Mobile app design and development
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Your Systems Should Work Together, Not Around Each Other.
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Connected systems. Clean data.
API Integrations That Connect Your Platforms Without Creating New Problems.
When your CRM, your website, your mobile app, and your backend do not share data cleanly, your team compensates manually. We design and build API integrations that eliminate those gaps, starting with a documented data contract and ending with an integration your operations team and future developers can both rely on.
See what we have connected
API Integrations That Connect Your Platforms Without Creating New Problems.
Most digital operations run across more than one system. Your CRM holds client records. Your website surfaces products. Your mobile app processes orders. Your analytics platform reports on all of it. When those systems share data cleanly, your operation is coherent. When they do not, your team compensates manually, and the gap compounds with every new platform added.
We design and build API integrations that treat your systems as a single connected platform. The work starts before any code is written, with a documented data contract specifying what each field means, what values are valid, and what happens when a connected system sends something unexpected. That contract becomes the specification the build is measured against and the reference the next developer reaches for.
Partnering with Code and Visual gives you access to:
- Custom REST API design built to your data model, not adapted from a generic connector
- Third-party integrations connecting your systems to CRM, ERP, payment, logistics, and data platforms
- Webhook management with retry logic, failure monitoring, and error notification
- OAuth 2.0 and token-based authentication for secure system-to-system connections
- API documentation and versioning so the integration can be maintained and extended by any developer
Most Integration Failures Are Data Problems, Not Connection Problems.
When two systems try to share data and something goes wrong, the failure is rarely in the HTTP request. It is in what one system calls a customer and what the other expects to receive. Fields map to the wrong columns. Identifiers do not correspond. Timestamps are in different formats. Each discrepancy becomes either a bug that surfaces under production load or a workaround that someone inherits without documentation. Either outcome costs more than the integration was worth.
Our integration builds start with a data contract: a formal agreement between systems about what each field means, what values are valid, and what the receiving system should do when the source sends something outside those constraints. This is the step most agencies skip. It is also why the integrations they build tend to fail quietly and unpredictably rather than immediately and obviously, leaving the client to discover the problem under load.
Code and Visual has been building backend system integrations for Australian businesses since 2008. We have connected cross-platform apps to product databases, wired enterprise websites to growing SAAS product suites, and built clinical data submission pipelines that need to match national benchmark specifications exactly. The integrations we deliver are documented, tested, and built with the assumption that someone other than the original developer will maintain them.
An Australian API integration team with 18 years of backend experience.
Code and Visual has been designing and building custom API integrations for Australian businesses since 2008. Our Australian-based team documents the data contract before writing code, builds failure handling in from the start, and delivers integrations with the documentation a future developer actually needs to maintain and extend the work.
Case studies.
API Integration Builds for Australian Businesses.
The following projects demonstrate what a contract-first API integration delivers that a generic connector cannot replicate.
CASE STUDY 1
Donaldson Australasia (Truck Filter Guide)
- The Challenge: Donaldson needed vehicle-to-filter compatibility data served consistently to iOS, Android, and web browser clients. Product data changed regularly. Each platform previously required a developer to update files separately, with no validation to prevent incomplete records reaching the published app.
- The Solution: A single REST API backend serving normalised product and compatibility data to all three platforms simultaneously, backed by a custom administration portal giving Donaldson's product team direct write access to the API data without developer involvement.
- The Result: Donaldson's product team updates filter specifications once and the change propagates to all platforms immediately. The API enforces data validation at write time, preventing incomplete compatibility records from reaching any client platform.
CASE STUDY 2
ELMO Software (Company Website)
- The Challenge: ELMO had grown rapidly by acquiring multiple SAAS products. Their existing website could not represent the growing product suite coherently or surface product data consistently across public-facing sections of the site.
- The Solution: A rebuilt company website integrating ELMO's multiple SAAS product lines into a unified information architecture, with structured data connections supporting dynamic product pages, integration partner content, and support documentation tied to specific products.
- The Result: A single digital platform representing the full ELMO software suite, with product data managed from one place and surfaced consistently across all public-facing sections of the site.
System coherence:
Your data, your business logic, your rules, applied consistently across every platform that touches your operation.
More about our
API Integrations services.
Start with the data contract
Start with the data contract
Most API integrations fail not because the HTTP connection breaks, but because the systems on either side disagree about what the data means. One system calls a field "customer_id". The other expects "client_code". One sends a Unix timestamp. The other expects ISO 8601. One allows nulls. The other treats a null as a deletion. Each mismatch becomes either a bug that surfaces under production load or a silent workaround someone inherits without documentation.
Our integration builds begin with a documented data contract: a formal specification of every field that passes between systems, the valid values for each, the behaviour on edge cases, and the handling for when the upstream system sends something outside the agreed constraints. This document is not a side deliverable. It is the build specification the code is measured against.
Building from a contract means the integration behaves predictably under real-world conditions, not just in testing. Errors are caught at the boundary and handled explicitly, rather than propagating silently through connected systems. The next developer who touches the integration has a reference point that is not the code itself.
What this gives you:
- A written data contract before any code is written
- Explicit error handling for out-of-spec data from connected systems
- An integration that behaves consistently under production load
- A specification any future developer can work from without reverse-engineering
Built for when things go wrong
Built for when things go wrong
A well-designed API integration anticipates the things that commonly go wrong. External APIs go offline for maintenance. Rate limits get hit at peak times. Webhook deliveries can arrive out of order or fail entirely. An integration that only works when everything goes right is not production-ready, and the gap tends to surface under load rather than in testing.
We build error handling into every integration from the start rather than adding it after the fact. Failed outbound calls are retried. Duplicate payloads are detected so the same data is not processed twice. Timeouts are set so a slow third-party response does not hold up your application. Failures are logged with enough context that the cause can be identified without recreating the problem in a production environment.
This is scoped in the data contract phase, which means it is implemented consistently across the integration rather than added case by case as problems surface after launch.
What this looks like in practice:
- Retry logic for failed outbound calls to third-party systems
- Duplicate detection so the same payload does not create duplicate records
- Timeout handling so a slow third-party response does not hold up your application
- Error logging with enough context to diagnose failures without reproducing them in production
Integrations you can hand to any developer
Integrations you can hand to any developer
An integration that only its original developer can maintain has a shelf life equal to that developer's tenure. When the developer leaves, or when the third-party API updates its schema, or when a new platform needs to be connected, the integration becomes a liability. The documentation question becomes urgent at the worst possible moment, and the answer is usually that there is none.
Every integration we deliver ships with the documentation a future developer actually needs: the data contract, the authentication mechanism, the error handling logic, the monitoring setup, and the expected behaviour from each connected system. We version the API surface where applicable and provide the specification needed to confirm expected behaviour rather than just implementation detail.
Post-launch support is scoped explicitly so there are no ambiguous expectations about what is included. The integration we hand over is yours, completely, from day one.
What handover looks like:
- Data contract documentation covering every field and edge case
- Authentication and security documentation for system-to-system connections
- Error handling reference so failures can be diagnosed without the original developer
- Explicitly scoped post-launch support with no ambiguity
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