Integrations
We connect accounting, warehouse, CRM, storefront, payments and delivery so that data moves between them on its own, with retries, logs and failure monitoring.
What we integrate
The pain is usually the same: storefront stock does not match the warehouse, leads get lost between the form and the CRM, payments are reconciled by hand. This is what we connect.
Products, prices, stock and orders between the accounting system, the warehouse and the storefront. Exchange runs through queues, so an order peak does not lose messages.
Customers, orders and leads reach the CRM without manual copying, and statuses flow back to wherever a manager or a customer sees them.
Payment, confirmation and refunds stay in sync with the order. Money paths are covered by tests, because a mistake here costs the most.
Shipments are created from the order, and the carrier's statuses and tracking come back automatically.
Google, Apple and Telegram services that neither a website nor a store-published mobile app can do without.
We plug AI models and external data sources into the workflow: the result goes back into your system.
Reliability
Four habits that keep an integration running in production.
We write down which data goes where, how often, and which system owns each field. Without it an integration becomes an argument between two systems about whose data is right.
Exchange runs through message queues and webhooks. A partner outage does not lose data: the message waits and is retried, and a retry does not create a duplicate.
Every exchange is logged: data sent, data received and errors. A monitoring alert tells us about a failure.
OAuth, a separate key per integration, secrets kept out of the code, and public exchange endpoints protected against attacks.
Experience
We do not disclose client names — only the problem and the technology.
A platform with 800 thousand catalogue items and 300–400 thousand users a month. ERP and warehouse exchange data over RabbitMQ, CRM over REST and OAuth, plus WMS, carriers and payments with bank acquiring and instalments: around 40 recurring data exchanges. Security layers against attacks and intrusions cover the platform and its integrations.
Patient images from a Django platform go to Azure AI for analysis, and the result returns into the clinical workflow — with access control over sensitive medical data.
A custom binary station protocol over long-lived TCP sessions, with Redis Pub/Sub between the socket layer and the API: remote commands, live session state, billing and the API for the mobile app.
Four exchange APIs stream into TimescaleDB. More than 100 sources — websites, open APIs and Telegram — go through normalisation, deduplication and failure monitoring.
Technology
Only what is already running in production.
Questions
No. We work with what the system already supports: APIs, webhooks or message queues. The accounting core is not rewritten — the integration is added alongside it.
The message waits in the queue and is retried when the system comes back. A failure shows up in monitoring, so an order does not get lost silently.
ERP and warehouse over RabbitMQ, CRM over REST and OAuth, WMS, bank acquiring and instalments, LiqPay, Stripe, Nova Poshta, Google, Apple and Telegram services, Azure AI. If your system is not on the list but has an API, that is usually a solvable job.
Yes. An AI agent works through the same integrations: it reads data from the system, does its part — classification, drafting a document, an answer — and writes the result back.
With an exchange map: which systems, which data and where the friction is right now. Then one exchange goes into a pilot — for example, storefront orders into accounting — and we take it to production with monitoring.
We can: we monitor failures, update the exchanges when partner APIs change and extend them within an agreed hour budget. The code and the access stay with you.
Contacts
Tell us in two paragraphs what's not working. We will tell you whether we take it on and where we suggest starting. Meetings online, or in person in Uzhhorod or Kyiv.
