Unified connectivity across ERP, CRM, WMS, HR, and custom APIs. One integration layer, one coherent operation.
Many organisations lack an integration strategy, relying on fragile point-to-point connections. We replace chaos with reliability.
We build observable, resilient integration layers for high-volume environments using canonical models and guaranteed delivery.
Platform-agnostic by design, we choose the right tool—MuleSoft, Azure, or Kafka—for your specific roadmap.
Every integration built on a shared domain model, not direct field mappings. When a source system changes its schema, only one mapping updates — not every downstream consumer.
Every message processed with deduplication keys, at-least-once delivery guarantees, and dead-letter queues for failed messages. Silent failures do not exist in our integrations.
Every message logged — source, destination, payload hash, processing time, and outcome. Correlation IDs across system boundaries. Business-level dashboards for ops teams, not just engineers.
Schema registries, API versioning strategies, and consumer-driven contract testing. Breaking changes are caught in the development pipeline, not discovered by a production outage at 3am.
We don't wire two systems together and walk away. We design, build, and operate the integration layer your business runs on.
RESTful and GraphQL API design with OpenAPI specifications, versioning strategy, rate limiting, authentication, and developer portal. APIs your partners can build on with confidence.
Message broker architecture with guaranteed delivery, fan-out patterns, choreography-based event flows, and centralised routing logic separating producers from consumers cleanly.
Rapid integration for standard platforms using MuleSoft, Boomi, and Azure Logic Apps. Connector libraries, pre-built templates, and governed citizen-developer access for non-engineering teams.
Extract, transform, and load at scale — batch and streaming — with schema validation, lineage tracking, SLA monitoring, and full audit trails from source to destination.
Strangler Fig and anti-corruption layer patterns for exposing legacy systems via modern APIs without requiring a rip-and-replace. Your mainframe keeps running; your new systems talk to it cleanly.
Business-level dashboards showing data freshness, pipeline SLAs, error rates, and throughput. Alerts routed to the right team before your users raise a ticket.
Integration debt accumulates faster than any other form of technical debt. Every decision we make is weighted against what it costs to maintain in three years.
We define API schemas, event payloads, and data contracts in OpenAPI and AsyncAPI before a line of integration code is written. Consumer-driven contract tests run on every commit.
Producers and consumers are decoupled via a message broker or API gateway. Neither system knows the other exists. Both systems know exactly what the data looks like.
Errors are surfaced immediately to the right team — not buried in log files. Dead-letter queues, automated retries with exponential backoff, and human escalation paths are designed before deployment.
Every message handler must be safe to run twice. We enforce idempotency keys, deduplication windows, and upsert semantics across all integration endpoints without exception.
Integration dashboards show the state of your business data, not infrastructure metrics. Order lag, sync delay, and reconciliation errors surface to business stakeholders — not just engineers.
Four phases. Clear deliverables at each gate. A handover package your internal team can maintain without calling us every time a field changes.
We map every system, data flow, and integration point in your estate — including the undocumented ones. Source-of-truth analysis, data ownership matrix, and failure mode catalogue.
Platform selection, canonical data model design, event schema definitions, security controls, and error-handling patterns. Every design includes a five-year maintainability assessment.
Integration development with contract tests, end-to-end regression suites, load testing, and chaos engineering to validate failure modes before production. No surprises at go-live.
Optional managed service with SLA-backed monitoring, incident response, schema change management, and capacity planning. Named engineer on every account. Monthly integration health reports.
Not theoretical patterns. Real environments with real constraints — legacy systems, strict compliance requirements, and zero tolerance for data loss.
A UK retailer running five sales channels — website, app, marketplaces, wholesale EDI, and in-store — each with its own inventory state. Oversells happening daily. Manual reconciliation taking 18 staff-hours a week.
A wealth management firm needing MiFID II and CASS reporting from three legacy platforms that had never spoken to each other. Manual extract-and-paste process producing errors that triggered FCA queries.
An NHS-commissioned service spanning four trusts, each running different EPR systems. Clinicians manually checking four systems per patient. FHIR R4 integration layer unifying all records under a single patient identifier.
A manufacturer with 40 suppliers each providing shipment updates in different formats — email, FTP CSV, API, EDI. No single view of inbound stock. Integration hub normalising all feeds into a real-time supply chain dashboard.
Each sector has its own compliance constraints, legacy platform landscape, and data governance requirements. We've worked inside all of them.
FCA-compliant pipelines, MiFID II reporting, CASS segregation, and real-time trading data integration.
HL7 FHIR R4, NHS Spine integration, EPR connectivity, and DSPT-compliant data flows.
Omnichannel inventory sync, order management, marketplace connectors, and loyalty platform integration.
EDI with carriers and suppliers, WMS integration, real-time shipment tracking, and 3PL connectivity.
ERP-to-shopfloor integration, OT data extraction, quality management, and supplier portal connectivity.
PSA, CRM, and finance system integration with time tracking, billing automation, and project data unification.
SIS, LMS, and HR integration with student data governance, GDPR-compliant pipelines, and MIS connectivity.
Cross-agency data sharing with DPA 2018 compliance, legacy COINS and Oracle system wrappers, and secure API gateways.
