Data flows and integrations
We connect your product to the systems around it: partner APIs, third-party feeds, marketplaces and internal platforms. The data arrives in different formats and on different schedules. We bring it into one model, keep it consistent as it moves, and pass on only what changed.
What we do
- Normalizing feeds from several providers into one model Each provider has its own names, formats and quirks. We map them to one canonical model, so the rest of your system sees a single source.
- Webhooks that send only what changed Polling and change detection in one place, so client systems receive deltas instead of polling the provider themselves.
- Two-way sync with third-party platforms Changes flow in both directions without loops, duplicates or lost updates, with conflicts settled by rules you agree on.
- Ingestion pipelines Feeds that arrive as files, API responses or streams, validated, reconciled and recorded with a history of every change.
- Internal integrations The back office, billing, messaging and reporting systems that need the same data, kept in step.
When you need this
- Your product depends on data from several providers, and each new one means custom code throughout the system.
- Partners or clients need to hear about changes quickly and reliably, without hammering your API.
- Two systems hold the same records and keep drifting apart.
- You take in high volumes of files or events and need them validated, deduplicated and searchable.
How an engagement works
- Map the sources Formats, schedules, volumes and the ways each source fails.
- Design the model and the flows One canonical model, the mappings into it, and the contracts for the systems you feed.
- Build with replay and monitoring Every change is recorded and can be replayed; late, missing or malformed data raises an alert.
- Run We operate the pipelines or hand them over with runbooks for the failures that will happen.
What you get
- One documented data model for all sources
- Ingestion and sync services with change history and replay
- Webhook or API contracts for the systems you feed
- Monitoring for late, missing or malformed data
- Runbooks for the failures that will happen: a provider changes its format, a feed goes quiet
Related work
Common questions
What happens when a provider changes its data format?
The mapping for each provider lives in one place. Validation catches the change and raises an alert, and the rest of the system keeps running on the last good data. Fixing the mapping is a small, contained change.
Can you replace polling with webhooks?
Yes. We build the polling and change detection once, in one service, and deliver changes to your systems as webhooks, with retries and a way to replay missed events.
How do you keep two systems in sync without duplicates?
With stable identifiers shared across systems, idempotent updates so that applying the same change twice has no extra effect, and explicit rules for which side wins when both change the same record.
Do you work with industry data standards?
Yes, where one exists, such as RESO in real estate. Following the standard means new feeds and partners plug in without changing your model.