Your entire team can access, modify, and build on the same validated calculations in one modern collaborative platform.
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Import data from any source or run calculations off parameters and experiment with different input values.
Write calculations once, then re-run with alternate inputs without dealing with file formats. Your team can review, fork, and reproduce each other's work across projects.
Convert raw analysis into formatted documents that stay updated automatically. Create reports that combine calculations, visualizations, and technical narrative. Build reports that stay updated as the dataset evolves and new data is collected.
Define your analysis logic once, then let it run continuously in the background. Weekly manufacturing reports, daily test results, and recurring calculations happen automatically while you focus on interpretation and decision-making.
I built Dystr because I believe engineers deserve tools that match their potential, where calculations flow seamlessly from insight to impact and collaboration knows no technical barriers.
Nabeel Allana
Dystr CEO and co-founder
Previously building at:
Stop emailing scripts and datasets. Your entire team can access, run, and build upon technical analysis in one unified environment, regardless of coding experience.
Turn analysis that takes hours into insights delivered in minutes. Leverage AI to write, interpret, and visualize technical calculations without sacrificing rigor.
Preview and work with any engineering file type. Automatically parse CAN bus logs, HDF5 datasets, and CSV files without writing custom import scripts.
Describe analysis needs in plain terms or modify code directly. Build a library of proven formulas and calculations that your whole team can access and reuse.
Connect data sources directly to analysis pipelines. Email attachments, webhooks, and streaming data trigger calculations automatically on your schedule.
Share live calculations with controlled access permissions. Team members see the same data, run the same analysis, and build on shared work.
Built specifically for engineering teams handling sensitive technical data, Dystr implements comprehensive security measures designed to meet the rigorous requirements of enterprise environments.
Contact us to discuss deployment options that meet your organization's security policies and regulatory requirements.
Data privacy and model training
Dystr does NOT use customer materials to train our models, or incorporate in any way for another party to have access to.
Data encryption
All information flowing through Dystr systems remains encrypted while at rest (AES-256-CGM) and in transit (TLS 1.2+).
Data ownership and retention
Dystr does not retain ownership of customer data or model outputs.
Access control and permissions
Built-in role-based access control allows administrators to secure access to projects for only those team members who need it.
Compliance and certification
SOC2 Type II certification is scheduled for completion in September 2025, with quarterly audits ensuring ongoing compliance.
Enterprise deployment options
Private and isolated VPC deployments are available for organizations with specific security requirements. We support single-tenant environments, GovCloud deployments, and ITAR-compliant configurations.
Our pricing supports platform reliability, security, development, and allows investment in features that continue to enhance the product's capabilities. We prioritize transparent business models over monetizing customer data.
Dystr uses the latest models from both OpenAI and Anthropic under the hood. Enterprise customers can select a private model endpoint to meet deployment requirements.
If you hit a plan limit, you'll see an option to upgrade. If you'd like to continue using Dystr beyond plan limits without upgrading to the next plan up, you can set an overage spend limit in your Organization settings page, and pay only for the excess usage up to a pre-set limit.
Yes! Each Workspace is a shared environment accessible only to authorized users, so all contents are only available to those with permissions.
You do! Dystr does not retain ownership of customer data or model outputs.
You can reach us directly at team@dystr.com