Dystr

What is Dystr?

Dystr is an engineering analysis platform designed to help mechanical and electrical engineers write and run code in the cloud without extensive software experience. It allows users to write and run code in cloud-ready environments, minimizing the need for Python knowledge or cloud provisioning expertise on platforms like Google Cloud, Microsoft Azure, or Amazon’s AWS. Dystr includes natural language code manipulation using Generative AI, triggers and scheduled tasks, and remote cloud environments provisioned as needed. This empowers technical, hardware, and manufacturing-focused engineers to conduct analysis more quickly and efficiently and automate tasks they otherwise couldn’t.

How to use Dystr?

Users can write and run code in cloud environments provided by Dystr. The platform supports natural language code manipulation using Generative AI. Automations can be triggered from emails, external tools, or schedules. Users can also analyze datasets and execute calculations, preserving computation history within shared projects.

Dystr’s Core Features

Cloud-based code execution Natural language code manipulation using Generative AI Automated task scheduling and triggering Remote cloud environment provisioning Data analysis and calculation capabilities Collaboration features with shared projects

Dystr’s Use Cases

• Automating engineering workflows with AI agents
• Accelerating engineering analysis by 10-100x
• Eliminating manual effort through combined deterministic computation and AI
• Running complex recurring computations
• Automating tasks triggered by inbound emails or external tools