Business

SamBoat Makes Waves in the US

Published

2 years ago

May 24, 2023

The sharing economy’s massive popularity has led to the creation of blockbuster companies like Airbnb, VRBO, eBay, Uber, and Lyft, to name just a few. According to a report by Proficient Market Insights, the size of the sharing economy was $113 billion in 2021 and is predicted to reach $600 billion by 2027.

One of the newest companies to enter this space, SamBoat, now enables the owners of sailboats and motorboats to offer their vessels for rent. Because yachts are expensive to buyand maintain — in many cases, more expensive than purchasing and maintaining a home — yacht owners can offset some of their costs by listing their craft on the platform.

Those who may not be able to afford their own boat can still experience life on the water, however. No knowledge of boating is required, as many charters include the possibility of hiring a skipper.

The inspiration for SamBoat

When young French entrepreneurs Laurent Calando and Nicolas Cargou met, a friendship, as well as a new venture, was born. Cargou was an avid Airbnb user, and Calando had grown up sailing with his family. Throughout the course of their conversation, they realized that the sharing economy covered a lot of bases, but it didn’t include boating, which they were both passionate about.

The pair sensed an opportunity, which quickly led to action. In April 2014, they officially launched SamBoat in the Bordeaux region of France.

“SamBoat’s marketplace exploded in Europe over the next few years,” explains Robert Harrington, SamBoat’s US Country Manager. The company offers yachts throughout the Mediterranean, Aegean, and other popular travel destinations.

As evidence of the popularity of the boat-sharing model, SamBoat grew by over 70 percent in 2022. Since its founding, the company has enabled more than a million people to take to the seas. Now, the platform is rapidly expanding its listings throughout the US.

Where SamBoat operates in the US

SamBoat has already — albeit indirectly — served its American customers for quite some time, as American vacationers have often rented boats in Greece, France, Italy, or Spain through its platform. But now, the company is beginning to serve Americans on the other side of the Atlantic, right here at home.

SamBoat rentals are currently available in many American ports. The marketplace currently offers hundreds of boats just in the state of Florida, where the fleet extends up the Keys to West Palm Beach, and throughout the west coast, including Tampa, Clearwater, Naples, and Ft. Myers. SamBoat also has many boats in Chicago and Seattle, as well as throughout New England.

In the near future, the company will expand its offerings in San Diego and Los Angeles. SamBoat also plans to open in Lake Tahoe, Lake of the Ozarks, Lake Havasu, and Lake Champlain by mid-summer 2023. It also aims to have fleets available in Martha’s Vineyard and Nantucket by the same time.

“Our goal is to offer thousands of boats to rent throughout the United States by the end of the year,” Harrington says.

How SamBoat expands

SamBoat operates anywhere boat owners choose to list their craft for rent. “Just because the marketplace might not already have a whole regatta in a given port doesn’t mean it can’t or doesn’t operate there,” Harrington says. “Listings grow organically, cropping up wherever opportunity calls boat owners to take advantage of existing demand.”

For instance, while SamBoat only officially launched in the United States this past year, the platform was open to US-based boat owners and renters last year. From January 2022 compared to January 2023, the platform experienced a 500% increase in US-based business.

This means that, if you own a boat, you can bring SamBoat to your home port. All you have to do is go to SamBoat’s website, follow a few simple steps, upload photos of your boat along with its relevant details, and respond to rental inquiries.

“Now is the right time for boat owners to get in early and beat the rush,” Harrington says.

The secret to SamBoat’s success

American consumers have responded enthusiastically to SamBoat’s arrival for a number of reasons. First and foremost, the platform offers the very same boats as other companies, yet their prices are on average 10 percent cheaper.

The reason for this is simple: unlike most other yacht and boat rental services, SamBoat doesn’t charge its customers inflated “junk” fees.

In addition, SamBoat makes renting a yacht simple and easy. Generally speaking, other boat-sharing websites outsource customer service to the owners of the listed yachts. They will only answer the phone or attend to you if you are booking something of a high dollar amount, while the average boat rental costs under $1,000. This can lead to a very frustrating process for someone who has questions but can’t seem to get a response from a boat’s owner.

At SamBoat, however, a real human being answers every inquiry. “Sometimes, that person is me,” Harrington says. This makes it much easier for people to rent the perfect boat that will meet their individual needs.

SamBoat fulfills a long-awaited need for sailing and boating enthusiasts worldwide. With the arrival of SamBoat in the US, it’s an even more exciting time for Americans to participate in the sharing economy.

Business

MetaWorx: Building Full-Stack AI Teams, Not Just Automation

Published

6 days ago

June 6, 2025

Matthew Wiles

Automation still dominates most headlines, yet the returns often fail to meet expectations. A sprawling chatbot rollout might shave a few support tickets, but it rarely shifts the profit-and-loss statement in a lasting way.

McKinsey’s 2025 workplace survey pegs AI’s long-term productivity upside at $4.4 trillion, but only one percent of enterprises say they’ve reached true “AI maturity.” MetaWorx, a Dallas, Texas-based AI employee agency founded by Rachel Kite, argues that the shortfall has nothing to do with models and everything to do with people.

“Treat AI like a point solution and you’ll get point-solution results,” shares Kite. “You need a roster that can carry the ball from raw data to governance, or the whole thing stalls at the proof-of-concept phase.”

The pod blueprint

When a plug-and-play automation script collapsed under real-world data drift, costing Kite a lucrative contract, she sketched the six-person “pod” that now anchors every MetaWorx engagement:

An infrastructure architect to tame compute costs.
A data engineer to secure and shape pipelines.
An applied scientist to prototype models against live feedback loops.
An MLOps engineer to automate rollback and retraining.
A domain product lead translates forecasts into features users actually notice.
Ethics and compliance analysts to stress test outputs for bias and keep the audit.

The team’s first sprint still delivers a quick-win bot — “small enough to calm the CFO,” jokes Kite — but the roadmap quickly pivots to reliability, explainability, and eventually optimization. By tying every algorithmic decision to a quantifiable business metric, the pods turn AI from a science project into a growth lever.

Recruiting for curiosity, not credentials

With Bain & Company predicting a global AI-skills crunch through 2027, MetaWorx has stopped chasing unicorn résumés. Instead, it hires “adjacent athletes”: a computer-vision PhD who hops from medical imaging to warehouse surveillance, or a former journalist who recasts her nose for story into prompt-engineering finesse.

“Domain expertise expires fast,” Kite says. “What doesn’t expire is the instinct to ask better questions.” The result is a lattice of overlapping skills that stays flexible when models wander into the long tail of edge-case data.

A culture of rapid experiments

Inside MetaWorx, every idea faces the same litmus test: ship something — anything — into a user’s hands within 21 days. The “three-week rule” forces prototypes into the wild early, where failure is cheap and feedback is swift. Post-mortems, including cost overruns, are circulated company-wide, erasing any stigma associated with missteps.

That laboratory mindset powers velocity. “Our first model is almost always wrong,” Kite admits, “but version 1.0 is the tuition we pay for version 2.0.” The philosophy echoes her TEDx talk on resilience: progress is iterative, not heroic.

How leaders can steal the playbook

Executives itching to replicate MetaWorx’s results don’t need a blank check. Kite offers a five-step sequence:

Inventory pain points, not tools: Walk the P&L line by line and tag the friction you can measure.

Map the stack to the problem: A recommendation engine, for instance, requires behavior data, retraining triggers, and feedback capture — automation alone won’t suffice.

Stand up a pod: Reassign existing talent into a cross-functional tiger team before hiring externally; the chemistry test is free.

Measure the story, not just the statistic: Pair model accuracy with human-scale metrics like ticket backlog or employee churn.

Budget for the boring: Reserve at least 30 percent of spend for MLOps and governance; Stanford’s HAI review links most AI failures to neglected upkeep.

Taken together, those steps shift AI from a pilot novelty to an operational habit that compounds value rather than topping out after an initial PR splash.

Character still scales faster than code

MetaWorx plans to double its headcount this year, yet Kite insists the secret isn’t a proprietary framework or a monster war chest. It’s credibility. Clients see a founder who has wrestled with the same outages and surprise bills they face. That authenticity converts skeptics faster than any algorithmic novelty.

“Tools level out,” Kite says. “Culture compounds.”

The insight lands in a marketplace still dazzled by generative fireworks. Yes, MetaWorx ships models and dashboards, but its true product is a mindset: resilience over rigidity, questions over credentials, experiments over edicts. In Kite’s world, automation is merely the appetizer. The main course is a full-stack team that knows why the model matters to the business and who owns its success after launch day.

And that, Kite argues, is how AI finally graduates from cost-cutter to growth engine, one curious pod at a time.