Lan Xuezhao
Founder and Managing Partner @ Basis Set Ventures
San Francisco, United States
Lan Xuezhao is a seed investor at Basis Set Ventures in San Francisco focused on Artificial Intelligence and Machine Learning. Lan Xuezhao is based out of San Francisco, California and currently work as Founder and Managing Partner of Basis Set Ventures and Angel investor of Scale. Lan previously worked at Dropbox. Lan Xuezhao attended the University of Michigan.
- Total investments:
- 34
- Last investment:
- Lead investor:
- 21%
Last updated:
For AI agents: llms.txt
Industries Lan Xuezhao invests in
Stages Lan Xuezhao invests in
Countries Lan Xuezhao invests in
Investment Focus
Industry
- Artificial Intelligence 13 (38%)
- Machine Learning 8 (24%)
- Software 7 (21%)
- SaaS 4 (12%)
- Internet 2 (6%)
Stage
- Seed 17 (50%)
- Series A 10 (29%)
- Series B 2 (6%)
- Series C 2 (6%)
- Pre-Seed 1 (3%)
Country
- United States 21 (62%)
- United Kingdom 1 (3%)
Investments
| Company | Description | Round | Links |
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We provide a hands-free experience for using personal devices. | $21.5M / Series A / Dec 02, 2025 | |
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Flint uses Artificial Intelligence to provide personalized learning experience for every student of K-12 and also empower teachers. | $15M / Series A / Nov 05, 2025 | |
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The Memory layer for your AI apps | $20M / Series A / Oct 28, 2025 | |
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Octolane AI is an artificial intelligence platform that rebuilds salesforce with the power of AI. | $2.6M / Seed / Apr 14, 2025 | |
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We provide a hands-free experience for using personal devices. | $5M / Seed / Jun 25, 2024 | |
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CuspAI is a revolutionary AI startup that is developing a platform for next-generation materials to address global sustainability and renewable energy concerns. CuspAI uses cutting-edge generative AI, deep learning, and molecular simulation to accelerate the material design process. Their platform works similarly to a search engine for materials,allowing users to request certain properties for new materials on demand. | $30M / Seed / Jun 18, 2024 | |
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Rasa is an enterprise platform for building and operating AI agents across chat and voice channels. Organizations use Rasa to orchestrate complex, multi-step conversations, integrate AI agents with core business systems, and run them reliably in production environments.Rasa supports long-running interactions that span channels and systems. Theplatform enables consistent agent behavior as conversations evolve, including escalation, recovery, and coordination across workflows. This allows enterprises to deploy AI agents that align with operational requirements rather than isolated use cases.Designed for large-scale deployments, Rasa supports secure operation across cloud and on-prem environments and integrates with existing data, APIs, and tooling. Enterprises adopt Rasa when they need control, scalability, and governance for AI agents supporting critical customer and employee interactions. Rasa was founded in 2016 and is privately held. The company is backed by Accel, Andreessen Horowitz, Basis Set Ventures, PayPal Ventures, and StepStone Group. | $30M / Series C / Feb 14, 2024 | |
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Rasa is an enterprise platform for building and operating AI agents across chat and voice channels. Organizations use Rasa to orchestrate complex, multi-step conversations, integrate AI agents with core business systems, and run them reliably in production environments.Rasa supports long-running interactions that span channels and systems. Theplatform enables consistent agent behavior as conversations evolve, including escalation, recovery, and coordination across workflows. This allows enterprises to deploy AI agents that align with operational requirements rather than isolated use cases.Designed for large-scale deployments, Rasa supports secure operation across cloud and on-prem environments and integrates with existing data, APIs, and tooling. Enterprises adopt Rasa when they need control, scalability, and governance for AI agents supporting critical customer and employee interactions. Rasa was founded in 2016 and is privately held. The company is backed by Accel, Andreessen Horowitz, Basis Set Ventures, PayPal Ventures, and StepStone Group. | $30M / Series C / Feb 14, 2024 | |
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Talofa is building games that make players mentally and physically healthier. Their flagship game on the platform, Run Legends, got over 300,000 downloads in the first 3 months and was featured as one of the "Best New Games" by Apple and Google Play Stores. Talofa’s team has been built up with game veterans from EA, 2K, and Riot Games andthe CEO, Jenny Xu, has created mobile games with over 10M downloads. | $6.3M / Seed / Jan 18, 2024 | |
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Echo Labs is developing the first artificial intelligence capable of human-level transcribing. | $7.7M / Pre-Seed / Jan 10, 2024 | |
| See all 34 investments → | |||
Co-Investors
About Basis Set Ventures
Basis Set Ventures is an early-stage investment firm focused on artificial intelligence and its practical application.
Basis Set Ventures Contacts
| Name | Phone | Socials | |
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John Mannes
Partner
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Lan Xuezhao
Founder and Managing Partner
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Lisa Chen
Operations Manager
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Rachel Wong
Head of Data Science
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Wilson Kyi
Partner
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FAQ
What does Lan Xuezhao invest in?
Lan Xuezhao invests primarily in Artificial Intelligence, Machine Learning and Software startups, most often at Seed and Series A stage. Most of the 34 investments tracked by Shizune back companies in United States. The Investment Focus section breaks down every industry, stage and country in the portfolio.
When did Lan Xuezhao last invest?
The most recent investment recorded for Lan Xuezhao closed in Dec 2025. Shizune tracks 34 investments in total for this profile, including round sizes, stages and portfolio companies, all sourced from confirmed public funding rounds and refreshed monthly.
Is Shizune's investor data accurate?
Yes — every stat on this profile is calculated from confirmed public funding rounds monitored across hundreds of sources since 2020. This profile was last refreshed in Aug 2026 and is updated monthly. Spotted something off? Use the “Suggest an edit” link near the top of the page.
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