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AI2 Incubator

We help entrepreneurs form new teams and build AI-first startups. Apply on our website for $500k investment, up to $1M in free AI compute, and network of AI founders and researchers. We bring together world-class engineers, researchers, and entrepreneurs to create new companies together from scratch. We help them come up with ideas, find co-founders, engage pilot customers, define their product, incorporate the latest A.I. techniques into their technology, and raise millions of dollars in venture funding. Over the last six years, we have invested in 40+ companies that are collectively worth $1B+ in valuation, have collectively raised $220M+ in venture funding, and have collectively created 700+ jobs. But beneath those numbers, the missions of those companies are even more important. These startups are helping immigrants to improve their communication skills (Yoodli), helping scientists to significantly accelerate cancer research (Ozette and Modulus), helping A.I. practitioners monitor critical algorithms in the wild (WhyLabs), helping business ops and legal teams to be much more efficient (Lexion), helping millions of creators to more easily produce voice content (WellSaid), turning your smartphone into a powerful medical device (PreemptiveAI), and so much more. Our unique advantages come from our core team's expertise and our exclusive partnership with the Paul Allen Institute for A.I. (aka "AI2"). Created in 2014 by Microsoft cofounder Paul Allen, AI2 has 200+ PhDs, researchers, engineers, professors, and support staff—and is well known for its contributions to the A.I. research community including 600+ papers, 20+ best paper awards, and numerous products/open source offerings including SemanticScholar, AllenNLP, and more.

Growth Trajectory

The AI2 Incubator is poised for growth by expanding support for AI-first startups and exploring new frontiers in AI, such as Task-Centric AI and Domain-Specific FMs. Investment priorities include supporting entrepreneurs in turning technological advances into impactful products and companies, focusing on AI-first companies leveraging foundation models and exploring new frontiers in AI.

Technical Challenges

Navigating the complexities of building AI-first products.
Bridging the gap between public data and problem-specific data.
Defining minimal algorithmic performance (MAP).
Managing compute costs and scaling AI tech stacks.
Ensuring product-market fit for AI startups.

Tech Stack

AIPythonJavaScriptReactJSChakra UINode/ExpressFlaskPostgresMongoDynamoAWSECSPulumiDockerGitHub ActionsPytorchHugging FacespaCyTensorflow Lite/JSGPTClaudeDALL-E

Team Size

Founders
AI Researchers
Software Engineers
Scientists
Product Leaders
Small Existing Teams/Startups

Key Risks

Rapidly evolving AI landscape necessitates continuous learning and adaptation.
Competition in the incubator and startup space poses challenges in attracting top talent and promising startups.
Reliance on AI2 funding and expertise may create constraints.
Building minimum viable products (MVPs) where AI plays an important role can be technically challenging.
Data privacy and compliance (Privacy & Terms, GDPR, HIPAA) are critical considerations.

Opportunities

Leveraging AI2's research and talent to develop innovative solutions for various industries.
Expanding the incubator's reach to new industries and geographies.
Further collaboration with AI2 and other organizations in the AI ecosystem.
Supporting the exploration and application of foundation models in various domains.
Advancing the state of the art in AI, machine learning, language, vision, and commonsense reasoning.
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