I’m Jeff Wells. I am launching https://www.deepserve.ai — a platform to deploy and host machine learning models.
Deepserve makes it extremely easy to take a trained model and deploy it with a single CLI command: `deepserve deploy`
We host the model, deploy it, and give you an API endpoint you can call on to make predictions from your applications. We manage the devops and dependencies and ensure your model is always running. We’ll scale up as much as your application needs, and scale down during off-peak hours to save you money over renting your own servers.
In order to make it easier to use, we have client SDKs to make calling your model a single line of code. We store all of the production inference data so you can grow your training sets with real examples.
We’re now open for beta! I want to onboard companies slowly as it’s critical our infrastructure is robust. Out of the gate I am supporting Fast.ai and working hard to support PyTorch and Tensorflow.
If you don’t have the skillset right now to build your own models — reach out on https://www.deepserve.ai/consultancy or email me. I can build models for you and host them Deepserve. I’ll be transparent that I want to make money on hosting, and would love to take your use case and turn it into a case study.
As an example — I have a client on the platform right now using a text classifier that auto-tags and auto-categorizes their support emails. These emails then get routed and sorted automatically, with the most urgent cases alerting them via slack.
This has been a side project for over a year, and am finally ready for launch. Feedback is welcome and I’d love to connect with anyone who aligns with the mission of bringing machine learning to the world.
You can reach me at jeff @ deepserve.ai