For decades, the global food industry flew blind. Scattered data. Slow lab testing. Pure intuition. That’s how companies tackled everything from product formulation to food allergies. AI was already transforming finance and healthcare. But hardly anyone believed it could actually change how food companies built products or understood ingredients. Investors stayed cautious. And for a Black woman founder pushing food tech forward? The challenges went way beyond just the technology.
Riana Lynn saw something different. She imagined an AI platform capable of crunching billions of data points. The goal was simple: help companies build safer, healthier, and more sustainable products at speed. That vision sparked Journey Foods.
Today, the company boasts one of the world’s largest food intelligence datasets. It serves customers in 122 countries. It generated over $340,000 in revenue from its own Journey Bites line. It has also raised approximately $5 million in funding. What began as a wildly overlooked idea is now reshaping how AI operates in one of the planet’s biggest industries.
The $340,000 Product She Chose to Kill
Developing new food products used to be painfully slow. It demanded endless physical testing. Lynn noted that some companies conducted as many as 80 formulation trials to develop a single high-protein chocolate-chip cookie. Big multinational manufacturers could swallow those costs. Smaller companies? Not a chance.
Then came the technical skepticism. Food scientists initially insisted that parts of the Journey Foods concept were simply impossible. Ironically, Lynn faced way more resistance to her AI pitch than founders with far less technical knowledge ever did. This was despite Journey Foods already holding a patent on a neural network.
Shutting down Journey Bites was a massive gamble. It already had customers. A distribution network. Real revenue. Killing it meant walking away from over $340,000 in proven sales, retail momentum, and hard-earned brand recognition. Lynn was trading a tangible product people could actually buy for enterprise software. And she did this before generative AI even became a mainstream investment buzzword.
But Lynn viewed Journey Bites differently. It was a vehicle. A way to push Journey Foods’ formulation data and methods into the real marketplace. Once that was done, she scrapped the product. She drafted an early paper outlining how generative AI could reshape food formulation.. Then, she poured resources into databases, software workflows, and intellectual property covering nutrition, cost, sustainability, ingredients, and sourcing.
The payoff was real. Journey Foods secured US Patent 11,521,734 for its neural-network-based recipe generation. Filed in May 2021. Granted on December 6, 2022. Inventors: Lynn and Carol Schmitz.
In 2024, Journey Foods announced a $5 million funding round. Backers included Ascend, Capital Factory, Backstage Capital, SOSV, Chloe Capital, and Springtime. Today, its corporate profile is staggering. It operates in 122 countries. It tracks over 60 billion data points. It connects with 22,000 suppliers.
Three Rules Behind the Pivot
Test the system with a real product.
Before turning a process into software, you have to test it in a live, operating business. Customers, costs, production hiccups, and outright failures provide the only proof that matters. Lynn put it simply: “I was able to test our data and methodologies early on with a real market product, Journey Bites.”
Journey Bites wasn’t just a snack line. It was a controlled sandbox. A place to stress-test ingredient combinations, nutrition data, production assumptions, and consumer demand long before Journey Foods ever pivoted to B2B software.
Measure Innovation by the Number of Trials Eliminated.
Don’t pitch AI as a shiny tech novelty. Tie it to a concrete, achievable outcome. Fewer trials. Lower development costs. A faster route to market.
“And our goal is to get that down to two trials,” she noted.
The old way demanded around 80 trials. Journey Foods aimed for just two. That framing changes everything. It positions the platform as a ruthless engine for operational speed and cost savings, rather than just another speculative AI toy.
Stop Scaling the Product When the System Is More Valuable
When a product actually makes money, you have to ask a simple question. What can scale? The product itself? The data behind it? Or the system used to create it?
For Lynn, the answer led to a bold move.
“But at that point we decided courageously,” she said. “We closed it down.”
Instead of throwing more capital at inventory, flavours, or retail distribution, Journey Foods pivoted. They shifted their resources entirely toward enterprise workflows, integrations, supplier intelligence, and intellectual property.
The Rejection That Became a Validation System
Food scientists told Lynn what couldn’t be done. Her response was purely procedural. She stopped trying to persuade them. Instead, she built layer after layer of evidence.
Journey Bites became the market test for this methodology. Customer pilots ran the formulation trials. A patent locked down the technical method. Soon, information from suppliers, nutrition scientists, and the commercial team morphed into an ever-growing data asset.
The real shift was huge. They swapped out expert approval as the main validation tool. In its place? Step-by-step proof. Market test results. Operating metrics. Proprietary data. Defensible intellectual property.
The Capital and Access Network Behind Journey Foods
The investor lineup is impressive. Ascend. Capital Factory. Backstage Capital. SOSV. Chloe Capital. Springtime.
Chloe Capital alone dropped $100,000 into the business. They picked Journey Foods out of a women-led founder program that saw 1,500 applications. Google for Startups also tapped them for their 2021 Black Founders Fund. That cohort received $100,000 each, plus potential ad credits, cloud resources, and product support.
Strategic access mattered just as much.
Before Journey Foods, Lynn was an entrepreneur-in-residence at Google. She also served as a director at Cleveland Avenue, the investment firm started by former McDonald’s CEO Don Thompson. Those roles opened doors. She gained direct access to startup talent, institutional investors, enterprise food companies, and operators across the entire food supply chain.
This network gives Journey Foods four specific types of leverage:
- Access to enterprise customers.
- Specialist food-science talent.
- Investor credibility.
- Supplier intelligence.
But here’s the thing. The company’s defensible advantage isn’t just about who Lynn knows. It’s about how those relationships actively expand the platform’s data coverage and commercial distribution.
Turn One Repeated Decision Into a Data Asset
Think about the most costly decision your organization makes on repeat. Maybe it’s choosing a supplier. Deciding on a formulation. Setting prices. Hiring. Or approving a campaign.
Pick one.
For the next 30 days, track everything. Every input. Every option considered. Every final decision, the result, and any delays. Before you even think about bringing in an AI platform, build a searchable database. Then set one specific goal. Can this database cut the decision cycle by at least 50%?
Lynn’s approach flips the script. Companies shouldn’t start by asking, “Where can we use AI?”
That’s the wrong question. Ask this instead: “Which decisions that we make repeatedly generate enough structured information to become actual infrastructure?”