Please describe your company, your role, and the industry you operate in.
Karakoram Software House is a Pharmaceuticals & Biotechnology business headquartered in Karachi, Pakistan. As Co-Founder & CTO I'm responsible for the whole technology agenda — infrastructure, product, and how we pick vendors. Every decision we make on the technology side has to tie back to a clear business case before it gets approved.
What specific problem or business challenge led you to hire this company?
A competitor move forced our hand and compressed a roadmap item we'd planned for the following year. The AI & Machine Learning investment we'd scheduled twelve months out suddenly needed to happen in six, and building it internally in that window wasn't realistic.
What services did the company provide for your project?
The scope ran the full AI & Machine Learning lifecycle — discovery, requirements, architecture, development across roughly a dozen sprints, integration testing, performance validation, deployment, and a four-week hypercare window afterward. They also handed over full documentation and ran a knowledge transfer session for our internal team.
Why did you choose this company over other providers you considered?
The questions they asked during the briefing stage told us most of what we needed to know. Vendors who ask sharp questions during sales tend to bring that same rigor into delivery, and that held up. The technical proposal had real substance, the team was senior from the start, and the pricing was straightforward.
How clearly did the company understand your requirements and business goals?
Really well, partly because they already had Pharmaceuticals & Biotechnology experience that cut down on the amount of context we had to provide. They knew the terminology, asked the right questions, and translated our business requirements into technical specs accurately enough that development barely needed any clarification cycles.
How was your overall experience with their communication and project management?
The most structured project management I've dealt with from any outside vendor. Sprint planning was tight, acceptance criteria were specific, and retrospectives actually led to changes rather than just being a box to tick. The backlog and risk register were both treated as live tools, not paperwork. I never once had to chase a status update.
Did the company deliver the project on time and within your expected budget?
Yes to both. I'd quietly built in some contingency given the complexity and the number of integrations involved, and none of it ended up being needed. Delivery landed on the agreed date and the final invoice was within a rounding error of the approved budget — rarer than most people in this industry would admit.
What tangible results or business impact have you seen since the project was completed?
The ROI model we took to the board was deliberately conservative. Current performance against that model puts us on track to hit payback well ahead of the eighteen-month target we set. The operational efficiency gains in particular have outpaced the model, partly because the new platform's data quality supports decisions the old system simply couldn't.
What did you like most about working with this company?
What they did after launch. A lot of vendors treat go-live as the finish line. This team treated it as the start of a different phase — the hypercare period was substantial, the documentation held up in practice, and they checked back in at the thirty and ninety day marks to go over production metrics with us unprompted.
Would you recommend this company to others, and would you work with them again?
Without reservation. We're already in early conversations about a second engagement, and I expect this to turn into a multi-year relationship. Anyone in Pharmaceuticals & Biotechnology looking for real AI & Machine Learning depth paired with actual delivery discipline should have this team near the top of their list.