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How NoScrubs Powers Lightning-Fast Laundry Growth with CamelAI

How NoScrubs Powers Lightning-Fast Laundry Growth with CamelAI

About NoScrubs

Based in Austin, Texas, NoScrubs is redefining laundry as a service. Founded in late 2024, the company has quickly become one of the fastest-growing on-demand laundry startups in the U.S. Their model is simple but powerful: pickup and delivery of clean, folded clothes in as little as four hours—“DoorDash for laundry.”

NoScrubs doesn’t own laundromats; instead, it leverages a network of under-utilized laundromats and apartment machines combined with gig-worker logistics. This asset-light approach lets them scale quickly and affordably while maintaining high quality. In April 2025, they raised a $2 million pre-seed round led by Initialized Capital, with early expansion into Houston and plans to reach nationwide scale by 2026.

With over 1,000 unique customers in Austin in just a few months, a lean team of about 13 employees, and deep operational expertise from leaders like Matt O’Connor (ex-Instacart) CEO and Sudhanshu Gautam CTO, NoScrubs is on a mission to turn laundry into a chore people never have to think about again.


The Challenge: Making Data Accessible Without Data Scientists

Like many fast-growing startups, NoScrubs needed reliable insights to keep pace with rapid scale. But with no dedicated data science team, extracting answers from their production database or across marketing and operations tools was time-consuming and inaccessible for non-engineers.

“We don't have any dedicated data scientists on the team, so creating and pulling queries for non-engineers can be daunting and time-consuming. Using Camel, our ops and marketing teams can easily pull the data they need without having to add tasks or wait for engineering.” — NoScrubs Team


Why NoScrubs Chose CamelAI

NoScrubs needed a platform that could:

  • Make data insights accessible for non-technical teammates.

  • Connect seamlessly to a variety of data sources (production replica, Stripe, PostHog, Google Ads, Meta Ads, Apple Ads, etc.).

  • Handle growing, evolving data relationships automatically.

CamelAI stood out because it could instantly model these relationships and provide a natural-language interface for every team member.

“Setup was smooth and easy. We just gave CamelAI access to our data warehouse and it automatically pulled a lot of context out of the database, which was awesome!”


Implementation & Everyday Use

The NoScrubs team started small, connecting just their production replica, and then gradually added marketing and finance sources. CamelAI now stitches these datasets together, answering questions across all of them.

They even keep CamelAI live on a big office TV, where teams can tinker with questions in real time:

  • Tracking growth
  • Cost management
  • Quality control
  • Product usage analytics

This has created a data-driven culture across the company—even for employees who had never written a SQL query before.


Trust, Accuracy, and Continuous Learning

Early on, the team learned that while CamelAI often “one-shots” new queries correctly, accuracy improves as they refine and ground truth results.

“The non-tech team often does some spot checking and flags it with the tech team if they think it is terribly off. The great thing is that Camel learns with every new query we run.”

This feedback loop has built confidence in CamelAI’s answers and reduced dependency on engineers for day-to-day reporting.


Results & Value

  • Self-serve analytics across marketing, operations, and finance.

  • Faster decision-making without bottlenecks on engineering.

  • Higher team engagement—everyone has access to the data they need.

  • Confidence to scale data operations alongside rapid business growth.

Compared to prior experiments with custom GPTs or ChatGPT query-writing helpers, CamelAI provided lasting value because it could continuously adapt to NoScrubs’ evolving schema and growing dataset.

“100% would recommend.” — NoScrubs Team


Spotlight: NoScrubs x CamelAI

Aspect Details
Industry On-demand laundry delivery
Founded 2024, Austin, TX
Funding $2M pre-seed (Initialized Capital)
Key Challenge Non-technical teams couldn’t access data easily
CamelAI Impact Self-serve insights for ops & marketing; integrated across multiple data sources
Favorite Feature Office-wide live data dashboard powered by CamelAI

Closing Thoughts

NoScrubs is a perfect example of a modern services startup: asset-light, tech-enabled, and laser-focused on customer experience. With CamelAI, their team can now operate at the speed of their business—turning data into answers without slowing down growth.

As they expand across Texas and beyond, CamelAI will continue to power the insights that help NoScrubs scale from a scrappy Austin startup into a household name for laundry delivery.


👉 Want to learn how CamelAI can help your team unlock insights without a data science team? Contact us for a demo.


Isabella Reed