ModelCub

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Mission ​

Our Purpose ​

ModelCub exists to make computer vision development accessible, private, and reproducible for everyone.

The Problem We're Solving ​

Cloud Lock-In ​

Cloud platforms like Roboflow charge $500-$8k/month and lock you into their infrastructure. Your data lives on their servers. Switching is painful. Pricing is opaque.

The cost: A typical startup pays $96k/year for features that should be free.

Privacy Concerns ​

Medical imaging, pharmaceutical research, defense projects - these can't use cloud platforms. Patient data, proprietary research, classified projects must stay on-premise.

The cost: Either pay for expensive enterprise solutions or build everything from scratch.

Fragmented Tooling ​

Label Studio for annotation. Ultralytics for training. Custom scripts for dataset management. No integration. No version control. Hard to reproduce.

The cost: Weeks of engineering time integrating tools instead of building features.

Our Solution ​

ModelCub provides a complete, integrated, local-first platform for computer vision:

  • ✅ Runs entirely on your infrastructure
  • ✅ Free and open source (MIT license)
  • ✅ Professional-grade tooling
  • ✅ Privacy-first by design
  • ✅ Git-like version control
  • ✅ Three interfaces (CLI, SDK, UI)

Who We Serve ​

Medical & Healthcare ​

Hospitals, research institutions, medical device companies working with patient data.

Why ModelCub: HIPAA compliance, on-premise deployment, full audit trails.

Defense & Government ​

Classified projects, sensitive applications, air-gapped environments.

Why ModelCub: Zero external dependencies, complete data sovereignty.

Startups & Indie Developers ​

Small teams building CV products without venture capital.

Why ModelCub: Save $96k/year, own your tools, no vendor lock-in.

Research & Academia ​

Universities, research labs requiring reproducible experiments.

Why ModelCub: Version control, audit trails, easy collaboration.

Our Values ​

Privacy First ​

Your data is yours. Period.

  • No telemetry
  • No tracking
  • No accounts
  • No cloud dependencies
  • Works 100% offline

Developer Friendly ​

Built by engineers who felt the pain.

  • Clean APIs
  • Good documentation
  • Sensible defaults
  • Minimal configuration
  • Fast iteration

Reproducible by Design ​

Science requires reproducibility.

  • Version datasets like code
  • Full audit trails
  • Deterministic builds
  • Clear provenance

Transparent & Open ​

No black boxes. No lock-in.

  • Open source (MIT)
  • Human-readable state
  • Clear error messages
  • Documented decisions

Composable ​

Use what you need.

  • API-first design
  • Standalone components
  • No forced workflows
  • Easy integration

What Success Looks Like ​

Short Term (6 months) ​

  • 10,000+ GitHub stars
  • 1,000+ active users
  • 50+ contributors
  • Used in 5+ hospitals/research institutions
  • Mentioned as "Roboflow alternative" in discussions

Medium Term (1 year) ​

  • 50,000+ stars
  • 10,000+ active users
  • 200+ contributors
  • Featured in academic papers
  • Used by Fortune 500 companies

Long Term (3 years) ​

  • Industry standard for local CV workflows
  • 100,000+ users
  • Thriving ecosystem of plugins
  • Commercial support available
  • Used in production at scale

How We Measure Impact ​

Users Served ​

Number of individuals and organizations using ModelCub in production.

Data Protected ​

Amount of sensitive data kept on-premise instead of uploaded to cloud.

Money Saved ​

Cumulative SaaS fees saved by using ModelCub instead of Roboflow.

Papers Published ​

Academic papers using ModelCub for reproducible CV research.

Founding Story ​

ModelCub was born from frustration.

We were building medical imaging AI for tumor detection. Patient data couldn't leave the hospital's servers. Roboflow was out of the question.

We tried DIY: Label Studio for annotation, Ultralytics for training, custom Python scripts for everything else. It was a mess. No version control. Hard to reproduce experiments. Wasted weeks integrating tools.

We thought: "There must be a better way."

There wasn't. So we built ModelCub.

Now you can have professional MLOps tooling without compromising privacy or paying monthly fees.

Our Commitment ​

To Users ​

  • We will never add telemetry
  • We will never require accounts
  • We will never lock features behind paywalls
  • We will maintain backward compatibility
  • We will respond to security issues within 24 hours

To Contributors ​

  • We will review PRs within 48 hours
  • We will provide clear contribution guidelines
  • We will credit all contributors
  • We will maintain a welcoming community
  • We will document decisions openly

To the Community ​

  • We will remain open source (MIT)
  • We will accept feedback and feature requests
  • We will prioritize user needs over growth metrics
  • We will build in public
  • We will help users migrate away if they choose

Get Involved ​

Use ModelCub ​

The best way to support us is to use ModelCub and tell others about it.

Contribute ​

We welcome contributions of all kinds:

  • Code (features, bug fixes)
  • Documentation
  • Tutorials and examples
  • Bug reports
  • Feature requests
  • Community support

Spread the Word ​

If ModelCub helps you, help others find it:

  • ⭐ Star us on GitHub
  • 🐦 Tweet about your experience
  • 📝 Write a blog post
  • 🗣️ Tell your colleagues
  • 📧 Recommend to your team

Contact ​

Built with ❤️ by developers who felt the pain.

Released under the MIT License.

Copyright © 2025-present ModelCub