DEPLOYMENT-AS-A-SERVICE

DAAS

Learn More

Design Philosophy

Built on Function as a Service (FaaS) that provides maximum flexibility and extensibility.

Deploy AI pipelines (features engineering + model + prediction transformation) in functions naturally powered by the AI language Python.

Open-Standard & Open-Source

Automatic deploy popular open standard and open source models in minutes.

Support PMML, Scikit-learn, XGBoost, LightGBM, Spark-ML; ONNX, TensorFlow, Keras, Pytorch, MXNet, even custom models.

Deployment Lifecycle

Analytic assets management, model versions, and lineage, all in one system.

Monitor performance and healthy of deployments, web service metrics, all showed in the visualization dashboard.

Web Service APIs

Provide REST APIs of real-time scoring, batch scoring, and model evaluations in both Dev and Product modes.

Connect a wide variety of data sources: CSV, HDFS and various relational databases.

About Us

With deep experience in data science, AutoDeployAI leverages open-standard and open-source technologies to deploy your ML & AI models into production at scale on Kubernetes, which provides highly reliable and scalable AI models deployment services. Let’s make AI work for you!

PMML SCORING LIBRARIES

OPEN SOURCE

PMML4S

PMML scoring library for Scala.

PMML4S-Spark

PMML scoring library for Spark.

PyPMML

Python PMML scoring library, it really is the Python API for PMML4S.

PyPMML-Spark

Python PMML scoring library for PySpark, it really is the Python API for PMML4S-Spark.

Latest News

Release

DaaS-MicroK8s 0.9.0 released

DaaS-MicroK8s help users to install DaaS into a single server based on MicroK8s that is the smallest, fastest, fully-conformant single node Kubernetes cluster. DaaS-MicroK8s makes it easy to set up AI model …

Release

PMML Scoring Libraries 0.9.0 released

PMML4S, PMML4S-Spark, PyPMML, PyPMML-Spark 0.9.0 released on Github. You can evaluate a PMML model in popular languages, like Scala, Java, and Python, and run it in Spark to evaluate big …

Read Our Blog

Get in touch

Product demo or general inquiry? We’d love to hear from you. As for product demo, you can either experience our DaaS AI models deployment system in the public cloud, or you can deploy the DaaS trial version in your private cloud environment.



autodeploy.ai@gmail.com