Timeline
Typically 1–4 weeks (scope-dependent)
Secure, maintainable integrations with government platforms, registries and APIs: EDUS, VID (EDS), eParaksts, eID. From requirements to production rollout and ongoing support.
Government integrations often become a bottleneck: authentication, strict data formats, validations, audit trails, access control, and compliance. We build an integration layer that is clear, testable, and secure.
We use transparent architecture (API/adapters), add observability (logs, metrics, alerts), ensure resilience to upstream API changes, and document responsibilities so the solution is supportable long-term.
Typically 1–4 weeks (scope-dependent)
Logs, audit, access control, traceability
Remote / on-site (Latvia)
Integration + tests + monitoring + documentation
If your system must exchange data with government platforms or use eID/eParaksts, the integration should be a dedicated, maintainable layer.
Full-cycle delivery: requirements → build → test → deploy → support.
Use cases, data flows, security requirements, SLAs, risks.
Adapters, API layer, transformations, validations, error handling.
eID/eParaksts flows, RBAC, secrets management, least privilege.
Integration tests, sandbox, regression, resilience scenarios.
Logs, metrics, tracing, alerts, incident response playbooks.
API docs, data mapping, access guides, change management.
Clear logs and provable actions for critical workflows.
Adapters + tests so upstream changes don’t become outages.
Fewer errors and manual steps, predictable operations, and resilience to API changes.
Typical: 1–2 weeks for a sandbox prototype, 2–6 weeks for a full integration depending on scope and access.
Define data flows, API constraints, authentication, risks.
Design adapters, mapping, validations, error policy.
Implement integration and tests, prepare sandbox scenarios.
Configure access, logging/alerts, stability checks.
Manage changes, updates, optimization, incident response.
Three typical scenarios and how we deliver them.
Users need to sign submissions online, but the process is manual and slow.
Implement signing flow with audit trail, statuses, and recovery on failures.
Faster processing, fewer manual steps, transparent status for users.
Data is prepared manually (spreadsheets), recurring errors, poor traceability.
Build validation/transformation layer with proper logging and controls.
Fewer errors, faster submission, clear traceability per request.
Rules and formats change and the integration breaks unexpectedly.
Adapters with versioning and regression tests for critical flows.
More stable operations and faster adaptation to changes.
Mistakes we see most often in government integrations — and why they become expensive.
Fields are not normalized and validation rules are not enforced before API calls.
Failures happen “somewhere”, but there’s no correlation id or event linkage.
Tokens/keys in code, no rotation, overly broad permissions.
Changes go live without checks and break production workflows.
Temporary API errors aren’t handled; no queues and no retries.
Integration is not versioned and upstream changes are unmanaged.
Cost depends on the number of integrations, authentication method, test requirements, and sandbox/production access.
One simple integration + basic logging.
Integration layer + validations + tests + monitoring.
Multiple registries/APIs, queues, resilience, higher security requirements.
Describe your scenario (data, volume, authentication) — we’ll propose an approach and budget.
When these points are clear, delivery becomes faster, safer and more predictable.