Dystr

About Dystr

What Is Dystr?

Dystr is a modern engineering analysis platform that transforms how teams handle technical calculations, modeling, and documentation. By combining data handling, computation, and AI-driven automation, Dystr enables engineers to speed up their workflows and reduce manual work by orders of magnitude.

Who Uses Dystr?

Engineers across fields such as robotics, aerospace, automotive, and systems engineering rely on Dystr to replace legacy tools like MATLAB and consolidate their work into one powerful, intuitive platform.

Core Capabilities of Dystr

Integrated Modeling Environment

Dystr lets you bring together project files, datasets, computations, and notes into a single contextual workspace. This cohesive setup helps teams stay in flow and move effortlessly from raw data to actionable analysis.

AI Workers for Workflow Automation

Automate repetitive or complex sequences using AI Workers. These intelligent agents can execute background computations, trigger tasks from emails or external tools, and run scheduled analyses—all while reducing hands-on engineering time.

Advanced Computational Features

High-Speed Data Analysis

Run large-scale calculations and process datasets in record time. Dystr’s intelligent compute engine ensures your results are accurate and your history is preserved for future use and team collaboration.

Seamless Workflow Sequencing

Dystr allows engineers to sequence multiple tasks into a single automated pipeline. Whether triggered by events or scheduled in advance, workflows scale easily without manual intervention.

Reproducible Results

All data, computations, and outputs are saved within shared projects, making it easy to revisit and reproduce results, even months later.

Security and Compliance

Enterprise-Ready Infrastructure

Dystr is designed with security as a top priority. Data is encrypted both in transit and at rest using industry standards like TLS 1.2+ and AES-256.

Full Data Ownership

Customers retain complete ownership of all uploaded data and model outputs. Dystr does not use client data to train any shared AI models, ensuring privacy and compliance.

Private Deployments

For enhanced control, Dystr offers isolated VPC (Virtual Private Cloud) deployments tailored for enterprise needs. These options provide complete separation and full control over infrastructure and access.

Why Engineers Choose Dystr

Replace Legacy Tools

Teams that have long depended on traditional platforms like MATLAB find Dystr to be a more collaborative and automation-friendly solution.

Built for Engineering Scale

From one-off calculations to recurring system-level analysis, Dystr handles everything in a structured, scalable environment with minimal setup.

No More Fragmented Tools

With integrated version control, data visualization, and team collaboration, Dystr eliminates the need for separate apps, spreadsheets, and repositories.