# TeachableHub - **Website:** - **Primary alias:** `teachablehub.com` - **Employees:** 2+ - **Location:** Sofia, Sofia-Capital, Bulgaria - **Company kind:** PRIVATELY HELD ## Description TeachableHub is a fully-managed platform designed for machine learning (ML) teams to deploy, serve, and share impactful models as public or private APIs. With TeachableHub, you can fast-track ML deployment in production with zero MLOps, seamless scalability, and no costly infrastructure. The platform enables you to deploy models in under 10 minutes, eliminating the need for Docker knowledge or coding. It offers features such as versioning, model validation, and more out of the box. TeachableHub's serverless infrastructure ensures secure and scalable serving of Teachables (ML models deployed as APIs), eliminating MLOps tasks, underutilized resources, and infrastructure costs. The platform also provides centralized monitoring, management, and control of model usage and performance, allowing collaboration with your entire ML team. TeachableHub offers intuitive UI/UX, effortless integration with any platform, and modern SDKs for easy connectivity. It is available as a Managed Cloud Service or an On-Premise version. Whether you're an innovator, freelancer, student, or part of a large team, TeachableHub has the right solution for you with its Community and Business plans. Sign up for early access and see how TeachableHub can revolutionize your ML deployment process. ## Industries - 🖥 Computers Electronics and Technology _(under Computers Electronics and Technology)_ - 🖥 Computers Electronics and Technology ## Logos & icons - logo _(primary)_ — PNG, SVG — [download](https://cdn.brandfetch.io/idaOF4pavH/w/820/h/205/theme/light/logo.png?c=1bxid64Mup7aczewSAYMX&t=1775661617420) ## Colors | Name | Hex | Theme | | --- | --- | --- | | Mariner | #2f55d4 | accent | | Affair | #7e4197 | dark | | Perano | #a2d2f1 | light | ## Fonts - Nunito — asset _(google)_ - -apple-system — asset _(system)_ --- _Source: _ _See [/llms.txt](/llms.txt) for a full list of agent-readable pages, and [/auth.md](/auth.md) for how agents authenticate._