Hi HN. We’re excited to launch BaseTen today. Our aim is to make building machine learning powered applications as painless as possible for data scientists and engineers.
We’ve built a product that allows users to seamlessly integrate ML models with their custom business logic, expose them as APIs, and ultimately assemble user-facing apps that utilize those APIs. Many ML practitioners find dealing with infra (e.g. docker, k8s) and front-end engineering to be daunting tasks. We want to show them that they can achieve a lot more (e.g. build full-fledged ML-enabled user-facing applications) without having to learn those skill sets.
Our aim was to build something that was 1) simple, 2) powerful, and 3) a joy to use.
This is our take on that — we’d love to hear what you think
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[ 3.6 ms ] story [ 10.1 ms ] threadWe’ve built a product that allows users to seamlessly integrate ML models with their custom business logic, expose them as APIs, and ultimately assemble user-facing apps that utilize those APIs. Many ML practitioners find dealing with infra (e.g. docker, k8s) and front-end engineering to be daunting tasks. We want to show them that they can achieve a lot more (e.g. build full-fledged ML-enabled user-facing applications) without having to learn those skill sets.
Our aim was to build something that was 1) simple, 2) powerful, and 3) a joy to use.
This is our take on that — we’d love to hear what you think