Case Study: SeerAI achieves planetary-scale spatiotemporal data fusion and full data lineage with Pachyderm

How SeerAI Delivers Spatiotemporal Data and Analytics with Pachyderm

SeerAI, a spatiotemporal analytics company (products Geodesic and Blackhole), needed to ingest and analyze planetary‑scale, heterogeneous imagery—often petabytes of decentralized, unstructured data—while controlling ML job scheduling, data ingest, and versioning. To meet these challenges SeerAI chose Pachyderm for its cloud‑native, data‑driven pipelines, full data lineage and versioning, and features like Spout and Cron pipelines that integrate with SeerAI’s Blackhole ETL component.

Pachyderm delivered autoscaling, parallelized pipelines with automatic incremental processing and built‑in data versioning, allowing SeerAI to run many ML workflows in parallel, trigger transformations automatically, and avoid reprocessing duplicates. As a result, SeerAI scales to petabyte workloads, reduces compute by processing only changes, and preserves end‑to‑end lineage so outputs can be traced back to the exact pipeline and code—capabilities SeerAI says it couldn’t achieve with alternatives.

SeerAI

Daniel Wilson

Co-founder and CTO