Please describe your company, your role, and the industry you operate in.
I run technology for Han River Digital Corp, a growth-stage Agriculture 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?
We had a clear product direction for our next stage of growth in Agriculture, but not the internal engineering depth to actually execute it. The AI & Machine Learning piece specifically needed specialist skills we couldn't realistically hire for on the timeline our business plan demanded.
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?
We shortlisted five vendors through a structured process. The technical review knocked two out right away. Of the remaining three, this team stood out because their AI & Machine Learning approach was specific rather than generic, backed by actual reference projects in Agriculture — not just case studies pulled off a website. The reference calls confirmed everything the proposal claimed.
How clearly did the company understand your requirements and business goals?
Thoroughly. The requirements document was detailed enough that our own QA team used it directly to build acceptance criteria. Every user story had a clear business reason attached, and nothing was left open to interpretation. That discipline early on paid off through the rest of development and testing.
How was your overall experience with their communication and project management?
Genuinely excellent, especially given the time difference between Busan, South Korea and the delivery team. Written updates were consistent and specific, anything needing a decision got same-day turnaround, and nothing slipped through the cracks across the whole engagement.
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?
Hard to isolate perfectly given everything else going on in the business, but the numbers we can attribute directly to the AI & Machine Learning work are solid: session duration up, conversion up, error rate down, and our NPS for that touchpoint has moved noticeably. Our account managers say it's coming up positively in client conversations now too.
What did you like most about working with this company?
Their willingness to just be direct. If our requirements were unclear, they said so. If our priorities contradicted each other, they explained why. If an approach we'd assumed was right actually had real downsides, they told us before we'd committed to it. That kind of honesty is exactly what I look for in a long-term partner.
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 Agriculture 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.