Services
// Cloud Foundation & Landing Zone
A platform your next five projects can stand on
Landing zone, security and infrastructure as code, done in the right order — so data, AI and every project after them starts from a platform instead of starting again.
Talk to our team Request a current-state review
We run a national-scale marketplace on infrastructure we designed ourselves. Google Cloud certified implementation partner.
// How estates end up this way
Most cloud estates were not designed. They accumulated.
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Projects each built their own cloud
Separate accounts, separate networks, separate ideas about identity. Nothing is wrong until you need to connect two of them.
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The bill grows faster than the workload
Nobody can point to which team spent what, so nobody can reduce it — that is a cost-management problem, and it has an owner.
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Security was added after go-live
Firewall rules and IAM roles written under deadline pressure, never revisited, and now nobody dares to touch them.
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The migration is stuck in the hard 20 per cent
The easy workloads moved two years ago. What is left is the part with the dependencies nobody documented.
// What we take on
What we build.
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Landing zone
Organisation and project structure, identity, network topology, logging and policy guardrails — defined as code, so it stays the way it was designed.
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Migration
When workloads need to move into the new foundation, we run it as a proper programme — waves, UAT and a rollback plan on every round. That work has its own page: Cloud Migration & Modernization.
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Cloud security foundation
IAM design, network segmentation, key and secret management, and audit logging that your security team can review rather than take on trust.
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Data platform foundation
The storage, warehouse and pipeline layer that data and AI projects will need next.
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Infrastructure as code and CI/CD
Every environment reproducible from a repository, with deployment pipelines your team can read.
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Multi-cloud where it fits
Google Cloud is our primary platform. We also deliver on BytePlus and Alibaba Cloud when the region, latency, data residency or commercial terms make more sense.
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Team enablement
Working sessions and documentation so your engineers operate the platform, and can extend it without calling us.
// How a project runs
Four phases, and you may only need one of them.
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Assess
We inventory what runs today, map dependencies, and identify what should move, what should be rebuilt, and what should stay where it is.
- A current-state assessment and dependency map
- A migration approach with waves
- A cost projection
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Landing zone
We build the target platform as code — identity, network, policy, logging and environment structure.
- A deployed landing zone
- Infrastructure-as-code repositories
- An architecture document and security baseline
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Migrate
Workloads move in planned waves, each with a test and rollback path, so a bad wave does not become a bad quarter.
Run as a full migration programme when the estate is large — see Cloud Migration & Modernization.
- Migrated workloads and cutover runbooks
- Test results
- Updated architecture documentation
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Optimise and enable
Right-sizing, cost controls, monitoring and alerting, and hands-on enablement for the team that owns it.
- A cost and performance baseline
- Monitoring and alerting in place
- An operations runbook and trained engineers
Which phase you start at depends on what already exists. Plenty of clients only need phase two done properly.
// Where this has run
Where this has run.
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Pantip MALL — a platform we run ourselves
Pantip MALL is a marketplace we build and operate on infrastructure we designed. It is the largest thing we run, and the honest reference for how we build platforms.
Client names and figures appear here only after the client has approved them. The platform above is ours — judge the standard from the thing we run every day.
// Technology partners
The Data, AI and Agentic AI stack we build on.
We build on Google Cloud as a certified implementation partner, with multi-cloud delivery across BytePlus and Alibaba Cloud where the workload calls for it. From strategy through production, our deepest work is in Data Analytics, Data Foundation, Healthcare AI and Retail AI.
we are reseller
- Google CloudVertex AI
we are reseller-
One accountable partner.
From the first workshop to production support, you work with the same certified team. We advise, implement and stay accountable for what we ship.
Talk to our team 
we are reseller
- Data Lakehouse
- Streaming & CDC
- ETL & Pipelines
- BytePlusBytePlus Recommend
- Alibaba CloudMaxCompute
- Customer Data Platform
- Agentic AIHarness Engineering
- Agent Framework
- Conversational AI
// Why teams call us
Why teams call us.
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We resell the clouds we build on
Google Cloud, Alibaba Cloud and BytePlus — one invoice, in Thai baht, with a local tax invoice.
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The foundation is designed for what comes after it
We build data and AI systems on these platforms every week. The landing zone we design for you is the one we would want to build on.
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Small team, senior people
The engineers who scope your project are the ones who do it. There is no layer between the person you met and the person who writes the code.
// Common questions
What teams ask before they start.
What is a landing zone, in practice?
The account structure, identity, network, security policy and logging that every workload inherits — built as code before the first workload arrives. It is the difference between a cloud estate that stays the way it was designed and one that drifts into whatever each project needed that week. If you get only one thing done properly, this is the one.
We are already on the cloud but it is a mess. Do we start over?
Almost never. The usual path is to build a properly designed landing zone alongside what exists, then move workloads into it in waves. Rebuilding everything at once is the expensive way to solve a problem that a migration plan solves gradually.
Google Cloud, Alibaba Cloud or BytePlus — which should we use?
It depends on where your users are, where your data must legally live, what your workload actually does, and what your commercial terms look like. Most of our delivery runs on Google Cloud. We have also delivered on BytePlus and Alibaba Cloud, and we will say plainly when one of them is the better answer for your case — including when that is not the one we resell most.
Do you handle the commercial side, or only the engineering?
Both. We resell Google Cloud, Alibaba Cloud and BytePlus, which means one invoice in Thai baht with proper tax documentation, and a support path that does not start in another time zone. The engineering and the billing do not have to come from us together, but it is simpler when they do.
What about compliance and PDPA?
Access control, logging, retention and data residency are part of the landing zone design, not a later add-on. For regulated data, particularly in healthcare, the same order applies with stricter boundaries.
Will our team be able to run it?
That is the point of phase four. Everything is defined as code in repositories you own, documented, and handed over in working sessions rather than a slide deck. If you would rather not run it yourself, we can keep operating it instead — that is Managed Cloud & FinOps.
Start with what you already have
Show us the estate as it actually is. The first useful output of any engagement is an honest assessment of it — including the parts we would tell you not to move.
Innovate for the better tomorrow.
// Corporate update
Our
Move
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Buying the platform and building on it used to be two conversations with two suppliers. It is one conversation now: we resell Google Cloud, Alibaba Cloud and BytePlus, and the same engineers who size the environment stay with it through production support.
For teams already running with us, nothing changes technically — the difference is commercial. Licensing, quota and billing sit with the people who know what the workload actually does.
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A certified implementation partner works to the cloud provider's published reference architectures. In practice that means your landing zone, IAM model and network layout look like something any Google Cloud engineer can pick up — including the next team you hire.
It also means the review gates are not ours to waive. Where the reference architecture asks for separation of duties or a break-glass path, it gets built.
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Hospital data arrives in fragments — HIS exports, lab feeds, scanned forms, free-text notes in Thai and English. Before a model sees any of it, someone has to answer where each field came from, who consented to what, and which records must never leave the country.
We build that layer first. It is slower to demo and it is the reason the pilots survive contact with a real ward.
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Live commerce moves fast enough that the recommendation loop has to close in the same session. That puts the weight on the event pipeline, not the model: what counts as a view, when a cart event lands, how quickly the feature store sees it.
We treat the BytePlus components as a stack to be wired properly rather than a switch to be flipped. The lift comes from the wiring.
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The site you are reading ships as static HTML, one stylesheet and one script, served by a Node process with a strict content security policy. There is no analytics tag, no font CDN and no tracker.
It is partly a statement of taste and partly a working sample: the same restraint we bring to a client's platform, applied to our own front door.
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Warehouses fill up faster than they get governed. By the time a model needs a feature, nobody can say which of the four revenue columns is authoritative, and the project stalls in a meeting about definitions.
The fix is unglamorous: contracts on the ingest side, lineage through the transformations, and one owner per domain. Do that and the AI work stops being archaeology.