Open Intelligence Foundation Funding

Open Intelligence Foundation Funding is sponsored by Open Intelligence Foundation. Offers rapid, no-strings-attached funding to independent AI builders, including those working on large language models.

Open Intelligence Foundation | Empowering Independent AI Builders AI is empowering when it's built by independent minds Empowering researchers, developers, and tinkerers worldwide with fast, trust-based funding. No big lab backing required. No VC strings attached.

Just you and your vision for open intelligence. Up to $10,000 per grant • Larger grants available for select projects We believe the future of AI belongs to everyone, not just the few The Open Intelligence Foundation exists to level the playing field. We provide rapid, no-strings-attached funding to independent AI builders who are creating the tools, libraries, and research that will shape tomorrow's intelligence landscape.

Whether you need GPUs for training, compute credits for experiments, or simply support to keep building while you figure out what's next—we're here to help you move faster.

How to get funded in five simple steps Share links to your work (X, LinkedIn, GitHub) and tell us what you're building Tell us what you need and approximate cost (up to $10,000 per grant; larger amounts available for select projects) We review your application within a few days—no committees, no bureaucracy Receive funding directly—100% of donations go to builders, zero fees No reporting requirements.

Come back when you need more support Supporting builders who are pushing AI forward Building MLX libraries and open source tools that make machine learning more accessible to developers worldwide. MaziyarPanahi on Hugging Face → Founder of OpenMed, building open, auditable medical AI that hospitals can deploy within their own walls—2,800+ models published to Hugging Face. More projects coming soon We're just getting started.

Know someone who should be funded? Know an independent builder who needs support? Help us find the researchers and developers who are creating the future of open intelligence The foundation takes no fees.

All volunteer-run. Every dollar goes directly to funding independent work. We believe in the honor system.

No complex reporting. We trust you're building. Intelligence has no borders.

We fund builders anywhere in the world. Days not months from application to funding. We move as fast as you do.

Building in public, learning in public. We celebrate open source and knowledge sharing. No equity, no control, no board seats.

This is pure support for your vision. Join us in supporting independent AI builders Whether you're a company, foundation, or individual, your contribution goes directly to funding the next generation of open intelligence. All sponsors receive recognition and regular updates on the impact of their contributions.

Providing world-class credit infrastructure for modern fintech companies. As a founding sponsor, CRS Credit API helps empower independent AI researchers and developers worldwide. Fund essential tools and resources Enable significant research projects Shape the future of open AI Join the founding circle of open intelligence Have questions or want to learn more?

Send us a message and we'll get back to you as soon as possible. Credit infrastructure for modern fintech Co-founder & CTO • @jelveh Why We're Funding Prince Canuma Prince Canuma is democratizing AI on Apple Silicon. His open-source contributions have enabled thousands of developers to run powerful AI models locally, making advanced machine learning accessible to everyone with a Mac, iPhone, or iPad.

Same-day MLX conversions for new releases Published to Hugging Face MLX Community Across major open-source projects Major Open Source Contributions Vision Language Models for Apple Silicon. Enables multi-image understanding, video processing, and fine-tuning with LoRA/QLoRA. Includes FastAPI server and Gradio UI.

Text-to-Speech, Speech-to-Text, and Speech-to-Speech library. 35% faster than PyTorch with real-time streaming, voice customization, and iOS/macOS Swift integration. Vision and language embedding models for local inference.

Supports XLM-RoBERTa, BERT, ModernBERT, SigLIP, and ColPali for multimodal retrieval. Performance Optimization: Achieved 35% faster TTS inference compared to PyTorch through efficient quantization and optimization techniques. Day-Zero Model Support: Consistently delivers same-day MLX conversions for newly released models (Gemma 3n, Qwen2.

5-VL, Phi-3 Vision, InternVL3). Production-Ready Tools: Built comprehensive FastAPI servers, Gradio UIs, CLI tools, and Swift integrations making MLX accessible to all developers. "Prince shares his journey to becoming one of the most prolific contributors to Apple's MLX ecosystem, having published over 1,000 models and libraries that make open, multimodal AI accessible and performant on Apple devices."

OPEN MEDICAL AI'S ARCHITECT 🩺 Why We're Funding Maziyar Panahi Maziyar Panahi is building the open foundation for medical AI. As founder of OpenMed and a Hugging Face PRO contributor with 16+ years between France's CNRS and enterprise NLP, he's making sure hospitals, researchers, and regulated industries have auditable, sovereign models they can deploy on their own infrastructure—not locked behind proprietary APIs.

OpenMed on Hugging Face, Spring 2026 Across medical, multilingual, and multimodal AI Ecosystem he helped scale across enterprise Major Open Source Contributions An open-source medical AI initiative spanning biomedical NER, clinical reasoning, and healthcare-specific LLMs. Built to be auditable and deployable inside hospitals—HIPAA and GDPR-aware, with no vendor lock-in.

Recognized by Hugging Face as the most referenced organization powering open-source AI research. A family of post-trained models including Calme-3 in 78B and 3B sizes, advancing open-weight French-language capabilities. Built with modern post-training methods—SFT, preference modeling, and GRPO—and published openly for fine-tuning and downstream research.

End-to-end protein AI pipeline covering structure prediction, sequence design, and codon optimization. Four production models trained in 55 GPU-hours, with CodonRoBERTa-large-v2 hitting a perplexity of 4. 10—demonstrating that frontier biological AI doesn't require frontier-lab budgets.

One of Hugging Face's most prolific publishers of GGUF, GPTQ, and AWQ quantizations—making the latest open-weight models runnable on consumer hardware within hours of release. The plumbing that lets builders everywhere actually use what gets released. National-Scale Infrastructure: 14 years at France's CNRS / ISC-PIF architecting AI platforms—360B+ records, 140+ servers, multi-cloud deployments serving public research.

State-of-the-Art Medical NER: Built clinical transformer models with +9. 7pp improvements over prior benchmarks on biomedical entity recognition tasks. Enterprise Scale: Led the Spark NLP ecosystem to 150M+ downloads and built GenAI solutions for healthcare and pharmaceutical clients operating under strict regulatory regimes.

"Medical AI must be open, auditable, sovereign, and deployable within a hospital's own walls." — Maziyar Panahi, Founder of OpenMed