Machine Learning Operations as a Service
Automate, secure, and scale your ML workloads on the cloud
Deliver more value from your data, faster.
The Data Revolution is here, and using data to run and transform your business is the new standard.
Getting value from your data is a difficult process requiring many skills, and doing it in an eficient and quick manner requires the right people and the right tools. Based on our experience with AI projects we designed a set of processes and tools to help you obtain more value from your data models, to get it sooner and to keep getting it over time.
The security of your data is paramount. Be safe while still getting value from it efficiently
Value Chain optimization
Profit from your data sooner and more often
Unleash better collaboration tools and processes to your team.
Automate all AI
Automate everything. Lower your costs.
Start small, start today.
Our MLOps service can be deployed in small increments, which composes over time. We tipically start by automating the two ends of the Machine Learning Develoment Lifecycle: Data ingestion and model deployment.
First we ensure your Data teams are getting a clean and steady stream of data to produce the optimized models your business require. Next we automate the deployment and observability of these models to make a better use of your Data Scientists time and abilities.
Beyond that, the sky is the limit! We add value along the whole Machine Learning Development Lifecycle with tools like Sagemaker experiments so you can always retrace your steps and reproduce any model you did in the past. Another hot tool is Amazon Clarify, which finds biases in your trained models AND in your input data, so you can eliminate them sooner and speed up the process.