As we've scaled up AI deployments with customers over the past year, we've built up a large supply chain dataset across a multitude of use-cases, from semiconductors and GPUs to frozen foods and chemicals.
Pallet Labs was started for two reasons:
1. Advance the frontier of AI research in supply chain and provide our customers with access to the most performant models using their own data.
2. Develop a deep understanding of supply chain economics across the world.
Excited for all the work being done here!
Today, we're introducing Pallet Labs, the home for applied AI research at @trypallet.
Supply chain is a network of business contracts, technical know-how, economics, and physical operations. Working with some of the world's largest enterprises gives us a unique opportunity to study problems and proprietary datasets that don't exist in the public domain.
We've always believed that the biggest breakthroughs come from making ambitious bets years before they're obvious. One of our earliest bets was training our own models. Today, those models are live with multiple customers.
We've brought together AI researchers and economists from Ramp, Scale AI, Stanford University, Columbia University, and Duke University to tackle frontier problems and ultimately build systems that expand the world's productive capacity.
We're hiring. DM us if you'd like to join our team.
Today we're launching @Pallet Custom Models, giving every supply chain team true ownership of its AI: agents, models, and hardware. Customers get better outcomes at lower price.
ROI is important, but so is sovereignty. The proprietary knowledge behind every company's better service, higher margins, and lasting enterprise value should remain uniquely theirs.
Massive unlock for @TryPallet with customers across the world who care about making su e their data remains their own!
We're scaling our teams across research, engineering, and deployments. If you're interested in building with the best team in the supply chain space, join us!
Today, we're introducing @trypallet Custom Models, giving every supply chain company enterprise sovereignty over its AI.
Frontier models are powerful, but production workflows require repeated model calls, driving up costs as context and volume grow while exposing your proprietary knowledge. You pay for every token processed, not outcomes achieved.
Custom Models are trained exclusively on your operation, deployed on infrastructure you control, and never shared externally. The result is AI that's more accurate, private, and cost-efficient.
Huge! @TryPallet can now deploy agents into enterprises that missed the Cloud wave but don't want to miss the AI wave.
Been a busy day for @SushanthRaman in the customer inbound department :)
Announcing AS/400 support for @trypallet AI agents.
One of the biggest barriers to applying AI in logistics is access to on-prem legacy systems of record. Our agents can now operate in AS/400 systems, handling everything from order entry, lookups, updates, appointment scheduling, BOL processing, invoice coding, and more.
Since our Series B in May, we’ve been busy:
- CoPallet is smarter than ever with Deep Reasoning 🧠 It’s the only AI that learns rules, checks its own work, and improves over time.
- We’re going mainstream: Our first commercial is hitting TVs across the country.
- Featured on great shows including @FWwhatthetruck WHAT THE TRUCK?!?, @freightcaviar, @FreightWaves, and @tbpn
- Signed 3 new customers in a single day, the first of many hat tricks 🎩
We gave Claude access to our corporate QuickBooks. It committed accounting fraud.
LLMs are on the verge of replacing data scientists and investment bankers. But can they perform simple accounting tasks for a real business?
The answer is no.
We ran weekly poker at Scale for 2 years until we got shut down due to optics. @russelljkaplan mentioned to @alexandr_wang that the game had been shut down, and Alex responded "that's dumb, we should bring it back." We had 4 tables the next week.
Alex's been my 🐐 ever since