The checkout page loads. A customer hesitates, recalculates shipping, maybe tabs over to compare prices elsewhere. Twenty-five seconds later—if the retailer is lucky—the sale goes through. More often, the cart sits abandoned.
It's a friction point that has plagued e-commerce since its inception, and one that Trinio, a Rio de Janeiro-based startup, believes it has cracked. On May 25, the company closed a R$32 million seed round (roughly $6.3 million), led by Mexico City's Hi Ventures, with backing from Activant, Caravela Capital, Latitud Ventures, and Gilgamesh Ventures. The capital will fuel expansion across Latin America and deepen the company's AI orchestration platform—software designed to make the entire omnichannel sales process less clunky.
Co-founders Theo Ribeiro and Pablo Staubli, who met as Wharton MBAs in Philadelphia, started Trinio in 2021 after watching Brazilian retailers struggle to knit together online storefronts, physical inventory, and last-mile logistics. Even as the pandemic pushed commerce online, the operational backend remained a patchwork of disconnected tools. "We kept seeing the same problems repeat," Ribeiro said in a statement around the funding. The pair assembled a team of roughly 40, most of them engineers and product developers, and set about building what they call TrinioOS.
More Than a Checkout Widget
What Trinio offers isn't just a smoother payment page. The platform bundles headless checkout (meaning it can plug into any front-end design), order management, fulfillment routing, and ship-from-store logistics into a single orchestration layer. On top of that infrastructure sit four AI agents—software modules that analyze data streams and either suggest or autonomously execute decisions about where to route an order, how to allocate inventory, or when to flag a bottleneck in the system.
There's a Checkout Agent that surfaces conversion insights. A Fulfillment Agent that recommends operational tweaks. An Order Manager Agent that handles reallocation when, say, a warehouse runs low on stock but a nearby store has inventory. And a Store Ops Agent for coordinating pick-and-pack workflows when customers opt for in-store pickup or curbside delivery.
The company claims its system trims about 25 seconds off checkout times and lifts conversion rates by 10 to 15 percent, with operational and logistics costs dropping by 5 to 15 percent. In one case study, Trinio's Checkout OS reportedly achieved a 61.3 percent conversion rate, compared to 54.2 percent on a retailer's native checkout—a meaningful jump in an industry where a single percentage point can translate to millions in revenue. According to the company, more than R$3 billion in gross merchandise value flows through its platform annually, though that figure wasn't independently verified.
A Client List That Reads Like a Who's Who of Brazilian Retail
Trinio's traction is real. Coverage in Exame and Startups.com.br on May 25 noted the company serves over 50 enterprise clients in Brazil, including household names like Vivara (jewelry), Osklen and Reserva (fashion), Asics (sportswear), Casa & Video (home goods), and Polishop (direct-to-consumer retail). LinkedIn posts from May 2026 highlighted new partnerships with Luz da Lua, which operates more than 130 stores, and Anne Fernandes, which runs north of 400 retail locations.
Growth has been steep, if not entirely linear. One source cited an eightfold revenue increase between 2024 and 2025; another described the company's operations expanding 20-fold in 2024 and sixfold in 2025. (The discrepancy in metrics reflects that operational growth and revenue increase refer to two different measures—gross merchandise volume versus net revenue, perhaps.) The company is targeting breakeven by early 2027 and expects to grow five- to sevenfold over the next year, an ambitious forecast even by startup standards.
Expansion Northward—and the Challenges Ahead
The fresh funding will support product development, particularly around those AI agents, and bankroll expansion into Mexico and Colombia. Hi Ventures, which previously backed Cornershop (acquired by Uber in 2021), is expected to help Trinio navigate Mexico's retail landscape. The firm bills itself as a "founder co-pilot," though what that means in practice varies investor to investor.
The syndicate backing Trinio reflects broader confidence in AI-enabled commerce infrastructure. Activant, a growth investor with a thesis centered on logistics and commerce tools, joined the round alongside Brazil-focused Caravela Capital, LatAm specialist Latitud Ventures, and fintech-oriented Gilgamesh Ventures. The interest isn't isolated: In February 2026, Australia's Fluent Commerce raised A$46 million from Bain Capital for its order management system, signaling that institutional capital sees this category as ripe.
Trinio's timing also tracks with what some in the industry are calling "agentic commerce"—AI systems that don't just offer suggestions but actually execute tasks. Visa launched its Agentic Ready program in March 2026, preparing payment networks for transactions initiated by software agents. Coverage from VTEX Day 2026 and the National Retail Federation's annual conference emphasized a shift from AI pilots to operational deployment, the kind where software makes real-time decisions about inventory, pricing, and fulfillment without waiting for a human to click "approve."
Whether Trinio can replicate its Brazilian success in Mexico and Colombia is an open question. Regulatory environments differ, retailer infrastructure varies widely, and local competitors may already have entrenched relationships. Mexico's retail market is larger but more fragmented; Colombia's is smaller but growing fast. The company will also face the classic challenge of scaling operations while maintaining the service quality that landed those first 50 clients.
Still, Trinio enters this next phase with something many startups lack: traction. Fifty-plus enterprise customers, billions in transaction volume, and a product addressing tangible operational pain points—checkout abandonment, fulfillment inefficiency, order routing chaos. That's not a guarantee of success, but it's a stronger foundation than a pitch deck and a prototype.
The question now is whether the AI agents Trinio has trained on Brazilian retail data can learn fast enough to navigate new markets. Or whether, like many a well-funded startup before it, the company will discover that geography matters more than the founders hoped.
