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Burt

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AI teammates for logistics

Winter 20262 peopleSan Francisco, CA, USA
AI insightcan contain mistakes
Freight Logistics AI AgentsSaaSFreight brokers and freight forwardersMedium competition
Moat
Freight-specific AI agent workflows; logistics domain expertise.
Key risk
Relationship-driven industry resistant to automation; competition from larger logistics platforms.
Why now
Freight margins under pressure; AI agents can automate carrier negotiations and load matching.
Competitors
Convoy, Flexport, Load Board software vendors, traditional brokers

About

We're building for the people that keep the world moving. Freight brokers and forwarders operate on razor-thin margins in a relationship-driven business — yet most of their teams spend the majority of their day on manual, repetitive work. We help freight brokers and forwarders build AI teammates that handle their repetitive, manual tasks so teams have time to focus on customers, carriers, and growing the business.

Founders · 2

Bobby Zhong
Bobby ZhongFounder

Co-Founder & CEO at Burt Studied CS at UCI before dropping to join Pirros (YC W23) as their 2nd engineer. Then joined Replo (YC S21) to build coding agents and wrangle LLMs. Grew up in a logistics family and now trying to help in the space.

Kurt Sharma
Kurt SharmaFounder
Berkeley

Co-Founder & CTO at Burt Studied EECS at UC Berkeley. Previously @ Replo (YC S21) building high-throughput data pipelines and sandboxed code manipulation systems. Now building AI teammates in logistics.

Launch

Launched on Y Combinator · Feb 2026
View launch post ↗

Build models that outperform general, closed source alternatives at a fraction of the cost and latency

Burt helps teams train and deploy specialized domain models that outperform general, closed-source options while offering significantly lower cost and latency. They provide end-to-end support—from data prep and evaluation to training and deployment—and showcase a case where a custom VLM is faster and more accurate than a high-end model.

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