About Monkii
Monkii is a software development company that turns ideas into working products. The company's main offerings are UI/UX Design. Its team includes 10 - 49 specialists working across design, development, and delivery. Typical hourly rates run around $100 - $149 / hr/hr. Monkii operates out of Melbourne, Australia. This profile is a starting point — reach out to Monkii directly to discuss project specifics.
Where We Specialize
Industry Expertise
Typical Project Size
Monkii Reviews
Write a ReviewThe first content management system we have deployed that editors genuinely prefer
Siobhan Gallagher / Chief Technology Officer - Northumbria FinTech LtdJun 09, 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.
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.
Deep domain knowledge that reduced the discovery overhead significantly, proactive risk identification before issues became incidents, delivery cadence that our stakeholders found reassuring
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
Security team that communicated findings clearly to non-technical stakeholders — genuinely rare
Zara Hussain / Head of Technology - Ravi Digital AgencyMay 25, 2026
Project summary: Integration between our clinic management system and our patient-facing app had been a recurring failure point. We needed an engineering partner who could own the integration layer end to end.
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.
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
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
Data engineering quality that will support our growth for years without a rebuild
Niamh O'Sullivan / Director of Product - Munster Digital LtdMay 20, 2026
Project summary: Unplanned downtime had become our single largest cost driver and our data showed that predictive maintenance could address the majority of it — if we had the right infrastructure to act on it.
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
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
Delivered on scope, on time, and with code quality that passed our strictest review
Aarav Mehta / Chief Data Officer - Zenith FinServ LtdApr 04, 2026
Project summary: Warehouse management inefficiencies were adding cost and introducing errors at a rate that was becoming visible to clients. A modernised WMS was the agreed solution internally — we needed a partner to build it.
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.
Deep domain knowledge that reduced the discovery overhead significantly, proactive risk identification before issues became incidents, delivery cadence that our stakeholders found reassuring
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
Test automation that our developers adopted as a genuine aid rather than a compliance exercise
Omar Al-Farsi / Chief Technology Officer - Falcon Digital VenturesMar 16, 2026
Project summary: Our campaign management workflow had grown to involve twelve different tools and significant manual reconciliation. The inefficiency was affecting both speed and accuracy.
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.
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
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
VR training that cut certification time and is genuinely preferred by our trainees
Gustavo Ferreira / VP of Technology - Amazônia Digital LtdaMar 04, 2026
Project summary: Our campaign management workflow had grown to involve twelve different tools and significant manual reconciliation. The inefficiency was affecting both speed and accuracy.
Six months after go-live our platform is processing three times the transaction volume we specified in the original brief. The architecture choices made during discovery accommodated that growth without remediation work. That is the difference between a team that designs for what you tell them and a team that designs for what you are likely to need. We are in conversation about a Phase 2 engagement and I expect to be using this partnership for several years.
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
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