About Nurosoft Consulting
Nurosoft Consulting is a software development company that turns ideas into working products. The company's day-to-day work covers web platforms, mobile apps, and bespoke software. Nurosoft Consulting employs 50 - 249 people. Typical hourly rates run around $25 - $49 / hr/hr. The team is based in Surabaya, Indonesia. Overall, Nurosoft Consulting is one of the options worth shortlisting for a technology project.
Where We Specialize
Industry Expertise
Typical Project Size
Nurosoft Consulting Reviews
Write a ReviewCustom platform that our engineering team is still proud to maintain two years later
Vikram Srinivasan / Head of Platform - Cascade EdTech SolutionsMay 17, 2026
Project summary: Matter management had become a significant overhead for our fee earners. Every hour spent on administration was an hour not spent on billable advisory work — the business case was straightforward.
Our stakeholder group included board members, clinical leads, compliance officers, and end users — each with different technical literacy and different success criteria. This team navigated that stakeholder landscape as well as any vendor I have seen. They adjusted their communication register depending on the audience without losing the substance. They managed expectations honestly throughout. And they delivered a system that each group can point to as meeting their requirements. That breadth is genuinely uncommon.
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 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
Project execution that matched the proposal in every dimension that mattered
Sabrina Vollmer / Chief Innovation Officer - Rheintal Digital AGApr 07, 2026
Project summary: Our legacy LMS had been built for a classroom-first world. Hybrid delivery had exposed its limitations and student satisfaction scores had reflected that for two consecutive years.
The thing that retrospectively seems most significant is how little drama there was. Complex technology projects tend to accumulate incidents, escalations, and tense conversations. This one did not. Problems were surfaced before they became incidents. Scope changes were handled with process rather than conflict. Risks were managed rather than avoided. That level of maturity is rare in my experience and it made the delivery feel almost effortless from our side, which I know it was not from theirs.
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
Their insistence on a detailed functional specification before development began felt like friction at the time. In retrospect, it was the reason the development phase ran without the ambiguity that has derailed similar projects for us previously
Questions & Answers
Virtual environment that our remote team now uses as their primary collaboration space
Zofia Kamińska / CTO - Odra Tech StudioMar 28, 2026
Project summary: Lean manufacturing initiatives required real-time OEE data at the line level. Our existing systems could not provide it without significant manual aggregation.
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.
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
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
Test automation that our developers adopted as a genuine aid rather than a compliance exercise
Jia Hui Tan / VP of Engineering - RedDot Technologies Pte LtdMar 15, 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.
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.
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
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
Headless commerce architecture that gave our content and marketing teams genuine independence
Marcus Holloway / SVP of Engineering - Vertex Cloud DynamicsFeb 09, 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 thing that retrospectively seems most significant is how little drama there was. Complex technology projects tend to accumulate incidents, escalations, and tense conversations. This one did not. Problems were surfaced before they became incidents. Scope changes were handled with process rather than conflict. Risks were managed rather than avoided. That level of maturity is rare in my experience and it made the delivery feel almost effortless from our side, which I know it was not from theirs.
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
Machine learning in production that the board could see working within eight weeks
Shreya Krishnaswamy / VP of Product - Luminar Tech Pvt LtdJan 29, 2026
Project summary: Rapid growth had created a skills gap on the platform engineering side of our business. We needed an experienced partner to close that gap while our internal team scaled, without compromising quality or timeline.
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
Questions & Answers
Real-time dashboards that our executives now open before any other application
Nisha Pillai / Director of Engineering - GrowthBridge VenturesJan 04, 2026
Project summary: Grid modernisation funding required us to demonstrate demand-response capability. The machine learning models existed on paper; we needed an engineering partner to build and productionise them.
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.
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
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