About Gilteq
Gilteq is a technology company founded in 2023. The company's main offerings are UI/UX Design and Web Development. The company operates with a team of 2 - 9 professionals. Typical hourly rates run around $100 - $149 / hr/hr. Gilteq holds a 5.0-star rating across 2 client reviews. Overall, Gilteq is one of the options worth shortlisting for a technology project.
Where We Specialize
Industry Expertise
Typical Project Size
Gilteq Reviews
Write a ReviewA digital marketing partner who optimised for business outcomes, not vanity metrics
Aarav Mehta / Chief Data Officer - Zenith FinServ LtdApr 19, 2026
Project summary: Our internal product thinking was strong but our execution capability in this specific technology domain was limited. We needed depth, not generalism.
I came into this engagement as a sceptic. We had been through a failed implementation with a previous vendor and I had high standards for what evidence of competence looked like before I would trust a partner with our core systems. This team earned that trust progressively — through the quality of the discovery documentation, the rigour of the technical proposals, the consistency of the sprint deliveries, and ultimately the stability of the production system. I no longer lead with scepticism when recommending them.
Architectural decisions designed for longevity rather than just the current brief, thorough automated test coverage, post-launch stability that validated every technical choice made during discovery
The quality of documentation they produce means our team needed to set aside dedicated review time to do it justice — a minor scheduling point rather than a genuine criticism
Questions & Answers
Data platform that turned five years of siloed records into a unified analytical asset
Imogen Tanner / Head of Engineering - Outback Data SolutionsMar 29, 2026
Project summary: Digital service standards required all citizen-facing applications to meet accessibility and performance benchmarks that our inherited systems failed. Remediation was not viable — we needed a replacement.
The technical quality of the final deliverable is the easiest thing to point to. The automated test coverage is thorough, the deployment pipeline is reliable, the documentation is genuinely useful rather than ceremonially produced. But the metric I keep returning to is the number of post-launch conversations we have not had to have. No incident calls at two in the morning. No emergency patches. No retrospective discussions about what went wrong. The absence of those events is the evidence I would show to someone considering this vendor.
Senior-level engineering presence throughout the entire project, not just during the pitch, honest and commercially fair handling of scope changes, codebase that our internal team praised on review
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
Questions & Answers
Finance and operations now work from identical numbers — the value of that cannot be overstated
Nathan Prescott / VP of Technology - Ironclad Insurance GroupMar 19, 2026
Project summary: Our actuarial models had outgrown the reporting infrastructure feeding them. Data latency was introducing risk into pricing decisions that the business had decided it could no longer accept.
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.
Production system that has performed as specified since go-live without remediation work, documentation thorough enough to support internal maintenance, knowledge transfer that left our team genuinely capable
The engagement was priced at the quality level rather than the budget level. We evaluated the alternatives and concluded that the delta was a reasonable premium for the reduction in delivery risk
Questions & Answers
AI models that replaced guesswork with evidence in decisions that matter most
Fatima Al-Suwaidi / Head of Digital Strategy - Gulf FinTech HoldingsMar 12, 2026
Project summary: Our engineering capacity was committed to maintaining existing systems and could not absorb a net-new build of this complexity. An external partner with the right skills was the only viable option.
The project brief was ambitious and we had received proposals ranging from two to five times our eventual budget from other vendors. This team came back with a proposal that was commercially realistic and technically credible — and then delivered against it. That alignment between proposal and outcome is not something I take for granted. I have been on the other side of it enough times to know it requires both honesty in the sales process and discipline in delivery. We experienced both.
Deep domain knowledge that reduced the discovery overhead significantly, proactive risk identification before issues became incidents, delivery cadence that our stakeholders found reassuring
Their discovery process is more rigorous than we were accustomed to and required more preparation from our side than we had initially allocated — but the quality of what followed justified every hour of it
Questions & Answers
The outcome we specified, delivered the way we needed it, by people we would hire again
Siobhan Gallagher / Chief Technology Officer - Northumbria FinTech LtdFeb 25, 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.
The integration layer was the part of the project I was most concerned about going in. Our system landscape is complex, several of the upstream APIs we relied on were poorly documented, and two third-party vendors had a history of unpredictable response times on integration questions. This team managed all of that. They documented what the upstream vendors could not, built resilience into the integration architecture where the upstream behaviour was unreliable, and delivered a solution that works as specified in production. I could not have asked for more.
Collaborative culture that made the team feel like a genuine extension of our organisation, strong asynchronous communication across time zones, zero-drama handling of the inevitable mid-project changes
The engagement was priced at the quality level rather than the budget level. We evaluated the alternatives and concluded that the delta was a reasonable premium for the reduction in delivery risk
Questions & Answers
Proactive support that resolved a network issue at two in the morning before anyone arrived at the office
Marcus Holloway / SVP of Engineering - Vertex Cloud DynamicsFeb 06, 2026
Project summary: Our internal product thinking was strong but our execution capability in this specific technology domain was limited. We needed depth, not generalism.
I came into this engagement as a sceptic. We had been through a failed implementation with a previous vendor and I had high standards for what evidence of competence looked like before I would trust a partner with our core systems. This team earned that trust progressively — through the quality of the discovery documentation, the rigour of the technical proposals, the consistency of the sprint deliveries, and ultimately the stability of the production system. I no longer lead with scepticism when recommending them.
Production system that has performed as specified since go-live without remediation work, documentation thorough enough to support internal maintenance, knowledge transfer that left our team genuinely capable
Their discovery process is more rigorous than we were accustomed to and required more preparation from our side than we had initially allocated — but the quality of what followed justified every hour of it
Questions & Answers
Analytics infrastructure that made our data science team genuinely productive for the first time
Eoghan Fitzgerald / VP of Engineering - Shannon Tech Solutions LtdJan 31, 2026
Project summary: Digital service standards required all citizen-facing applications to meet accessibility and performance benchmarks that our inherited systems failed. Remediation was not viable — we needed a replacement.
I came into this engagement as a sceptic. We had been through a failed implementation with a previous vendor and I had high standards for what evidence of competence looked like before I would trust a partner with our core systems. This team earned that trust progressively — through the quality of the discovery documentation, the rigour of the technical proposals, the consistency of the sprint deliveries, and ultimately the stability of the production system. I no longer lead with scepticism when recommending them.
Deep domain knowledge that reduced the discovery overhead significantly, proactive risk identification before issues became incidents, delivery cadence that our stakeholders found reassuring
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
Custom modules that fit our operational processes rather than forcing us to change them
Tobias Lindemann / Leiter Digitalisierung - Lindemann Industrie GmbHJan 18, 2026
Project summary: The project had a board-facing delivery date tied to a strategic initiative. We needed a partner who would treat that date as their own, not ours.
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.
Deep domain knowledge that reduced the discovery overhead significantly, proactive risk identification before issues became incidents, delivery cadence that our stakeholders found reassuring
Their discovery process is more rigorous than we were accustomed to and required more preparation from our side than we had initially allocated — but the quality of what followed justified every hour of it