Pharmaceutical operations
One record for samples, suppliers, and quotations, so a commercial team stops reconstructing the same order from inboxes.
View study→MeekaIT develops practical digital solutions, from custom business applications and mobile experiences to cloud platforms and intelligent automation.
Cloud & Infrastructure
AWS · Azure
Software Engineering
Web · Mobile · Enterprise
AI & Data
AI · Analytics · Data
Product Design
UI/UX · Design Systems
DevOps & Automation
CI/CD · Infrastructure
Digital Transformation
Strategy · Solutions
Part of the Meeka Group
MeekaIT is the technology arm of the Meeka group. We learn how a business actually works, then build software a team can keep using after the launch.
The group includes Meeka Pharmacare. That is a pharmaceutical business. It is not a claim that its history is software delivery experience.
About MeekaIT→Services
Six practices, from the first decision through a system your team can run.
Solutions
Four kinds of operational work. Each one is scoped around the problem, not sold as a ready-made product.
How we frame a solution→Projects
Representative kinds of systems. Not named client results, and not confidential screens.
One record for samples, suppliers, and quotations, so a commercial team stops reconstructing the same order from inboxes.
View study→A shared desk for pharmaceutical raw materials, APIs, and excipients sourced across time zones.
View study→Ordering and store operations for a food brand that is growing past a single counter.
View study→Why MeekaIT
The engagement is judged by the change in the work, not by how many tools appear in a proposal.
About MeekaIT→The first question is the business problem. A platform is chosen after that, not before.
The people who run the process stay in the work. The result has to be maintainable, and able to take a next release.
Launch is not the end of the engagement. Improvement stays inside an agreed scope.
Technology
Chosen for the project. Nothing is listed because it looks current.
Web, mobile, and the business systems people open every day.
AWS or Azure, with deployment and monitoring a team can explain.
Reporting, automation, and AI only where a person still checks the result.
Process
The business, the users, and the constraint, before any build.
Architecture, technology, and a roadmap the team can agree on.
Flows and screens built around the job people actually do.
Software your team can maintain, with regular check-ins.
Production first, then improvement from real use.
Tell us about the business challenge and what you want to build. We will review it and talk through the next step.