Design That Drives Product Revenue for AI Startups
Rapid, metric-driven design for founders building AI/ML products. From concept to market-ready in weeks, not months.
Most design agencies optimize for aesthetics. We optimize for traction. Poplab partners with AI-first startup founders to design products that acquire users, accelerate retention, and drive revenue—by compressing design cycles from months to weeks.
Rapid Iteration
Design sprints fit your product roadmap, not agency timelines. Prototype and validate in 5 days. Iterate, launch, and learn faster.
Metric-driven Design
We optimize for activation, conversion, and retention—not just aesthetics. Every design decision is mapped to your product and business KPIs.
Founder-first Partner
Built by founders, for founders.
Fluent in user psychology, unit economics, GTM velocity, and revenue design.
We embed with your internal team, not just deliver a deck.

CASE STUDY
Driving Growth with Design & AI: Inside the Aeonvis Digital Transformation

CASE STUDY
Democratizing Art Commerce: LettsArt’s Disruptive Platform Design

CASE STUDY
Jot’s AI-First Diary: Revolutionizing How the Next Generation Journals

CASE STUDY
Product Excellence for Newsrooms: Where Design Leads Innovation
Trusted by AI startup founders & design leaders at product-led SaaS companies
The brands and organizations we’re privileged to work with.
AI Startup Design Blog
- Google Just Bought Your Agent Strategy Window
Google’s new $750M agentic AI partner fund isn’t “just enterprise news.” It’s a timer on how long startups can win with generic agents instead of owning real workflows. - Your AI Product’s Onboarding Is Killing Your Retention Before It Starts
The activation window for AI products has compressed to under 60 seconds. If your onboarding still looks like a SaaS tutorial from 2021, you are not losing users to competitors — you are losing them to a blank screen. - Why Your AI Feature Isn’t Getting Adopted (It’s Not the Model)
Your AI feature works. Your users don’t use it. The problem isn’t the model — it’s everything wrapped around it. Here’s the design gap that’s quietly killing AI feature adoption across the industry.
Ready to Compress Your Design Cycle?
Let’s talk about your roadmap and how rapid, metric-driven design can save 8-12 weeks of dev time.










