TrackChain —AI-native logistics OS for autonomous freight execution.

We envision a future where supply chains are fully transparent, resilient, and adaptive, dissolving the traditional barriers of information silos to enable seamless, ethical, and efficient global commerce. By harnessing the power of AI, blockchain, and IoT, we are building a logistics ecosystem that anticipates disruptions and empowers every participant—from growers to retailers—with verifiable data and actionable insights.

Our mission is to transform freight and supply chain operations through an AI-native operating system that automates and optimizes complex transport functions end-to-end. By merging advanced AI agents with distributed ledger technology and real-time sensing, we create a platform that not only drives resource efficiency and sustainability but also enforces accountability and transparency across every step of the product lifecycle.

TrackChain exists to redefine how logistics networks operate in the 21st century, creating a connected, intelligent supply ecosystem that supports resilient businesses and promotes sustainability on a global scale. Our innovative approach reflects a deep commitment to leveraging technology for meaningful impact and forging a future where supply chains are smarter, fairer, and more responsive than ever before.

We've been tracking TrackChain since their Y Combinator days, and what started as another "AI for logistics" pitch has evolved into something genuinely impressive. This San Francisco startup isn't just slapping AI onto existing freight software—they've built what they call an "AI-native logistics OS" from the ground up, and the difference shows.

What Caught Our Attention

The founder story here matters. Eduardo Narvaez didn't just wake up one day and decide to disrupt logistics—he's got a decade of experience rooted in his family's transport business. That real-world foundation shows in how TrackChain approaches problems that actually plague freight managers, not just the ones that sound good in pitch decks.

Their AI agents handle everything from carrier procurement to freight auditing with what they claim is "zero training required." We're always skeptical of such bold promises, but early user feedback suggests they've actually delivered on the plug-and-play experience.

The Blockchain Twist

Here's where TrackChain gets interesting—they're not just another AI logistics play. They've woven blockchain into their platform for supply chain transparency and traceability. While many companies treat blockchain as a buzzword, TrackChain uses it strategically for immutable trade records and smart contract automation.

This combination of AI and distributed ledger tech creates what they call "adaptive, transparent supply ecosystems." It sounds fancy, but it translates to real benefits: better compliance, fraud prevention, and end-to-end visibility that most logistics platforms can't match.

Who Should Pay Attention

TrackChain seems purpose-built for mid-to-large shippers and 3PLs drowning in manual freight management. If you're spending hours on carrier procurement or struggling with shipment visibility across multiple providers, their autonomous execution model could be transformative.

The platform's focus on Latin American markets is particularly smart—it's a region where traditional logistics infrastructure often struggles, making AI-driven automation especially valuable. Their $5.7M revenue run rate suggests they've found genuine product-market fit in these challenging markets.

The Reality Check

While TrackChain's technology stack is impressive, we're watching how they scale beyond their current 20-person team. Building AI agents that work reliably across diverse freight scenarios is notoriously difficult, and maintaining that "zero training" promise as they add customers will be the real test.

That said, their Y Combinator backing and Silicon Valley-Latin America investor mix gives them the runway to iterate and improve. For logistics teams ready to embrace AI-first operations, TrackChain represents one of the more thoughtful approaches we've seen in this space.