Data Pipelines
Your data moves on its own, clean and on time.
From the work: Enterprise AI
an agent in your stack
An example architecture, not a named client: a request comes in, your rules bound it, the agent reads, plans and executes, the systems are written back to, and every step stays logged and auditable.
Your data lives in too many places: a CRM, a billing tool, spreadsheets, a warehouse, three different dashboards. We build the pipelines that connect them, so records move between systems on a schedule or in real time, arrive clean, and stay in sync without anyone copying and pasting. You get one reliable source of truth and your team stops reconciling numbers by hand.
TIM Studio works from Novi Sad in Serbia, remotely, in English and Serbian, for companies in the UK, the EU and the US, and at home across Serbia, Croatia, Bosnia and Herzegovina and Montenegro.
What you get
Connectors between your existing tools (CRM, ERP, billing, ad platforms, databases, spreadsheets) with authentication and rate limits handled
Scheduled or event-triggered syncs, from nightly batch loads to near real time updates when a record changes
A cleaning and transformation layer that deduplicates, normalizes formats, and validates fields before data lands
A central destination set up and modeled: a warehouse, database, or single source table your tools and reports read from
Monitoring with failure alerts, automatic retries, and a log of every run so a broken sync never goes unnoticed
Plain-language documentation of every source, field mapping, and schedule, plus a handover so your team can read and adjust it
How the work runs
Map the data
We trace where your data starts, where it needs to go, and what shape it has to be in once it arrives, then agree on the destination model.
Build and validate
We build the connectors, transformation rules, and schedule, then test against your real data so the numbers reconcile before anything goes live.
Add monitoring
We wire in retries, failure alerts, and run logs so the pipeline recovers quietly and tells you the moment it cannot.
Hand over
We document every source and mapping, walk your team through it, and stay on for a defined support window after launch.
Before you ask
Yes. When two systems have no native connector we build the link through their APIs, and for tools with no API we work with exports, webhooks, or database access. If a source can be reached, we can pipe it.
Every pipeline includes a validation step before data lands. We deduplicate records, enforce field formats, and flag rows that fail the rules so problems are caught at the source instead of multiplying across your tools.
The pipeline retries on its own first. If it still cannot complete, it sends an alert to the channel you choose and logs exactly what broke, so the issue is visible the same morning instead of weeks later when a report looks wrong.
Write to us.