Source ingestion
APIs, files, databases, and SaaS exports pulled on schedule with retry and backfill logic.
Services / Operations
AI is only as good as the data it's fed. We build pipelines that ingest from your sources, clean and model the data, and deliver it fresh to your warehouse, dashboards, and agents — with monitoring that catches breakage before you do.
What's included
IncludedPipelines should be uneventful. We engineer them that way.
APIs, files, databases, and SaaS exports pulled on schedule with retry and backfill logic.
dbt-style modeled layers: raw, cleaned, and analytics-ready — documented and tested.
BigQuery-centered storage designed for cost control and query speed at your scale.
Freshness, volume, and schema checks with alerts before bad data reaches decisions.
How it works
We start with your most painful source and expand from proven patterns.
Every source, its quirks, and its failure modes get documented.
Pipelines ship with tests, monitoring, and runbooks from day one.
Backfills, schema evolution, and cost controls make the system production-grade.
Before you build.
BigQuery by default — serverless, Google-native, and cost-effective at most scales. We adapt if you have an existing warehouse.
Especially those. Some of the highest-ROI pipelines start as 'the spreadsheet Karen updates every Friday.'
We can run it as a managed service or hand it over with documentation and training — your call.
Make the next move yours.