Services
// System & API Integration
Your systems, finally on speaking terms
Every enterprise runs on systems that were never introduced to each other — ERP here, CRM there, a legacy core nobody dares touch. We design and build the connective tissue that turns a collection of systems into one operation, without ripping out what already works.
// The problem
Integration debt is invisible until the day it is not.
-
Every project added another wire
Point-to-point connections nobody mapped. Ten systems, forty wires, and no diagram that matches reality.
-
The critical flow lives in a nightly batch
Order-to-cash waits until 2am to exist. When the batch fails, someone re-runs it by hand — and that someone is one person.
-
One vendor's upgrade breaks three departments
No versioned contracts, no owner, no test that would have caught it. You find out from the users.
-
The data disagrees at the seams
The same customer exists four times, slightly differently, in four systems — which is why nobody agrees on the numbers either.
// What we deliver
The connective tissue.
-
Integration architecture and API strategy
The map before the wiring: what talks to what today, what should, and the contracts that keep it stable when systems change.
-
API design, development and management
Contract-first APIs on Apigee — designed to be used by teams other than the one that wrote them, versioned so upgrades stop being events.
-
Event-driven and messaging architectures
Pub/Sub-based flows for the things that should not wait for a request — inventory, payments, notifications — with replay and dead-letter handling designed in.
-
Legacy system integration
Connect the system nobody dares touch without rewriting it: adapters, anti-corruption layers, and a plan for the day it does get replaced — see Application modernization.
-
Data synchronization
One source of truth per record, reconciliation you can prove, and a data platform when the point of connecting everything is what the data can tell you.
// How a project runs
Four phases, starting from an honest map.
-
Map and strategy
What happens: we inventory every system and every flow, and design the target architecture with contracts owned by named teams.
You get:
- an integration map of what talks to what today
- a target architecture
- a priority order based on business risk
-
Platform and standards
What happens: API gateway, eventing backbone and environments set up as code, with the standards that keep integration N+1 cheaper than integration N.
You get:
- a working integration platform
- API standards and templates
- CI/CD
-
Build and connect
What happens: integrations built in priority order, each tested against real flows and cut over without stopping the business.
You get:
- live integrations
- versioned contracts
- tests that run on every change
-
Operate and extend
What happens: monitoring per flow, alerting that reaches an owner, and playbooks — run by your team after handover, or by ours.
You get:
- dashboards per flow
- runbooks
- a backlog the business can read
StackApigeeCloud Pub/SubCloud RunWorkflowsREST/GraphQL
// Proof
We wire our own business the same way.
ShopSCAPE — the commerce platform behind Pantip MALL — runs on integrations we built and operate ourselves: Thai payment providers, logistics carriers, tax invoicing and marketplace channels, at national scale, every day. When a carrier changes an API, we feel it before our clients do. That is the operating experience your integration inherits.
// Common questions
What teams ask before they start.
Can you integrate a legacy system without touching its code?
Usually, yes. Adapters at the edges — database views, file interfaces, screen-level integration where nothing else exists — wrapped behind a modern API so the rest of the business stops depending on the legacy system's shape. Rewriting is a separate decision, made later and calmly, not forced by an integration project.
Do we need an API gateway, or is that overkill for us?
If two systems talk, you do not need one. If ten systems talk — or partners and mobile apps call in from outside — a gateway is what gives you security, quotas, versioning and a view of who is calling what. We size the answer to your map, and we will say plainly if you are not there yet.
Batch or real-time — how do we choose?
By the cost of waiting. Reporting can wait for a nightly batch; inventory, payments and anything a customer is staring at usually cannot. Most estates end up hybrid: events for the flows where minutes matter, batch where they do not.
How do you stop integrations breaking when a system upgrades?
Versioned contracts and tests that run on every change. The contract is the agreement, the test is the enforcement — an upgrade that breaks the contract fails in the pipeline, not in production. That is the difference between integration and glue code.
Who owns the integrations after go-live?
You do — with documentation, dashboards and runbooks handed over properly. If you would rather one team stays accountable end to end, we operate what we build under Managed Cloud.
Show us the integration map
Or the absence of one. Either way the first useful output is an honest picture of what talks to what today.
Innovate for the better tomorrow.
// Corporate update
Our
Move
-
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.
-
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.
-
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.
-
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.
-
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.
-
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.