Train. Deploy. Observe. Iterate.
AI & Anomaly Detection
Your data scientists develop promising models using their favorite data science tools.
We deploy an advanced scoring engine in your environment.
Once deployed, our APIs and ops team let you upload and launch sophisticated models
quickly, operate at immense speed and scale, and get the detailed monitoring you need.
That means you iterate fast and get working on the next bold idea sooner, not later.
How does it work?
Train your model using standard tools such as TensorFlow, Scikit Learn, PyTorch, XGBoost, etc., or create a custom model.
Deploy the model using our simple API into a Wallaroo cluster (as well as an API to transfer test data to staging) or have our ops team do it for you.
Observe results, compare to benchmarks, and discover opportunities to improve using our out-of-the-box monitoring and audit features.
Iterate as frequently as needed by retraining and redeploying, speeding innovation.
AI examples in IoT, Fraud, Cyber, Advertising, Defense, Trading, and more.
Millions of events a second that need scoring?
Sophisticated models that depend on recent events?
Need to fuse different streams of data together to apply your model?
We’ll get you live much faster with far less cost than any alternative
no matter what your use case is.