Technology
Technology & Platforms
ESET Ukraine: Custom CRM for Sales, Marketing & Support
Digital Commerce & Distribution
Service
API & Integration
Systems that work together
We build API and system integrations that connect the software your business runs on, so data moves between systems without manual exports. That means designing APIs, connecting third-party services and integrating older systems that hold critical data. We also work in healthcare, including AdvancedMD integration and HL7 message routing through Open Integration Engine.
Our integrations are built with monitoring and documentation, so they can be supported after launch.
API & Integration
Services
Custom API Design & Development
Custom API Design & Development
Building REST or GraphQL APIs for internal systems or partner-facing use. Most API problems don't show up in the first version — they show up a year later, when a breaking change goes out and every downstream consumer breaks at once. Versioned and documented from the start, so a change on one side doesn't quietly break the other.
Third-Party System Integration
Third-Party System Integration
Connecting CRMs, ERPs, payment processors, and other SaaS tools into one working data flow. Most integrations aren't hard because of the API itself — they're hard because of what happens when the third-party service is slow, rate-limits you, or goes down entirely. Built with retries and a real answer for what happens when the other side fails.
Legacy System Integration
Legacy System Integration
Building wrapper APIs and sync layers around systems that don't expose a modern API but still hold data the business depends on. The risk here usually isn't the new integration — it's the old system itself, which nobody wants to touch because nobody fully knows what depends on it. Approached as fragile until proven otherwise.
AdvancedMD Integration
AdvancedMD Integration
Connecting AdvancedMD's scheduling, billing, and EHR data with the rest of a practice's systems, without re-entering the same patient or billing record twice by hand. Most delays here come from the data itself — mismatched patient identifiers, billing codes that don't map cleanly between systems — not the API connection. Built around the data model AdvancedMD actually uses, not a generic integration template.
OIE (Open Integration Engine) Integration
OIE (Open Integration Engine) Integration
Building and maintaining interface channels in Open Integration Engine to route and transform HL7v2, FHIR, and DICOM messages between EHRs, lab systems, imaging, and other healthcare systems — including migrating existing Mirth Connect channels over now that Mirth has moved to a commercial license. Most integration engine failures aren't about the message format — they're a channel that silently stops processing after an upstream system changes a field, caught only when a lab result never shows up where it was expected. Built and monitored so a broken channel gets flagged immediately, not discovered by a clinician.
Custom API Design & Development
Building REST or GraphQL APIs for internal systems or partner-facing use. Most API problems don't show up in the first version — they show up a year later, when a breaking change goes out and every downstream consumer breaks at once. Versioned and documented from the start, so a change on one side doesn't quietly break the other.
Third-Party System Integration
Connecting CRMs, ERPs, payment processors, and other SaaS tools into one working data flow. Most integrations aren't hard because of the API itself — they're hard because of what happens when the third-party service is slow, rate-limits you, or goes down entirely. Built with retries and a real answer for what happens when the other side fails.
Legacy System Integration
Building wrapper APIs and sync layers around systems that don't expose a modern API but still hold data the business depends on. The risk here usually isn't the new integration — it's the old system itself, which nobody wants to touch because nobody fully knows what depends on it. Approached as fragile until proven otherwise.
AdvancedMD Integration
Connecting AdvancedMD's scheduling, billing, and EHR data with the rest of a practice's systems, without re-entering the same patient or billing record twice by hand. Most delays here come from the data itself — mismatched patient identifiers, billing codes that don't map cleanly between systems — not the API connection. Built around the data model AdvancedMD actually uses, not a generic integration template.
OIE (Open Integration Engine) Integration
Building and maintaining interface channels in Open Integration Engine to route and transform HL7v2, FHIR, and DICOM messages between EHRs, lab systems, imaging, and other healthcare systems — including migrating existing Mirth Connect channels over now that Mirth has moved to a commercial license. Most integration engine failures aren't about the message format — they're a channel that silently stops processing after an upstream system changes a field, caught only when a lab result never shows up where it was expected. Built and monitored so a broken channel gets flagged immediately, not discovered by a clinician.
Approach
How we make it happen
Requirements, architecture, and testing against failure, sequenced so a broken connection gets caught by monitoring, not by a customer.
Integration Audit & Requirements
Mapping the systems involved, what data needs to flow where, and what happens today when something on either end fails — including scenarios nobody's tested because they've never had to. Why it matters: most integration timelines slip because nobody accounted for a third-party service's rate limits or downtime until it happened in production.
step 01
Architecture & Approach Selection
Choosing the shape this actually needs — a custom API, a wrapper around a legacy system, an integration engine, or simply calling a third-party service's existing API well — based on what the systems can support, not a default choice. Why it matters: forcing a modern API pattern onto a system that can't support it just moves the fragility somewhere less visible.
step 02
Data Mapping
Reconciling how each system identifies the same record — patient, customer, transaction — before a single message gets routed, not discovered after the first mismatch reaches production. Why it matters: most integration delays trace back to mismatched identifiers or formats, not the connection itself.
step 03
Development & Documentation
Building the integration with retries, clear failure handling, and documentation thorough enough for whoever maintains this next — including the parts that only come up when something breaks. Why it matters: an integration that only works when everything goes right isn't actually finished.
step 04
Testing Against Failure, Not Just Success
Testing what happens when the other system is slow, rate-limited, or down — not just the happy path, including what happens if it comes back mid-retry. Why it matters: the happy path always worked in the demo; it's the untested failure path that shows up as a 2am page.
step 05
Deployment & Monitoring Setup
Rolling out with monitoring in place so a broken connection gets flagged immediately — to the team, not just visible in a log nobody's watching. Why it matters: the alternative is a business user noticing the data stopped updating, days after it actually broke.
step 06
Ongoing Maintenance
Watching for schema and API changes on either end, and adjusting before they cause a break — since the systems on both sides keep evolving on their own timeline. Why it matters: integrations don't stay working on their own — the systems on both ends keep changing whether anyone's watching or not.
step 07
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