Please describe your company, your role, and the industry you operate in.
I run technology for Aurora Systems Inc, a growth-stage Media & Entertainment 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?
The core of it was AI & Machine Learning, though their involvement grew to include technical consulting during discovery that meaningfully sharpened our own requirements. They also took full ownership of the third-party integration work, which had been a coordination headache on past projects, and just handled it themselves.
Why did you choose this company over other providers you considered?
A peer in the Media & Entertainment 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?
Proactive and well-calibrated. Technical detail for the engineering side, plain summaries for the steering group, and risk flags that came with a proposed fix attached rather than just a problem statement. The biweekly sprint reviews kept our stakeholders in the loop without requiring them to sit in on every working session.
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?
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 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 Media & Entertainment 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.