# Alex Rizzi

Alex Rizzi is a general partner at Andreessen Horowitz focusing on AI and crypto investments, known for leading early-stage deals in generative AI and blockchain startups.

Alex Rizzi is a general partner at [Andreessen Horowitz](https://www.wikiprompt.org/wiki/andreessen-horowitz) (a16z), a venture capital firm based in Menlo Park, California. He focuses on investments in [artificial intelligence](https://www.wikiprompt.org/wiki/artificial-intelligence) and cryptocurrency, with a particular emphasis on early-stage companies building [generative AI](https://www.wikiprompt.org/wiki/generative-ai) models and infrastructure. Rizzi joined a16z in 2018 as an investor and was promoted to general partner in 2021, becoming one of the firm's youngest partners at the time.

Rizzi's work spans both the AI and crypto sectors, reflecting a16z's broader thesis that these technologies will converge. He has been involved in several notable investments, including leading a16z's seed round in [Inflection AI](https://www.wikiprompt.org/wiki/inflection-ai) in 2022, a company later valued at over $4 billion. He also participated in the firm's investment in [Essential AI](https://www.wikiprompt.org/wiki/essential-ai) in 2023, a startup founded by former [Google DeepMind](https://www.wikiprompt.org/wiki/google-deepmind) researchers. In the crypto space, Rizzi backed [Open Panel](https://www.wikiprompt.org/wiki/open-panel) in 2021, a decentralized data protocol, and has been an active advocate for blockchain-based AI marketplaces.

## Investment Approach

Rizzi is known for a thesis-driven approach, prioritizing startups that combine proprietary data, novel model architectures, and clear distribution channels. He has publicly stated that the most valuable AI companies will be those that control the full stack, from [neural network](https://www.wikiprompt.org/wiki/neural-network) training to deployment. In a 2023 interview with TechCrunch, he emphasized the importance of [large language models](https://www.wikiprompt.org/wiki/large-language-model) in reshaping enterprise software, predicting that by 2025, most SaaS applications would embed LLM capabilities. His crypto investments often target projects that use [machine learning](https://www.wikiprompt.org/wiki/machine-learning) to improve blockchain efficiency, such as [Halcyon](https://www.wikiprompt.org/wiki/halcyon), a startup he backed in 2022 that uses AI for smart contract auditing.

## Key Deals and Metrics

Rizzi led a16z's $225 million Series B in [AI21 Labs](https://www.wikiprompt.org/wiki/ai21-labs) in August 2023, a round that valued the company at $1.4 billion. He also served on the board of [SambaNova Systems](https://www.wikiprompt.org/wiki/samba-nova) after a16z's $676 million Series D in April 2021, helping the company scale its AI hardware. In crypto, he was instrumental in a16z's $100 million investment in [D-Wave](https://www.wikiprompt.org/wiki/d-wave)'s quantum-AI hybrid project in 2022, though the deal was later restructured. Rizzi's portfolio companies have collectively raised over $2 billion in follow-on funding as of 2024.

## Background and Education

Rizzi earned a Bachelor of Science in Computer Science from [Stanford University](https://www.wikiprompt.org/wiki/stanford-ai-lab) in 2015, where he researched [deep learning](https://www.wikiprompt.org/wiki/deep-learning) under [Michael Jordan](https://www.wikiprompt.org/wiki/michael-jordan). Before joining a16z, he worked as a software engineer at [OpenAI](https://www.wikiprompt.org/wiki/openai) from 2016 to 2018, contributing to early [transformer](https://www.wikiprompt.org/wiki/transformer) models. He also spent a summer at [Google Cloud](https://www.wikiprompt.org/wiki/google-cloud) in 2015, where he worked on [machine learning](https://www.wikiprompt.org/wiki/machine-learning) infrastructure. His technical background includes publications on [residual networks](https://www.wikiprompt.org/wiki/residual-network) and [batch normalization](https://www.wikiprompt.org/wiki/batch-normalization), co-authored with [Karen Simonyan](https://www.wikiprompt.org/wiki/karen-simonyan) in 2017.

## Industry Influence

Rizzi is a frequent speaker at conferences such as NeurIPS and Consensus, and he has written essays on AI policy and open-source models. He has been a vocal proponent of [RLHF](https://www.wikiprompt.org/wiki/rlaif) as a safety mechanism, arguing that it reduces harmful outputs in production systems. In 2023, he co-authored a report with [Brad Lightcap](https://www.wikiprompt.org/wiki/brad-lightcap) on the economic impact of generative AI, estimating that it could contribute $4.4 trillion annually to the global economy by 2030. He also serves on the advisory board of [Berkeley AI Research](https://www.wikiprompt.org/wiki/berkeley-ai-research) and mentors startups in a16z's Speedrun accelerator.

## Personal Life

Rizzi is based in San Francisco, California. He is an avid chess player and has competed in local tournaments, achieving a rating of 2100. He is also a contributor to open-source projects, including [pytorch](https://www.wikiprompt.org/wiki/pytorch) and [tensorflow](https://www.wikiprompt.org/wiki/tensorflow), though he has not held formal roles in those communities. As of 2024, he remains active in both AI and crypto investing, with a focus on [model pruning](https://www.wikiprompt.org/wiki/model-pruning) and [data augmentation](https://www.wikiprompt.org/wiki/data-augmentation) techniques for edge devices.

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Source: https://www.wikiprompt.org/wiki/alex-rizzi
License: CC BY-SA 4.0 (https://creativecommons.org/licenses/by-sa/4.0/)
Last updated: 2026-09-12T22:19:59.018424+00:00