Please describe your company, your role, and the industry you operate in.
I run technology for Han River Digital Corp, a growth-stage Energy & Utilities company based in Busan, South Korea. My role as VP of Engineering covers product engineering, platform operations, and our vendor relationships. We'd hit a point where our internal capacity just couldn't keep pace with what the roadmap demanded.
What specific problem or business challenge led you to hire this company?
Our AI & Machine Learning capability had become the thing slowing everything else down. New feature requests, client asks, internal initiatives — all of it kept queuing up behind a platform that had been stretched way past what it was originally built for. We needed a proper rebuild, not another patch.
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 Energy & Utilities 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?
Both, yes. One sprint hit a one-week delay from a third-party API dependency outside anyone's control. The team flagged it three weeks ahead of time, laid out two options, and we picked an approach that clawed the schedule back within the same sprint. That's the kind of foresight that separates real project management from just reacting to problems.
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?
Their instinct for never losing the business goal in the middle of technical decisions. I've worked with technically strong teams before who lose that thread once things get complicated. This team kept every architectural call tied back to the outcome we'd actually agreed to, which made the harder trade-off conversations a lot easier.
Would you recommend this company to others, and would you work with them again?
Yes, no hesitation. I've already referred them twice within my own Energy & Utilities network, both times to people facing AI & Machine Learning problems similar to ours. I made those referrals confidently because I know the experience I had was repeatable, not a one-off stroke of luck on our project.