On the TechTO stage ×3
Rocketship Nominee: Voiceflow
Watch on YouTube ↗Building something for everyone | Braden Ream of Voiceflow
Watch on YouTube ↗TechTO Raise of the Month | Voiceflow
Watch on YouTube ↗First seen on the TechTO stage in 2019. Every talk is searchable — ask the archive about Braden ↗
In their words
We thought, well, there must be a better way — like, there must be a Figma for conversational AI. And there wasn't.
It really starts to become a management problem and not just a build problem... we really think of ourselves as an agent management platform.
The vision is really to be almost like what Shopify did for e-commerce — we want to do that for agents.
platforms are toolkits, Point Solutions solve problems
just because you have a powerful platform means it actually gets harder to use — great product design can shrink that tradeoff
you need to essentially build your business in concentric circles — go after one use case, stop, build the business, be able to take on more capital, gain more traction, next use case
when you're not raising money you're able to have conversations you're able to build relationships you're able to talk to people casually and get them excited about your business that's actually the best time to raise
the best way to do a pitch is to not pitch it's actually just to build a relationship with the VC
I should be turning that weakness into a strength if market timing is your constant red flag and make them think it's actually your biggest strength
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Quick answers
How did Voiceflow get started?
In 2018, Braden and his co-founders were in college and had just gotten an Alexa. Building Alexa skills, they found the developer experience bad — teams (even inside Amazon) collaborated via spreadsheets, flowcharts, and Word docs. They built Voiceflow as an internal tool for about a year, then made it the real product in 2019.
Who uses Voiceflow today?
Just under 4,000 customers, including Fortune 500 companies like JP Morgan and Home Depot. PE fund Trilogy built a central agent framework on Voiceflow: 90+ agents automating 90 products with a team of four or five people, saving over $400,000 on customer support in its first 12 weeks.
Where does Braden see the AI agent market heading?
He believes the zero-to-one problem of building an agent is being solved — what once took hundreds of people and a custom NLU model now takes minutes. The real challenge becomes managing thousands of agents across an enterprise: permissions, tools, reusable components, prompt libraries, and A/B testing.



