Use Cases
ML in Production

From dev to prod,
without any rewrites

Ship reproducible ML pipelines with less rework, less infra pain, and full flexibility over your stack.

Track, debug and trust every step
Effortlessly switch between environments
Go from prototype to prod faster
Applications

Endless ways to create reproducible ML pipelines

Explore real-world workflows you can ship today—powered by xorq’s flexible, engine-agnostic design.

Cybersecurity

Anomaly detection in real-time logs

Stream ingest logs into Redpanda, run feature extraction with pandas-on-Ray, and push suspicious patterns to an alerting system—without switching tools.

Financial Services

Risk model experimentation

Build a credit risk scoring pipeline with modular steps for training, validation, and deployment—toggle between local and Databricks for speed vs scale.

eCommerce

Customer segmentation at scale

Ingest behavioural clickstream data with Snowflake, enrich it with marketing attributes from BigQuery, and train customer LTV models using PyTorch.

Life Sciences

Clinical trial harmonization

Aggregate and normalize trial data from multiple hospital systems using Spark, then run validation checks in DuckDB—all in a single, reproducible pipeline.

Composable

Finally, a composable pipeline you don’t need to rewrite for production.

xorq lets teams define reusable pipelines once, then run them across environments and engines—without duplicating effort or introducing errors.

30+ ML integrations

observability

Scale confidently with observability and smart execution built in.

With caching, lineage, and cross-engine execution, xorq pipelines can be debugged, audited, and optimized—without adding external tools.

35%

Project time wasted in rebuilding pipelines to fit changing infra.

Source
60%

ML models never make it to production due to environment mismatches.

Source

"The Xorq framework greatly simplified our ML pipelines, improving performance 10x and reducing the compute and storage resources required to run them."

Daniel Ashy
Chief Technology Officer, Yendo
Install xorq

Get started with Xorq

Start yourself or request your free build.

Install Xorq

Spin up your first Xorq engine in minutes—locally or in the cloud.

Install with pip
pip install xorq
Or use nix instead
nix run github:xorq-labs/xorq
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Request a demo

Not sure where to start? We’ll build your first xorq pipeline—free. Tailored just to your stack, your use case, and your goals.

Start with a template

Start with a pre-built pipeline tailored to real-world ML tasks—modify it, run it, and make it yours in minutes.

browse all templates
30+ ML integrations

More ways to use xorq

Better ML pipelines.
Launched anywhere.

Try xorq today, or request a walkthrough.