Building open source data infrastructure for the context era.
For data engineers, by data engineers.
Backed by
open source
Any source
01
Databases, APIs, event streams, and files in object storage, all moving through one pipeline.
Any sink
02
Snowflake, BigQuery, ClickHouse, Iceberg, wherever your data needs to land.
Comparing Filament against the field
Measurably faster
Pluggable by design
State, events, and secrets run on backends you choose, swap any one without touching a pipeline.
Verified integrity
Every record is hashed on read and write. Batches fail unless counts, bytes, and checksums match.
Successful AI deployments run on context that's governed, access controlled, and centrally managed.
We help ambitious teams build them.
We are an applied data engineering lab helping organizations own the context layer, because institutional knowledge is your most valuable asset.
IMPACT
We build for scale
We know volume, constraints, and the failure modes that follow
We deploy on your stack
We build alongside your team, in your repos, in your systems
We are a partner, not a vendor
No black box, no vendor lock-in, no penalty for growing
galaxy-io/tempo
Keyboard-driven terminal client for inspecting and controlling Temporal workflows.
GitHub
galaxy-io/gnat
Keyboard-driven terminal client for managing and monitoring NATS JetStream.
GitHub
galaxy-io/sparktop
Live per-node GPU, host, and vLLM stats for DGX Spark clusters, in your terminal.
GitHub
used by teams at
Notes from the lab
8 Insights
Research
Questions
Answered
FAQ
What does Galaxy do?
What is Filament?
What is enterprise context management?
What does working with Galaxy look like?
How do you handle security and compliance?
Why does Galaxy build in the open?
Company
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