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Thesis

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AI research automation

About Thesis

Thesis is a platform that automates artificial intelligence research, allowing researchers to mobilize a multitude of ML scientists in the cloud. With its research agents, users can plan, execute, and learn from their experiments while managing resources optimized for each project. This is particularly useful for research teams in prestigious institutions like Stanford and Harvard. Its ability to operate on multi-cloud infrastructures, such as GCP, AWS, and Azure, ensures great flexibility and scalability during experiments. By using Thesis, researchers can focus on innovation while the platform handles the technical aspects of research.

Source: Thesis official website

Key Features

Full access

Access to the full functionality of the platform

Research agents

Automatically plan and execute experiments

Cloud infrastructure

Optimization for each research session

GPU compute

Access to multi-cloud machines and cutting-edge GPUs

Lifecycle control

Easily start, stop, and reset machines

Artifact storage

Organize and store your datasets and models

Security

Secure access with authentication

Flexible pricing

Only pay for actual usage.

Practical Use Cases

Automate AI experiments for academic research
Optimize compute resources for large-scale ML projects
Facilitate collaboration among distributed research teams
Starting from
Free
per user
Visit
API
Mobile App