Please describe your company, your role, and the industry you operate in.
I run technology for Aurora Systems Inc, a growth-stage Financial Services company based in Ottawa, Canada. My role as CTO 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?
Full AI & Machine Learning delivery, with particular depth on the integration and data migration pieces — the riskiest parts of the whole program. On top of that, they kept a dedicated QA person on the project throughout and left our operations team with a proper runbook at handover.
Why did you choose this company over other providers you considered?
We were coming off a failed engagement and went into vendor selection this time with a lot more scrutiny. We asked pointed questions about how they handle scope changes, how they estimate, how they communicate bad news. The answers were specific and consistent across everyone we spoke to on their team, which gave us confidence it wasn't a rehearsed pitch.
How clearly did the company understand your requirements and business goals?
Really well, partly because they already had Financial Services 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?
Genuinely excellent, especially given the time difference between Ottawa, Canada 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?
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 clearest measure is how the system's actually performing in production. In the four months since go-live we've had zero major incidents, our page performance scores improved across every Core Web Vitals metric, and two enterprise clients who'd previously flagged our old platform's limits during renewal talks signed again without raising it.
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 Financial Services 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.