✨ Introducing Teil
Effortless AI/ML Development in the Cloud
We help fast growing teams build, test and deploy AI/ML solutions with Cloud Workspaces
Problem
Managing infrastructure is challenging
Complicated Onboarding
Local development environments create onboarding headaches, requiring downloads of repositories and dependencies. With inconsistent laptop setups, new hires face frustrating compatibility issues. Say goodbye to the onboarding struggle and get your team up to speed quickly!
High Costs
Duplicating your company’s data across countless local workspaces drains resources and budgets. Forgetting to shut down a machine could cost you thousands! Streamline your operations and reduce unnecessary expenses with our managed solution.
Security Vulnerabilities
Storing sensitive company data on multiple laptops increases vulnerability to cyberattacks. Managing security configurations across devices is a challenge. Protect your startup with a secure environment
The Cloud Development Environment Built for Teams
Scale Your Development Workflow with Effortless Cloud Efficiency
With Teil, configure your workspace once and spin up multiple instances on-demand to collaborate seamlessly across your codebase. Your environment only stays active while in use, optimizing resource consumption, but supports long-running background processes like AI model training. Scale your compute resources as needed, utilizing powerful machines for intensive tasks and integrating your preferred developer and AI tools. Teil offers a flexible, scalable, and efficient developer suite in the cloud—purpose-built for teams.
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Why Teil?
Scale Your Development, Optimize Your Workflow
Teil handles the pain of managing developer infrastructure
Build and share cloud developer workspaces.
Set up your development environments in seconds. Whether you're onboarding a new hire or scaling your team, everyone works from the same cloud instance—no setup required on local machines.
Seamlessly integrate with your developer stack.
Bring your favorite tools with you! From GitHub to AWS S3 and Metaflow, connect Teil to your existing workflows and code editors. You can work the way you want, with the tools you already know.
Accelerate AI Training with Parallel Processing
With the @teilparallel decorator, you can easily run any Python function on a parallel machine, boosting efficiency and speeding up processes. This is perfect for AI/ML tasks like model training, where offloading to a more powerful machine lets you continue working without interruption. Use it to benchmark models, train multiple processes at once, or handle other resource-intensive tasks—making your workflow faster and more efficient.
Cost Efficiency by Design
Teil optimizes cloud resources, running machines only when needed to avoid wasted costs. Customize our AI services to fit your needs and maximize platform efficiency.
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