After conducting over 200 research interviews with data science leaders, one thing has become crystal clear: the struggle to transition from pipeline prototypes to production is a common pain point in the industry.
We heard their voices, understood their challenges, and embarked on a mission to simplify data science and ML infrastructure.
Enter SmartPipes, the codename for our game-changing solution designed to empower data scientists and effortlessly bridge the gap between experimentation and production deployment. Buckle up and prepare for a smooth flight as we embark on a journey to simplify the process and make ML and data science infrastructure a breeze.
With SmartPipes, we've created an intuitive and user-friendly platform that takes care of the intricate infrastructure details, allowing data scientists to focus on what they do best: building powerful models and model pipelines. Opening ports, setting up gateways, load balancers, database configurations, DNS setups, learning K8s, YAML, and a host of other things you don't have to worry about when using Seaplane Smartpipes
Simplicity lies at the heart of SmartPipes' philosophy; a PythonSDK that builds global cloud infrastructure tailored to data science and machine learning pipeline needs.
Are you excited to see how it works? Let's have a look at a simple demo app that deploys a data science pipeline to summarize a PDF. It consists of three individually scalable steps.
- The first step downloads the PDF, extracts the text, and creates a prompt.
- The second step takes the prompt and runs it through GPT-3
- The final step stores the summary in a managed SQL database.
Think of the time saved! Tasks that used to take hours, such as setting up API gateways, compute containers, database services, and dealing with security rules, can now be completed in mere minutes. It's the difference between a lengthy layover and a direct flight to success!
Want to try this for yourself? Get in touch (you can email me at email@example.com). Our product is not yet publicly available, but we work with a select group of customers to build and deploy their first model pipelines.
Our user research is always ongoing. If you have 30 minutes and want to tell us what you would like us to improve when it comes to data science and ML pipelines, grab a slot HERE and let's chat!