What are CVOps?
MLOps
Machine Learning Operations
+
Computer Vision
Processes
=
CVOps
Computer Vision Operations
Your Goals
Optimize project development and deployment, save time, reduce costs.
Our Goals
Provide you with tailored CVOps tools to bring reliable computer vision models into production.
FROM AI DEVELOPMENT TO DEPLOYMENT
A Complete MLOps Stack
Why us?
Promotes Collaboration
Make sure everyone is aligned with your business goals. Let your teams collaborate in every stage of the computer vision pipeline so everyone is on the same page.
Reduces Failure
Rate
Deep learning can get quite messy, really fast. In fact, 85% of ML projects fail. An all-in-one MLOps platform facilitates your computer vision project's success.
Scales With Your Business
Picsellia has no limitations, it scales with your organization. Easily upgrade your plan to one that fits your business' needs while your company is growing.
We believe that
Deep Learning success is all about processes.
A consistent AI data management policy will prevent you from data leakage. Save your team valuable time and drive model performance.
Reproducibility and traceability of computer vision experiments are key for onboarding new collaborators and capitalizing on last projects.
Deep Learning development is iterative. Orchestrate and manage continuous learning pipelines for achieving the best performance. Deploy, monitor, and put your models on auto-pilot.
Jean-Charles Risch
Head of AI @Fortil
Head of AI @Fortil
If you are a company wishing to organize its AI workload and facilitate collaboration in a simple and modular way, an end-to-end solution ranging from data storage to model deployment like Picsellia is just right!
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