HelixOS

AI-native operating system for next-generation labs.

We are building a unified system for ELN, molecular design, AI copilots, and connector-driven automation — with an audit trail designed for regulated science.

Request investor deck See product scope

3D concept stage: experiment lifecycle, sequence pipeline, and regulated audit flow.

From fragmented lab tools to a single operating layer.

HelixOS merges workspace collaboration, ELN structure, molecular analysis surfaces, local AI connectors, and auditability into one system that scientists can run in browser development mode or desktop-local mode.

Scientific workspace graph

Channel-style workspaces isolate programs and teams while preserving shared operating context.

Versioned ELN + protocols

Projects, experiments, samples, and reusable protocols are modeled as typed contracts with version history.

Desktop-local compute loop

Electron + FastAPI sidecar + MCP bridge keeps sensitive connectors close to instrument and bench workflows.

Audit-by-default architecture

Hash-chained audit events are native to the platform, supporting compliance-forward operational design.

How to use HelixOS

Start with the public site, then choose the path that fits your team: explore the source, download the desktop app, or contact us for a pilot.

1. Explore the platform

Read the product, traction, and investor sections to see the current scope and operating thesis.

2. Try the app

Use the latest GitHub release for desktop evaluation, or build from source if you want to inspect the codebase.

3. Switch themes if you want

Light pastel is the default. Use the theme button in the header to toggle dark mode for comparison.

4. Reach out

Request the deck or start a conversation if you are interested in a pilot, partnership, or investment discussion.

Current traction signals

The platform is in active MVP execution with working browser and desktop stacks, release automation, and domain-level API surfaces.

6 active backend domains

Auth, ELN, Molecular, AI, MCP, and Audit are implemented in the current API runtime.

Dual runtime mode

Browser development mode and desktop sidecar mode run end-to-end from a shared web workspace.

Release-ready desktop pipeline

Tagged desktop builds publish a macOS DMG, establishing a direct distribution channel.

Investor thesis

We believe modern biology teams need one AI-native operating system that joins experimental record, molecular iteration, automation, and governance.

Why now

Scientific software stacks remain fragmented while labs move toward AI-guided workflows and stricter traceability demands.

Contact founders

What we are raising for

Accelerate protocol intelligence, production auth/compliance readiness, and pilot rollouts with partner labs.

Request: strategic seed investors aligned with biotech infrastructure and regulated AI software.

Run it today

Use the packaged desktop build for local evaluation, or run the monorepo for full development visibility.

Download app

macOS DMG from GitHub Releases. Builds are not Apple-notarized yet; allow in System Settings if needed.

Latest desktop release

Build from source

git clone https://github.com/musicofthings/helixos.git
cd helixos
npm run setup
npm run dev:browser

Desktop: npm run dev:desktop · Pack: cd apps/desktop && npm run pack

Technical depth

Architecture, API contracts, and module docs are public for technical due diligence.

Open README on GitHub