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Stargazer Management Pte Ltd crafts web, mobile, and AI-powered software for teams who want quality, velocity, and a partner who cares. From MVPs to enterprise-grade systems, we deliver reliable, scalable results.
Start a projectComprehensive software and IT solutions built for performance and scalability.
Stargazer is a software studio based in Singapore. We design, build and run software for companies of very different sizes: some arrive with little more than an idea and leave with a working product, others bring us systems that have grown for a decade and need careful hands. What ties the work together is the way we engage. We prefer long relationships to one-off projects, we put senior engineers on every account, and we are willing to say no when a request would hurt the product. Most of our new business comes from clients we already serve, which we consider the most honest measure of quality there is.
Custom software is the core of what we do. A typical project starts with a few workshops in which we map out what the business actually needs, which is often narrower and more useful than the original brief. From there the work moves into design and development in two-week cycles, with a demo at the end of each one, so there is never a long silence between kickoff and delivery. Priorities can shift along the way; the process is built for that.
We build web platforms, mobile applications and the kind of internal systems that quietly replace spreadsheets, email chains and manual copying between tools. Technology choices are made per project rather than out of habit, and we explain them in terms a non-engineer can weigh. We also care a great deal about the parts nobody sees at launch: readable code, sensible architecture, automated tests, documentation a new developer can actually follow. These are the things that decide whether the second year of a product is cheap or expensive, and they are where much of our experience shows.
Sometimes the most valuable thing we deliver is a decision. Companies call us before committing serious budget: to review an architecture before it hardens, to weigh building against buying, to assess the technical state of a company they are about to invest in or acquire, or simply to get an experienced outside view when internal opinions are split.
Our consulting is done by the same senior engineers who build our products, so the advice comes from people who live with the consequences of similar decisions every week. We write our findings in plain language, name each risk together with its likely cost, and give a clear recommendation instead of a menu of options. If a client then asks us to implement what we proposed, we are glad to, but the review stands on its own and many engagements end there. That independence is deliberate; advice is worth more when the adviser is not selling the follow-up.
We plan, build and operate cloud environments on AWS, Azure and Google Cloud. For some clients this means moving off their own servers for the first time, a transition we handle in stages so the business never stops. For others it means cleaning up an environment that was assembled over the years under time pressure and now costs too much and worries everyone.
Everything we set up is defined as code, so an environment can be rebuilt, audited and understood months later without archaeology. Security is part of the design rather than an afterthought: access rights are kept to the minimum needed, backups are tested rather than assumed, and monitoring is in place before the first user arrives. We also keep a close eye on cost. Cloud bills have a habit of creeping upward, and part of our routine work is reviewing them and removing whatever no longer earns its keep.
How software reaches production says a lot about a company’s engineering. Where releases are rare, manual and stressful, they will also be late and error-prone. We set up delivery pipelines that carry code from commit to production through automated builds, tests and staged rollouts, with a quick way back when something looks wrong. Teams tend to go from releasing a few times a month to releasing whenever they need to, and that changes how fast the whole business can react.
The same thinking applies beyond deployment. A surprising share of engineering time in most companies is consumed by repetitive chores: preparing environments, moving data between systems, producing the same reports every Monday. We automate this work so it happens reliably, on schedule, and without occupying people who have better things to do.
There is a wide gap at the moment between what is claimed about AI and what reliably works in production, and we work on the working side of it. Our AI projects begin with a business question rather than a technology: which documents take hours to process by hand, which support questions repeat endlessly, what knowledge sits locked in files nobody can search. We prototype against the client’s real data, measure the results, and only build out what has proven itself.
The work ranges from document pipelines that pull structured data out of contracts and invoices, through assistants that answer questions from internal documentation, to forecasting models folded into everyday reporting. Where the data is sensitive, we deploy models inside the client’s own environment so nothing leaves the house. And when the honest answer is that AI is the wrong tool for a problem, we say so before the budget is spent, not after.
Most software spends far more of its life being maintained than being built, and it shows when that period is neglected. We provide long-term support for the systems we build and also take over systems built by others, including the occasional orphaned codebase whose original developers have long since moved on.
Support with us is a defined service, not a goodwill arrangement. Clients get an agreed response time, proactive monitoring, regular security updates and dependency upgrades, and a periodic look at performance and running costs. Because the same team stays on the account, knowledge accumulates instead of evaporating, and when the time comes to build the next big feature, the people who know the codebase are already in the room. These standing relationships are the foundation of our business, and we treat them accordingly.
We keep our client portfolio deliberately small. It means we sometimes decline work, but it also means no project is ever handed to a junior team, and problems get attention the day they appear. Engagements begin with a short discovery phase that produces a concrete plan and an honest estimate; after that, delivery runs in cycles you can follow, question and redirect. If that sounds like the kind of partner you are looking for, write to us. The first conversation costs nothing.
We typically reply within one business day.
