AI Grant
AI Grant offers no-strings-attached grants for open source AI projects, and uncapped SAFEs for AI startups.
Grants for open source projects
- Grants from $10,000 to $100,000
- Compute grants on the Andromeda Cluster
- More than 30 grants given since 2017
- Compute grants available on the andromeda cluster for open source model training
- Apply here
- $250,000 on an uncapped SAFE for your AI-native product startup
- $350,000 in Azure credits
- Three day summit in San Francisco with advisors and founders
- Created by Nat Friedman and Daniel Gross
- Apply here by July 1st, 2023; decisions by July 15th
- David Holz, CEO of Midjourney and Leap Motion
- Andrej Karpathy, former Director of AI at Tesla
- Patrick Collison, CEO of Stripe
- Tobi Lütke, CEO of Shopify
- Lukas Biewald, CEO of Weights and Biases
- Alexandr Wang, CEO of Scale.ai
- Aaron Levie, CEO of Box
- Amjad Masad, CEO of Replit
- Riley Goodside, GPT whisperer
- Dave Rogenmoser, CEO Jasper.ai
- Noam Shazeer, co-creator of transformers and CEO of Character
- Mike Krieger, cofounder of Instagram
- Guillermo Rauch, CEO of Vercel
- Christina Cacioppo, CEO of Vanta
- Dylan Field, CEO of Figma
AI Grant Companies — Batch 1
- Perplexity — the fastest way to get an answer
- Animato — video chat with AI characters
- Lexica.art — make AI art
- Replicate — cloud infrastructure for ML models
- Recraft — generate vector art and 3D images
- Flair — AI design tool for branded content
- ValueBase — AI property valuation models for municipal governments
- WOMBO — magical consumer AI experiences
- Cursor — AI-first code editor
- Chroma — programmable memory for AI
- Poly Corp — AI-generated textures
- Minion.ai — automated browser assistant
- Sieve — AI video API
- Sameday — appointment scheduling AI
- Play.ht — AI voiceover for podcasts
- Ghostwrite — automatic email composer
- Rowy — low-code backend
- Birch — automating complex call center operations in regulated industries
- Vizcom — AI-powered engineering drawings
- Circle Labs — generative AI discord friends
- Samaya AI — knowledge disovery platform for financial services
- Secret Weapons — AI video tools used by Hollywood
- Pixelcut — AI-powered product photos
- AniML — nerf-generated product videos
- Dust — browser copilot for teams
- Forefront — enterprise chatbot
Can anyone apply?
Yes – no credentials required.
What type of company or project qualifies?
Anything that leverages AI models in a useful or engaging way. In particular, we're looking for technical & pragmatic founders who want to build great products. If you get a thrill from making something that other people love to use, and you understand that building a new product is 1% idea and 99% iteration, we want to support you.
What do I get if I win?
- A $250,000 investment via a no cap, no discount MFN SAFE (available here).
- Spend a weekend with peers and advisors at the AI Grant summit in San Francisco
- $350,000 in cloud credits from Azure, along with other startup benefits, membership to the Microsoft for Startups Founders Hub, and go-to-market support.
- $50,000 in credits from OpenAI
- $50,000 in credits from Cohere
- $50,000 in credits from AssemblyAI
- $11,000 in AI voice credits from Eleven Labs
- $10,000 in human-labeling credits from Scale.ai
- $10,000 in credits from Hugging Face
- 10 free seats from Weights and Biases
- $5,000 in credits from Zilliz Cloud
- $1,000 in credits from the amazing nat.dev
Wait, is this a grant or an investment?
It is an investment. When we started AI Grant in 2017, we handed out much smaller grants for fundamental research. We awarded grants to 36 individuals, who went on to do important research, and to found companies like Cohere, Helia, and Cresta.
Five years later, it seems much has changed: AI research is abundant, but UX and product innovation is just getting started, and so we're relaunching the program with a focus on AI products & investments versus AI papers & grants.
Are larger investments available?
Nat and Daniel separately invest in startups, generally leading rounds, investing between $1M and $100M.Will you fund multiple projects working on the same thing?
Yes. We plan to fund many companies; some form of overlap is bound to happen. Ultimately, we don't think this will be an issue because we strongly believe the AI product market is enormous -- large enough to support both Lyft and Uber or Bing and Google.
How will you select the winners?
We're looking for smart and energetic people with actionable ideas that are clearly useful. Demos are a big plus; not just because they're fun to look at, but because they hint at the type of person that cares about the end-user experience, which is ultimately all that matters.
Do I need a company to apply?
No, but you will need one if you're accepted into the program. We only invest in Delaware corporations, but you can create one from almost anywhere in the world with Stripe Atlas (or other programs) in only a few days.
Can I apply if I've raised money already?
Yes.
I'm a single founder. Can I apply?
Yes.
Who is funding this?
Nat and Daniel have invested $10M in AI Grant. The company investments themselves are made by AI Grant LLC.
If you are raising more than this, come talk to us directly! We're interested in great companies raising between $2M and $200M.
I love this idea and I want to help! Can I provide additional funding, hardware, GPU time, datasets, mentorship, or help reviewing applications?
Yes! Thank you for being awesome! If you want to contribute in any way, please email us at sponsorship@aigrant.org.
Can I work at a company you fund?
Yes, please fill out the form here and we'll help match you.
I have further questions! How can I reach you?
support@aigrant.org
What will AI-native products look like? (this section written in August 2022)
We have some hunches, but no one knows for sure- It’s a new world; there is no map
- The best products will play to the strengths of this new platform
- They probably won't be simple wrappers on models
- We're interested in all good ideas, not just ones that accord with our hunches!
- Copilot for support, copilot for legal, copilot for sales
- Fine tune on your own data
- Odd that people aren’t trying more of these
- It’s easy to design a great product for a model that doesn’t make mistakes
- LLMs today alternate between spooky and kooky
- Design to minimize the user cost of bad model output
- Scaling laws tell researchers that bigger is better
- But big models are slow, and slow mistakes are annoying
- Latency/IQ/preference curve on model size is not fully understood
- Is AI-generated content the new user-generated content?
- Midjourney discovered that multiplayer is fun; will AI join the chat?
- Hyper-targeted personalized advertising
- Generate custom stories and fanfic
- Make existing books interactive
- Gaming: assets, NPCs, items, dialog, levels, worlds
- "Desktop Pixar"
- Imagine a UI for generating 100 variants, sifting, refining, mixing, remixing
- “Render this character in 100 poses”
- Logline to plot to script to storyboard to video
- Most products are a single forward pass with a little prompt engineering
- What is the UI for cascades?
- Seamlessly shift between outline and text? Pin key details in source materials?
- How do large models unlock creation on mobile?
- Uncool right now because so many bad ones have been made
- LLMs might make great chatbots possible
- Side channels to apps, expert advisors, tutors, assistants, remote employees, friends?
- Ask a question, get a custom article with citations
- Search the web, search my company, search my stuff
- How far can we take Instruct?
- Upwork does $3B in gross sales every year. How many of those tasks can be done by large models?
- Maybe – they have users, data, and money
- If it's a simple bolt-on to an existing tool, they are more likely to do it
- But big companies are not good at inventing new products
- It might start as a toy, or in a small niche
- If it overlaps with the responsibilities of two VPs it's harder to do
- It might pose too much reputation risk
- They don’t need to build a great product; startups do