Please describe your company, your role, and the industry you operate in.
I run technology for Oasis Tech Ventures, a growth-stage Food & Beverage company based in Dammam, Saudi Arabia. My role as Head of Innovation 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?
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 Food & Beverage — 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?
Better than we understood them ourselves, honestly. The workshops they ran surfaced assumptions we'd never questioned and exposed a few requirements that flatly contradicted each other. Sorting that out before development started saved us from what would have been serious rework later.
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?
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 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?
What they did after launch. A lot of vendors treat go-live as the finish line. This team treated it as the start of a different phase — the hypercare period was substantial, the documentation held up in practice, and they checked back in at the thirty and ninety day marks to go over production metrics with us unprompted.
Would you recommend this company to others, and would you work with them again?
Yes — though I'll add that they're not the cheapest option out there and they're selective about what they take on. If price is your main filter, look elsewhere. If you need a partner you can trust with a serious AI & Machine Learning program in Food & Beverage and expect them to actually deliver against the brief, this is the team.