and say plainly if technology is not the answer.
One contained scope, such as a production line, a feeder group, a store cluster or a document stream. Fixed scope, a baseline and success measures agreed in writing before we start, ending in a clear go or no-go decision.
A fixed-scope rollout to further sites, teams or document types, or a retainer in which we run, monitor and improve the system with your team. You own your data, and we document the integrations we build.
Engagement models: diagnostic and paid pilot, fixed-scope project, and retainer or managed service. Pilot length depends on the data available and, for plant and network work, on site access and any hardware to install. How the models work
Describe the site, network or process and the number you want to move. We will come back with a scoped first step, the data we would need and an honest view of the likely value.