Data Ingestion
Our ingestion layer connects operating systems and historical records into a controlled data pipeline that can support downstream software, retrieval, monitoring, and model execution.
Input surface
The input surface can include APIs, relational databases, CRM systems, accounting platforms, payroll, banking records, email, contracts, documents, calls and transcripts, messaging systems, scheduling systems, marketing platforms, internal software, and historical archives.
The technical requirement is not simply access. Production ingestion requires synchronization, state, and recoverability.
Synchronization model
Different sources require different ingestion strategies.
Where a system exposes reliable event notifications, we can use event-based ingestion to reduce delay between a source change and downstream availability. Other systems are better handled through scheduled synchronization. Historical systems may require a bounded backfill before incremental processing begins.
The ingestion path can therefore include:
- Source
- Authentication
- Historical backfill
- Incremental synchronization
- Schema validation
- State / cursor update
- Downstream processing
Pagination, rate limits, retries, and partial failures are treated as pipeline behavior rather than exceptional edge cases.
For recurring pulls, the connector must know what has already been observed. Cursor state, timestamps, source identifiers, or equivalent synchronization markers prevent every run from becoming a full re-import.
Reliability controls
Retries alone are insufficient. A retried ingestion step must not silently create duplicate records or advance synchronization state past data that was never processed.
Where the source and workflow permit it, we design ingestion paths around idempotent processing and explicit state transitions.
Schema drift is handled separately. Source systems change: fields appear, disappear, change type, or begin carrying different values. Downstream systems should not assume that yesterday’s external schema is permanent.
Attachment and media handling can also require a separate path from ordinary structured records, because binary objects, transcripts, metadata, and source references have different storage and processing requirements.
Why this layer exists
The intelligence stack should not depend on a user repeatedly exporting files or manually refreshing a knowledge base.
A model cannot reason over information that never arrived, arrived twice, or stopped synchronizing without anyone noticing.
Our ingestion layer exists to convert heterogeneous company systems into reliable, traceable, continuously usable inputs for the rest of the platform.