Services
// Package
Cloud Cost Audit
Know exactly where your cloud money goes — and leave with an action list your team can execute.
// You get
Four things you keep.
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Full spend breakdown
By service, team and workload.
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Ranked optimization list
With projected THB savings per item.
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Quick wins implemented during the audit
With your approval, not instead of it.
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Executive readout
One page your CFO will actually read.
PLACEHOLDER — the pack leaves the duration open, and the good-fit and not-a-fit thresholds are expressed as a level of cloud spend the owner has not set. Neither a week count nor a spend figure appears until they do.
// Fit
Who this is for, and who it isn’t.
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A good fit
Google Cloud spend at a level worth auditing, and no dedicated FinOps owner inside the team.
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Not a fit
Multi-year committed contracts already fully optimized — or a spend level small enough that a guide will do more than an engagement.
Request a quote for this audit
Scoped to your estate, quoted before you commit to anything.
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.