At Skafos.ai, we are passionate about helping mobile developers deliver their models to the edge.
Machine learning is a powerful, disruptive technology that will change what is possible. Mobile engineers should be able to use this technology without first needing to obtain a PhD in machine learning. Our platform enables you to get up and running fast, so you can quickly see the end-to-end pipeline for getting a working model into your app. Once you are ready to iterate and improve? Change your model? Collaborate with a data scientist? We've got you covered there too.
At the end of the day, it takes all of us working together to build meaningful, life-changing ML-powered apps. But you can do more than you think, right now, with Skafos.
Ready? Let's go.
To successfully integrate and deliver an ML-powered app in Skafos, your workflow will include the following components:
- First, you will need to build an app. If you have never done this before, we have some templates to get you started.
- After you have built this app, you will need to configure it to use the Skafos framework.
- You will need to create a Skafos project that can be linked to your iOS App. Within this project, you can bring your own model asset, or build one using a Jupyter IDE.
- You will need to make a few minor changes to your app to integrate your Skafos Project settings into your Swift Code.
We are here to help. Please join our Slack and reddit communities and say hi, ask questions, and meet other Skafos users.