Augmented reality (AR)
Digital information placed over the real world, through a phone camera or headset. Three projects in delivery with bKash.
See AR in our MarTech work →What we work with
The technologies we build and run for our clients, and the tools behind each one. Every area starts from a business problem, not from a product we want to sell.
The systems themselves, and the links between them.
Web and back-end systems built from requirement analysis through to production.
Android, iOS and cross-platform apps, with local storage and sync for unreliable networks.
Connects new software to the ERP, registers and platforms an organisation already runs.
Approval routing, scheduled jobs and event-driven steps that run without manual hand-offs.
Turning what the system collects into decisions.
Dashboards, scheduled reports and self-serve analysis built on governed, reconciled data.
Machine learning, computer vision and LLM assistants grounded in your own data, with agents limited by controls you set.
Where systems run, and the devices that feed them.
Hosting, scaling, deployment and monitoring on public cloud or on-premise servers.
Sensors, devices and NFC cards report into one platform, with live monitoring, alerts and card read and write.
Making sure your team can run it.
Training that lets your team run the systems we build, long after handover.
Emerging technology
Digital information placed over the real world, through a phone camera or headset. Three projects in delivery with bKash.
See AR in our MarTech work →AI agents that answer questions from your data and act within controls your team sets. Read only by default, with a record of every answer.
Read more about AI solutions →Questions
Custom software development, automation, system integration, mobile and cross-platform applications, AI solutions, business intelligence, cloud computing, IoT and NFC integration, and capacity building. We are also developing augmented reality and agentic AI with clients.
Yes. Most projects connect new capability to the ERP, registers and platforms an organisation already runs, so data is entered once and reaches every system that needs it.
We start from the business goal and the conditions your users work in, such as the devices they carry and the connections they have, then pick tools that fit. We say so when a technology, including AI, is not the right answer.
Next step
Describe the problem in a few lines. We agree a short call before we propose anything.