
Technology
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AI Infrastructure
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YC W26
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Valuation:
Undisclosed

Last Updated:
March 24, 2026

Helps teams train and deploy specialized AI models that outperform general, closed-source alternatives while being 10x faster and cheaper. Targets teams building AI agents where LLM calls are too slow, too expensive, or just not good enough.
Platform for training and deploying specialized models. Targets teams where LLM calls are too slow, too expensive, or not reliable enough. Helps move from general closed-source models to specialized alternatives that are 10x faster and cheaper.
Both founders previously worked at Replo (YC S21), giving strong YC network access. Bobby also has experience at Pirros (YC W23). Model fine-tuning and deployment market growing rapidly as companies shift from prototyping with frontier models to production with specialized ones.
AI-powered autonomous shipment tracking and proactive exception alerting across carriers and systems.
An AI agent watches every shipment like a hawk, automatically chasing updates from carriers and alerting your team only when something actually goes wrong.
It's like having a tireless intern who refreshes every carrier tracking page every five minutes, reads every email, and only taps you on the shoulder when the building is actually on fire.
Automated carrier vetting and compliance verification using AI-driven document analysis and risk scoring.
An AI agent reads, verifies, and scores every carrier's insurance, authority, and safety documents so your team doesn't have to play detective with PDFs.
It's like a bouncer at a nightclub who instantly checks every ID, calls the DMV to verify it's real, and only bothers the manager when someone shows up with a fake mustache.
Intelligent load building and quoting optimization using multi-agent reasoning over capacity, cost, and constraint data.
An AI agent figures out the best way to fill a truck and price a load by juggling dozens of constraints at once—faster and more accurately than a human planner.
It's like a Tetris grandmaster who also happens to be an economist—fitting every box perfectly while making sure you're not leaving money on the table.
Both founders shipped production LLM systems at Replo (YC S21), giving firsthand experience with the pain of using general-purpose models for specific use cases. Bobby Zhong (UCI CS dropout) has additional experience at Pirros (YC W23), providing depth in agentic architectures. Kurt Sharma (UC Berkeley EECS) brings strong technical foundations. Strong YC alumni network for distribution.