Please describe your company, your role, and the industry you operate in.
I run technology for Kirin Digital KK, a growth-stage Energy & Utilities company based in Yokohama, Japan. My role as Director of IT Strategy 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?
Regulation in our Energy & Utilities segment shifted and the compliance deadline came from the regulator, not from us. The scale of the AI & Machine Learning changes required justified bringing in a specialist rather than pulling our internal team off the product roadmap to handle it.
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?
A peer in the Energy & Utilities space had used them for something similar in AI & Machine Learning and recommended them without hesitation. Our own due diligence backed that up. Domain knowledge, AI & Machine Learning depth, and a track record of actually delivering — that combination made the decision easy.
How clearly did the company understand your requirements and business goals?
Very well. The discovery phase was more thorough than anything we'd been through with prior vendors. They pushed back on requirements that were vague or contradictory, suggested better alternatives where our own thinking was limited, and produced a spec our internal stakeholders agreed was the clearest version of the product they'd ever seen written down.
How was your overall experience with their communication and project management?
Genuinely excellent, especially given the time difference between Yokohama, Japan 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?
The project came in on schedule. Budget stayed within the agreed ceiling, including one scope addition we asked for ourselves, which was quoted fairly and handled without disturbing the rest of the timeline. Nothing about the invoice came as a surprise.
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.