Connected systems.
No more data silos.
Modern businesses run on dozens of software systems that do not talk to each other. We design the APIs and integrations that make them work together reliably — eliminating manual data transfer, reducing error rates, and giving your teams a single, trustworthy source of truth.
Integration engineering that makes systems work together — not just connect
There is a meaningful difference between two systems being connected and two systems working together. A connection means data can flow between them. Working together means that data flows reliably, with validation at both ends, error handling that prevents one system’s failures from cascading to the other, and monitoring that tells your operations team what is happening before users report a problem.
Most of the integration problems we are asked to solve are not technically complex — they are the result of integrations that were built quickly, without proper error handling, without monitoring, and without documentation that the next engineer can follow. Our API integration services treat these as engineering requirements, not edge cases.
API design is a product decision, not just a technical one
The APIs we build are designed to be consumed by developers who did not build them. That means: consistent naming conventions that do not require reading source code to understand, authentication patterns that follow OAuth 2.0 rather than bespoke schemes that each consumer implements differently, error responses that include actionable information rather than generic codes, and documentation that a developer can follow to a working integration in under an hour.
Event-driven integration for real-time data flows
Polling-based integrations — where one system periodically asks another for updates — are simple to implement and consistently problematic in production. They create unnecessary load, introduce latency proportional to the polling interval, and fail silently when the polled system is unavailable. Our default for real-time data flows is event-driven architecture using Kafka, SQS, or equivalent messaging infrastructure — ensuring that events are delivered reliably, in order, and with the dead-letter queue handling that makes failures recoverable rather than silent.
Specialisations & capabilities
Well-designed RESTful APIs with consistent naming conventions, comprehensive OpenAPI documentation, OAuth 2.0 / JWT authentication, versioning strategy, and rate limiting — built to be consumed by external developers without requiring a support call.
GraphQL APIs for applications with complex, interconnected data requirements — enabling clients to request exactly the data they need and eliminating over-fetching that degrades mobile and frontend performance at scale.
Connecting your systems to Salesforce, HubSpot, Stripe, Twilio, AWS services, payment gateways, logistics platforms, and any other third-party service — with full error handling, retry logic, and monitoring included in scope.
Connecting SAP, Oracle, Microsoft Dynamics, and Salesforce to custom applications — handling the data mapping, transformation logic, and synchronisation challenges that enterprise system boundaries create.
Designing event-driven systems using message queues (RabbitMQ, AWS SQS/SNS), event streams (Apache Kafka), and webhook orchestration — for real-time data flows that scale without polling overhead.
HL7 FHIR APIs, DICOM integration, financial data APIs with SOX compliance, and other regulated-industry integration patterns — where standard approaches are insufficient and domain knowledge is the differentiator.
How every engagement runs
We map every system involved, document the data flows, define the canonical data model, and design the integration architecture before writing any code — preventing the mapping conflicts that derail integrations mid-project.
Numbers that reflect real outcomes
Tools we use in production
Systems that should talk to each other — but do not?
Book a free integration architecture review. We will map your current system landscape, identify the integration gaps that are costing your team the most time, and outline an approach to connecting them reliably.
What makes API and integration projects succeed — and why most are harder than they look
API integration services projects are consistently underestimated at the scoping stage because the technical complexity is not visible from the requirements document. The requirements say ‘integrate Salesforce with our ERP’ — a sentence that obscures the reality: Salesforce’s API has rate limits that affect synchronisation strategies, object relationships that do not map cleanly to your ERP’s data model, and field types that require transformation logic. None of this is unknowable, but it requires experience with the specific platforms involved to scope accurately.
Our system integration company practice has built over 200 integrations across enterprise platforms, SaaS tools, and custom APIs — giving us the pattern recognition to identify the integration-specific complexity that generic estimates miss. We scope integration projects after a platform assessment, not before it.
The second underestimated dimension of enterprise integration services is operational maintenance. Integrations break in production for reasons that have nothing to do with your code: third-party APIs change their response formats, authentication tokens expire, network timeouts occur under load, and partner systems have maintenance windows that coincide with your peak processing times. We design integrations to handle these scenarios gracefully — with alerting, retry logic, and fallback behaviour that your operations team can understand and manage without requiring the original developer.
When to use REST, GraphQL, or event-driven patterns — and how to choose
REST API development remains the right choice for most public-facing and partner APIs — it is well-understood, HTTP-cache-friendly, and supported by every HTTP client in existence. REST is optimal when your resource model is relatively flat, when API consumers need to access individual resources efficiently, and when you want the widest possible ecosystem compatibility. The key to REST APIs that stand the test of time is investment in design upfront: URL structure, versioning strategy, error response format, and pagination conventions that are consistent across all endpoints.
GraphQL API development addresses the specific problem that REST handles poorly: data fetching efficiency for clients with complex, variable data requirements. Mobile applications, in particular, benefit from GraphQL’s ability to request exactly the fields needed for a given screen — eliminating the over-fetching that bloats payloads and the under-fetching that requires multiple round trips. GraphQL is most valuable when you have many different clients with different data needs accessing the same underlying data — and least valuable when you have a small number of well-defined client use cases that REST serves cleanly.
Event-driven architecture using Kafka or SQS/SNS is the right pattern for integrations that need to process high volumes of events reliably, decouple producers from consumers, or guarantee exactly-once or at-least-once delivery semantics. The operational complexity of running Kafka in production is real — but for workloads where reliable, ordered, high-throughput event processing is a requirement, it is the right trade-off. We design event-driven systems with the schema registry, consumer group management, and lag monitoring that production deployments require.
API development services that do not treat security as a first-class concern produce APIs that pass the initial review and fail the first penetration test. Our standard API security controls include: OAuth 2.0 with PKCE for user-facing APIs, API key management with scope-limited keys for service-to-service integration, rate limiting per client and per endpoint to prevent abuse, input validation on every parameter to prevent injection attacks, and TLS 1.3 enforcement for all connections. For regulated industries, we extend these controls to meet PCI DSS, HIPAA, or FCA-specific requirements.
The most common cause of API consumer frustration is breaking changes deployed without warning. Our approach to API versioning is explicit and conservative: URI versioning (/v1/, /v2/) for public and partner APIs, a minimum 12-month deprecation period before any version is sunset, and migration guides published alongside deprecation notices. We never remove a field from a response without a deprecation warning, never change a field’s type without a version increment, and never break backwards compatibility within a version — even for responses that technically should have been designed differently.
ERP integration services for SAP, Oracle, and Microsoft Dynamics require platform-specific knowledge that generic integration frameworks do not provide. SAP’s RFC and BAPI interfaces have specific error handling patterns that differ from REST APIs. Oracle’s concurrent request mechanism requires different retry strategies than synchronous API calls. Dynamics 365’s batch API reduces the round trips required for bulk operations but introduces its own consistency constraints. We document the platform-specific patterns for every enterprise integration we build — so your team can operate and extend the integration without depending on us indefinitely.