RunMat
GitHub

About RunMat

Engineer copying matrix equations from a whiteboard into MATLAB-style code on a laptop.

Co-founders Nabeel Allana and Julie Ruiz.

Who we are

We're a small team with deep roots in engineering and enterprise software who spent years watching talented people lose time to slow tools and expensive licenses. We started as Dystr in 2022 and learned one thing: engineers don't want a new platform. They want their current workflow to run faster.

That led us to RunMat. Read more about why we built RunMat.

Backed by

Long Journey Ventures logoOmni logoUnpopular Ventures logoFemale Founders Fund logo

Who is RunMat for

RunMat is for people who do math on a computer:

  • Simulations and control systems
  • Signal and image processing
  • Finance, risk, and research

If you've ever felt stuck between MATLAB's readability and Python's openness, RunMat gives you both, plus real GPU speed.

Whether you're migrating off expensive MATLAB licenses or looking for GPU acceleration without learning CUDA, RunMat fits.

Easy to read, fast to run

Code generation is speeding up. More code gets written fast, but checking results is still slow.

Many engineers stay on MATLAB for readability, but deal with licenses and performance limits. Others move to Python and gain openness, but lose the math-like syntax that makes code easy to review.

We think MATLAB-style syntax matters more than ever because it's easy to read. As AI writes more first drafts, humans still need to verify results fast. RunMat is built for that.

Our mission

To enable people to do math and physics that they couldn't do before by creating a modern, high-performance alternative to MATLAB.

We focus on performance and portability without breaking the way engineers already write math. That means a runtime that's fast, secure, and runs on today's hardware out of the box.

What is RunMat today

RunMat is an open-source runtime that executes MATLAB-syntax code (.m files) in the browser, on the desktop, and from the CLI. It covers 300+ core built-in functions with cross-vendor GPU acceleration via Metal, Vulkan, DirectX 12, and WebGPU, though it does not replicate Simulink or specialized toolboxes. The browser sandbox runs entirely client-side via WebAssembly. No account needed, no install, nothing leaves your machine.

Product milestones

Aug 2025

CLI Launch

~5 ms startup, 150–180× faster than GNU Octave. Read more

Nov 2025

RunMat Accelerate

Automatic GPU fusion — 82× faster than PyTorch on 1B-point math. Read more

Mar 2026

Browser Sandbox + RunMat Cloud

Client-side WebAssembly execution, persistent projects, versioning, and collaboration. Read more

Runtime

Fusion engine auto-offloads op chains to GPU. No kernel code, no rewrites

Cross-vendor GPU: Metal, DirectX 12, Vulkan, WebGPU. Works on any hardware

Ignition interpreter for ~5 ms startup; Turbine JIT (Cranelift) for hot paths

Async-capable. GPU readback and long scripts never block the host

300+ built-in functions with a generational GC and memory-safe Rust core

Platform

Browser sandbox: run code instantly, no install

Interactive 2D and 3D plotting with GPU-rendered surfaces (rotate, zoom, pan)

Language tools (LSP + linter) for autocomplete and error checks

Clear errors that help you fix issues fast

Real-time type and shape tracking with live syntax validation

RunMat Cloud

Persistent projects with automatic run history

Automatic file versioning and project snapshots

Team collaboration with shared project state

Chunked, content-addressed large-file storage

Free Hobby tier · Pro & Team tiers

Enterprise

Air-gapped, on-prem deployment as a single binary

Built for ITAR and strict data-residency requirements

SOC 2 audit-ready architecture

SSO / SAML and SCIM provisioning

Audit trails for compliance

Where we're headed

You can use RunMat today as a MATLAB-style runtime. Next, we're building it into a modern environment for engineers where:

Write or generate code faster
Verify results faster
Run work on a laptop, in the cloud, or inside a secure enterprise setup
The goal: Let engineers focus on math and physics, not programming.

Open source at the core

The core runtime is MIT licensed and on GitHub. That includes the JIT, the fusion engine, and the GPU planner. We're committed to keeping it open source and actively maintained.

Run MATLAB code online - no install, no license

Start running math immediately in your browser.

We're based in Seattle, WA and San Francisco, CA. Get in touch or email us at team@runmat.com