The next generation AI workspace for building intelligent applications. Create, collaborate, and innovate with cutting-edge AI tools. Currently the tool is in BETA stage.
Free
Launch Team / Built With
Customer.ioAutomate Messaging Everywhere — Startups Get 12 Months Free
Promoted
AI Lab is built to simplify and accelerate ML/DL/RL workflow development, especially for students, researchers, developers, startups, and small businesses that don’t have large engineering teams. In this beta, we’re introducing the core features we believe form the foundation of a modern AI R&D workspace:
🔹 No-code Workflow Builder
Create ML/DL/RL pipelines visually using drag-and-drop components, without dealing with environment setup or complex infra.
🔹 Code-First Experimentation Sandbox (coming next)
For researchers and advanced users, we’re bringing full code flexibility so you can experiment, iterate, and customize your workflows deeply.
🔹 Automated Pipeline Setup
No manual configuration, no dependency headaches — AI Lab handles the underlying setup so you can focus on experimenting.
🔹 Team Collaboration
Work with your teammates in a shared workspace, track workflows, and iterate together in real time.
🔹 Template Publishing
Build once, publish as a reusable template, and share with your team or the community to accelerate future experiments.
We’re excited to keep expanding these features and refining everything based on your feedback. This beta is only the beginning, and your early support is helping shape what AI Lab becomes next.
Thank you again for trying it out, sharing feedback, and supporting our launch. It truly means a lot to us. 🙏
I just tried this and what I liked was the modularity is good, it generates an ideal code in form of .ipynb and .py, it is something that I am going to use to research around and submit my assignments.
The collaboration feature is much needed I can do pair programming with my team and discuss and build workflows quickly
Nice. Congrats on the launch!
Nice product easy to build ML workflows and download the model, saves compute on my side
The feature to download .ipynb makes it easy to submit as assignments