Solutions

Integration Platform

We build the integration layer between your systems — connecting applications, normalizing data formats, and enabling AI to operate across your entire infrastructure regardless of what is already in place.

The problem we solve

AI is only useful when it connects to your systems

Every enterprise runs on a patchwork of applications that do not talk to each other cleanly — ERP systems, CRMs, industry-specific platforms, legacy databases, and modern APIs all running in parallel. AI cannot operate on data it cannot reach.

We build the integration layer that normalizes, routes, validates, and connects data across your infrastructure — whether that means bridging two SaaS tools or transforming clinical message formats for a regulated healthcare environment.

Application-to-application data synchronization
REST and GraphQL API design and integration
Legacy system modernization and migration pipelines
Webhook and event-driven integration architectures
Healthcare: HL7v2 message parsing and FHIR R4 transformation
Third-party SaaS connector development
Real-time data validation and structured error handling
Message queue and async processing pipelines
Industries

Integration across every vertical

Healthcare

HL7v2 to FHIR R4 transformation, lab result pipelines, patient identifier resolution, EMS warning detection, and clinical audit logging for regulated environments.

HL7v2FHIR R4C# / .NET

Retail & E-commerce

Inventory sync across warehouses and storefronts, order management integrations, POS system connectors, and real-time demand signal pipelines.

ERPPOSWebhooks

Finance & Operations

Accounting system sync, payment processor integrations, reporting pipelines, and audit-safe data flows between operational and financial platforms.

APIsReconciliationAudit trails

Enterprise & SaaS

CRM, ERP, and platform interconnections — bidirectional sync, event-driven workflows, and custom connectors for tools that do not have native integrations.

RESTGraphQLEvent queues
Integration patterns

What we design for

Validation first

Every integration includes input validation, schema enforcement, and structured error handling before data reaches downstream systems.

Idempotent by design

Message deduplication and idempotent processing so that retries and replays do not corrupt state.

Observable pipelines

Structured logging, dead letter queues, and alerting so you always know what is flowing and what is failing.

Backward compatible

Integration layers designed so that upstream system changes do not cascade into failures in downstream consumers.