Advancing and democratizing Speech AI technology for the world

Our vision is to create new, superhuman Speech AI models that will unlock entirely new classes of applications and products to be built leveraging voice data.

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A research-oriented organization

We're a team of interdisciplinary research leaders, scientists, and engineers focused on building and scaling new state-of-the-art Speech AI models that are accurate, capable, easy to use, and safe. Today, our technology is being widely deployed to recognize, understand, and process human speech for thousands of customers, dozens of leading enterprises, and hundreds of thousands of developers around the world.

See our research

Our values

Our values drive everything we do at AssemblyAI and help cultivate a culture that is open and honest

Play to win

We’re here to build a market-leading, top 1% company. While we know it doesn’t happen overnight, we hold ourselves and our peers to this bar, and we seek to get better every day as we continue to build a winning product and service for our customers.

Deliver with craftsmanship

We strive to be excellent in everything that we do: the emails we write, the products we create, the artifacts we produce – everything. While we do operate with urgency and move quickly, we’re also proud of what we put out in the world, deeply care about the quality of our work, and sweat the details.

Be deeply curious

We are truth-seeking, always ready to dive into the raw materials at all levels, and are not afraid to ask the tough questions as we scratch a layer deeper in our search for clarity and to reduce ambiguity.

Operate with integrity

We have high expectations, but we also care deeply about each other and our customers. We strive to always assume good intentions, ask questions versus make assumptions, treat others with respect, be deeply thoughtful in our actions, and lift each other up.

Think long term

We are not afraid to quickly experiment, iterate, and learn as we pursue our long-term goals – but we do so intentionally and are not reactive. We aim to make thoughtful, long-term decisions over convenient ones. We operate with conviction and with resilience, and we embrace the ever-dynamic process of building a new company, especially in a new, evolving industry.

Solve for company first

We’re all on the same team – AssemblyAI. Regardless of the department or team we work in, we recognize that as a startup, individual and team success comes as a byproduct of AssemblyAI’s success. We are collaborative with our colleagues, transparent with our work, and always strive to do what’s best for AssemblyAI over ourselves or our team.

Our leadership

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Dylan Fox

CEO

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Jessi Waters

COO

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Christy Roach

VP, Marketing

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Takuya Yoshioka

Director of Research

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Travis Kupsche

Director of Engineering

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Eric Jensen

Head of Sales

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Ryan Seams

Head of Customer Success

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Nicholas Johnson

Head of Finance

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Meghan Colón

Head of People

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Dan Pincus

Head of Legal, Compliance and IT

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Matthew Bishop

Head of Business Operations

History

AssemblyAI first started in 2017 with a shared vision to create new, superhuman Speech AI models that will be able to unlock an entirely new class of applications and products to be built leveraging voice data. Since then, our technology has been widely deployed to millions of end-users.

Latest news

Blue background with AssemblyAI logo and text that reads '$50M Series C'

12.04.23

Announcing our $50M Series C to build superhuman Speech AI models

We're excited to share that we’ve raised $50M in Series C funding led by Accel, our partners that also led our Series A, with participation from Keith Block and Smith Point Capital, Insight Partners, Daniel Gross and Nat Friedman, and Y Combinator.

Backed by

Careers

Leaders in Speech AI research

We believe the best way to continue to innovate is to bring together some of the best minds in AI across different fields, expertise, and backgrounds. Join our team of interdisciplinary research leaders, scientists, and engineers working to advance the state-of-the-art in AI models for voice data.