What is Dystr
Dystr is a platform designed to automate complex engineering workloads, enabling teams to replace traditional tools like Matlab and GitHub. It allows users to trigger workloads via email, external tools, or schedules, and collaboratively create, deploy, and monitor fleets of AI Workers. The platform supports deterministic computations, keeps datasets and analysis logic together, and provides a Math View for clear code explanations. Dystr also ensures data security with encryption at rest and in transit, and offers private VPC deployments.
How to Use Dystr
- Trigger your workloads via email, external tools, or schedules.
- Collaboratively create, deploy, and monitor fleets of AI Workers.
- Rapidly write, iterate on, and run deterministic computations.
- Use Math View to see a clear explanation of code at any time.
- Run multi-step code + AI workflows in the cloud.
- Instantly provision isolated environments for each project.
Use Cases of Dystr
Dystr is ideal for engineering teams looking to automate complex workloads, replace traditional tools, and improve collaboration and efficiency. It is particularly useful for teams that need to run deterministic computations, keep project data and logic together, and ensure data security.
Features of Dystr
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Automate Workloads
Automate complex engineering workloads without needing to code.
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Collaborative AI Workers
Collaboratively create, deploy, and monitor fleets of AI Workers.
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Deterministic Computations
Rapidly write, iterate on, and run deterministic computations.
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Math View
Use Math View to see a clear explanation of code at any time.
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Data Security
Data is encrypted at rest (AES-256) and in transit (TLS 1.2+).
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Private VPC Deployments
Private and isolated VPC deployments available for enhanced security.