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Willow’s $4.5 Million Bet on Voice-Controlled Workflows
Sunday, Aug 23, 2026
Willow has raised $4.5 million as co-founder Allan Guo builds the voice-dictation company after leaving Stanford and entering Y Combinator’s startup ecosystem.
The company has moved from testing healthcare uses to serving customers including Uber, with its software aimed at turning speech into text and controlling broader computer workflows.
Tracking: Y Combinator
Geography: Silicon Valley, San Francisco Bay Area, United States
1. Willow Raises $4.5 Million After Allan Guo Left Stanford for Y Combinator
Willow co-founder and CEO Allan Guo says the AI voice-dictation startup has raised $4.5 million and landed customers including Uber.
Guo, now 20, left Stanford during his freshman year at 18 to build the company with Lawrence Liu after entering Y Combinator’s startup ecosystem.
Willow began in healthcare, where the founders spent about a year testing ideas before observing professionals use voice AI for documentation.
Its software turns speech into polished text for emails, messages, documents and AI prompts, while the company describes a broader goal: voice control across computer applications and workflows. In 2025, Guo announced a $4.
2 million round led by BoxGroup; Goodwater Capital, Burst Capital and Liquid 2 Ventures participated.
Key facts:
- Allan Guo left Stanford during his freshman year at 18.
- Willow says it has raised $4.5 million and counts Uber among its customers.
- BoxGroup led Willow’s $4.2 million 2025 funding round.
- Goodwater Capital, Burst Capital and Liquid 2 Ventures participated.
- Willow was co-founded by Guo and Lawrence Liu.
Why it matters: Willow shows how an unusually young founder used Y Combinator while iterating from healthcare software toward a broader voice-computing product.
The company’s reported financing and Uber customer offer concrete evidence of commercial progress, although the article provides no revenue or customer-count details.
The next question is whether Willow can expand beyond dictation into reliable voice control across workplace applications and AI tools.
That ambition would place it in a broader product category than transcription, but the article does not establish how widely those capabilities are used today.