About Aeliasoft
Since 2015, Aeliasoft has operated as a technology services provider. Aeliasoft focuses on Mobile App Development. Aeliasoft employs 10 - 49 people. Typical hourly rates run around < $25 / hr/hr. Clients have rated Aeliasoft 4.9 out of 5 in 6 reviews. These details offer a useful starting point when evaluating Aeliasoft.
Where We Specialize
Industry Expertise
Typical Project Size
Aeliasoft Reviews
Write a ReviewA development partner who treated our roadmap as carefully as their own
Reuben Loh / CTO - Marina Bay Ventures Pte LtdJun 03, 2026
Project summary: First notice of loss processing was taking three days on average. Market benchmarks were under four hours. Automation of the intake and triage workflow was the agreed priority.
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.
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
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
Dominic Fairfax / Head of Digital Transformation - Arcadian Consulting LtdJun 01, 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.
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.
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
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
IoT architecture that scaled from pilot to full fleet without a single redesign
Théo Beaumont / VP of Innovation - Laurentian Tech PartnersMay 02, 2026
Project summary: Multi-touch attribution across our media mix had become the most-requested capability from every client in our portfolio. We could not deliver it without rebuilding our data layer.
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
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
A partnership that began with a single project and earned a place on our preferred vendor list
Yuki Hashimoto / Head of Product Development - East Asia Commerce KKApr 15, 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.
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
Cloud architecture that reduced our monthly infrastructure spend by over a third
Maja Söderström / Head of Product Engineering - Scandia Digital ABApr 05, 2026
Project summary: Our agents were spending more time managing data across disconnected systems than managing relationships. We needed a unified platform to give them that time back.
We gave this team an aggressive timeline, a technically complex scope, and a client-side project team that was stretched thin and not always available at the speed the engagement required. They absorbed all of that gracefully. Where they needed input they were precise about what they needed and when. Where they could proceed independently they did. The result was a delivery that landed on time despite the constraints on our side, which I regard as evidence of genuine professional maturity.
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
DevOps toolchain that compressed our two-week release cycle to same-day deployments
Fatima Al-Suwaidi / Head of Digital Strategy - Gulf FinTech HoldingsJan 23, 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.
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.
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
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