News

Unwrap raises $12M to help scaled companies build products people love

Read why the co-founders of Unwrap decided to build the future of customer intelligence, and what's next for the industry-leading company.

Ryan Millner
Jan 22, 2025

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Key Insights

  • Unwrap.ai's founding insight is that NLP applied to customer feedback gives PMs 10x better visibility into user needs than intuition-driven roadmap decisions
  • Unwrap.ai carries $12M in Series A led by Scale VP, joined by Atlassian Ventures and strategic investors including Stripe's former CTO, Perplexity's co-founder, and HubSpot's SVP
  • Lyft, JetBlue, GitHub, Oura, Perplexity, and Microsoft use Unwrap.ai to surface patterns across support tickets, social media, and product reviews without manual review
  • The $12M raise funds team expansion for builders across software, hardware, retail, and adjacent industries that share the same feedback-to-roadmap problem
  • Unwrap.ai connects users to product builders so feedback reaches the roadmap quickly, reducing the gap between what users experience and what teams decide to fix

Have you ever grown frustrated when using a product? A button you need to click isn’t clicking, or something that should take you 10 seconds takes 10 minutes? 

Of course you have—we all have. And I’ll bet you’ve had this experience both with products you have to use and the ones you love to use. Adding to your frustration, there’s no easy way to talk to the people building this product. So, your frustration quietly builds and builds. 

Meanwhile, the people building the product are scratching their heads wondering why engagement drops, or why you leave for a competitor’s product.

You’re not alone—this exact occurrence is shared by millions of others. And this is the human experience we’re changing at Unwrap. 

My co-founder Ashwin and I have spent years on both sides of this dilemma—as frustrated users, and as frustrated builders hoping to better understand our users. While working at Amazon, fueling Alexa with more knowledge, our frustration reached a tipping point. 

We knew that our users were speaking to us, telling us what they loved (and didn’t love) across social media, support channels, and reviews. But we simply couldn’t properly listen. Even though understanding our users was the most important part of our job, we didn’t have the time or resources to aggregate this data and read hundreds of thousands of weekly anecdotes. 

So when it came time to shape Alexa’s roadmap, deciding what features shipped and which didn’t, what did we do? We relied on intuition (something a lot of PMs today can relate to)! 

The problem is, intuition is riddled with bias—recency bias, bias for features we personally would use, bias for features that would get us promoted, etc. With a roadmap that didn’t fully align to customer needs, engagement didn’t take off like we’d hoped and users remained frustrated.

Cue the lightbulb moment. 

What if we took this technology we knew so well called Natural Language Processing, a form of AI that powered Alexa, and pointed it at customer feedback? We’d have the ability to ‘read’ all of this customer feedback every day! 

So that’s exactly what we did. We built a prototype, which allowed PMs to instantly understand their customer needs 10x better than ever before. After seeing hundreds of people’s eyes light up during our demo, we decided to leave Amazon to help builders across all industries solve this problem. We’ve been pouring our hearts into this problem every day since.

Today, Ashwin and I are beyond excited to announce our $12M Series A. 

This raise means we can double down on our recent success and continue solving this problem for builders across multiple industries: software, hardware, retail, and everything in between. This round is led by Scale VP, and we’re thrilled to welcome Rory O’Driscoll (Box.com, Bill.com, DocuSign, etc.) to our board. 

We’re also excited to have Atlassian Ventures join the round, along with strategic investments from David Singleton (former CTO of Stripe), Johnny Ho (Perplexity co-founder), Karen Ng (SVP at Hubspot), Tyler Schleich (SVP at Oura), and others. Finally, we’re excited to deepen our partnership with our previous investors who are a huge part of why we’ve made it this far–Cercano, ScOp, and AI2. 

We’ll use this capital to double down on our greatest asset today—our team. We have multiple roles open across engineering, sales, and marketing. If the problem we’re solving frustrates you and you’re excited by the opportunity to work alongside smart, hard-working people on state-of-the-art AI, we’d love to speak with you. Send your resume to jobs@unwrap.ai and I’ll personally take a look.

Thank you to our customers—Perplexity, Lyft, JetBlue, Github, Oura, Microsoft, Sunrun, and many more—for your initial trust in us to solve this problem, and for all of the extremely valuable feedback you’ve shared with us along the way. 

We’re just getting started, and we can’t wait to show you what’s launching soon. If you’re a PM or CX leader and want to learn how we solve this problem, reach out to us below.

We’re on a mission to fill the world with products people love. By connecting users with builders, the products you use every day will get better faster, and bring you joy with every use. We’re grateful for the opportunity to solve such a broad, long-standing problem. Let’s get to work!

Check out our article in Fortune to learn more!

Frequently Asked Questions

How did the founders' experience at Amazon lead to Unwrap.ai?

Unwrap.ai's origin is a direct result of Ryan Millner and Ashwin Singhania's experience building Amazon Alexa, where they watched product managers struggle to process hundreds of thousands of weekly customer anecdotes across social media, support channels, and reviews. They recognized that the NLP technology powering Alexa could be redirected at customer feedback data, replacing intuition-based roadmapping with structured pattern detection.

Why does intuition-driven product roadmapping fail?

Intuition-driven roadmapping is a biased process that consistently misaligns product decisions with actual user needs. PMs default to recency bias, personal preference for features they would use themselves, and bias toward features that aid their own promotion. Unwrap.ai's founders observed this pattern at Amazon while building Alexa and designed their platform to replace intuition with NLP-analyzed customer feedback.

How did Unwrap.ai's founders validate their product idea?

Unwrap.ai's validation came from a prototype that pointed Alexa's NLP technology at customer feedback data. When the founders demonstrated this prototype to product managers, the reaction confirmed the need: PMs who had spent years guessing at priorities could suddenly see structured patterns across thousands of customer signals. After hundreds of demos produced the same response, the founders left Amazon to build Unwrap.ai full-time.

Ryan Millner

Co-founder & CEO
ABOUT THE AUTHOR

Ryan Millner is the Co-founder and CEO of Unwrap.ai, where he drives strategy, fundraising, and vision for the AI-powered customer intelligence platform.

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