Haladir

Active

Operational Superintelligence for Global Logistics

Winter 2026Founded 20254 peopleSan Francisco, CA, USA

www.haladir.com/ ↗LinkedIn ↗X ↗Crunchbase ↗

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AI insightcan contain mistakes

Supply Chain Optimization AISaaSLogistics and supply chain enterprisesMedium competition

Moat

Solver-grade optimization + ML + process intelligence across multiple systems creates hard-to-replicate advantage.

Key risk

Incumbent logistics software (JDA, Manhattan) may integrate similar optimization; customer churn if ROI unclear.

Why now

Supply chain disruption and labor costs are driving demand for autonomous decision-making in logistics.

Competitors

JDA, Manhattan Associates, Coupa

About

Haladir is the decisional AI layer for logistics. We sit on top of your WMS, TMS, OMS, etc., unify their data into one operational graph, and embed solver-grade optimization, ML models, and process intelligence into the decisions that power supply chains. Today's AI brought intelligence. The next frontier is judgement.

Founders · 4

Jibran HutchinsCo-founder & CEO

Carnegie Mellon🎓 Carnegie Mellon University

Co-founder & CEO @ Haladir | Carnegie Mellon University

LinkedIn ↗X ↗

Quan HuynhFounder

Cofounder @Haladir

LinkedIn ↗X ↗

Preston SchmittouFounder

Cofounder @ Haladir

LinkedIn ↗

Joseph TsoFounder

Princeton

Co-founder @ Haladir | CS @ Princeton

LinkedIn ↗X ↗

Launch

Launched on Y Combinator · Mar 2026

View launch post ↗

Combining formal solvers with LLMs to make AI reliable for high-stakes operational decisions

Haladir combines formal solvers with LLMs to make AI reliable for constrained systems, delivering verifiable, optimal decisions in logistics, supply chain, and manufacturing. It operates at training and application layers to enable routing, scheduling, and resource allocation within sensitive workflows.

B2B OperationsLogisticsSupply ChainData EngineeringOperationsAI

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