About Brill Mindz Technologies
Since 2011, Brill Mindz Technologies has operated as a technology services provider. The company's main offerings are Mobile App Development. Its team includes 50 - 249 specialists working across design, development, and delivery. Typical hourly rates run around $25 - $49/hr, with an average project cost near $50,000. Overall, Brill Mindz Technologies is one of the options worth shortlisting for a technology project.
Last updated May 13, 2026
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Brill Mindz Technologies Reviews
Write a ReviewThe outcome we specified, delivered the way we needed it, by people we would hire again
Eoghan Fitzgerald / VP of Engineering - Shannon Tech Solutions LtdJan 29, 2026
Project summary: A merger had left us with two incompatible student information systems. We needed a consolidation path that preserved historical data, maintained service continuity, and met accreditation requirements.
We had worked with three agencies before this engagement. The comparison is not flattering to the others. What distinguished this team was a systematic approach to understanding the problem before proposing a solution — something that sounds obvious and is practiced far less often than it should be. The delivery phase ran to schedule, the codebase is clean enough that our internal engineers made positive comments during handover review, and we have not logged a critical incident in five months of live operation. We intend to use them for our next phase of work.
Commercially transparent throughout — no hidden assumptions, no bill shock at the end, change requests that were fair and clearly explained rather than used as a margin-recovery mechanism
Pipeline availability for kickoff required a few weeks of lead time — in hindsight that selection pressure means you are working with a team that is in demand for the right reasons
Questions & Answers
Managed IT that made our internal teams forget infrastructure was something they once worried about
Nathan Prescott / VP of Technology - Ironclad Insurance GroupJan 13, 2026
Project summary: Several years of incremental development had left us with a platform that was technically functional but strategically limiting. A structured rebuild was the agreed path forward.
What made the most difference in practice was the quality of the engineering judgment on this team. Not the ability to execute a specification — that is a baseline expectation. The ability to recognise when a specification was suboptimal, explain why, propose an alternative, and support the client in making a decision about it. That consultative dimension elevated the output beyond what the brief described and resulted in a product that is more fit for purpose than the one we had originally specified.
Clear and consistent communication adapted appropriately for both technical and non-technical stakeholders, shared tooling that gave our team real-time visibility, reliable sprint delivery throughout
Time zone coordination required some deliberate overlap management from both sides in the first couple of sprints, after which we had an efficient async rhythm that worked for the whole project
Questions & Answers
Predictive models that have measurably changed how we approach every planning cycle
Maja Söderström / Head of Product Engineering - Scandia Digital ABJan 02, 2026
Project summary: Our client portal had been built in 2017 and had not received meaningful investment since. Clients were contrasting it unfavourably with the portals of our competitors in pitches.
What made the most difference in practice was the quality of the engineering judgment on this team. Not the ability to execute a specification — that is a baseline expectation. The ability to recognise when a specification was suboptimal, explain why, propose an alternative, and support the client in making a decision about it. That consultative dimension elevated the output beyond what the brief described and resulted in a product that is more fit for purpose than the one we had originally specified.
Delivery timeline that proved achievable rather than optimistic, estimation accuracy that reflected real analysis rather than competitive bidding, scope discipline that prevented the feature creep we had experienced before
We underestimated the input required from our subject matter experts during the requirements phase. The team flagged this early but our resource planning did not fully reflect it — our responsibility, not theirs