AI-driven labor marketplace and agent platform for industrial supply chains
Traba runs a staffing marketplace that matches workers to manufacturing and logistics shifts, and is now building AI agents to automate supply chain workflows. The stack pairs TypeScript, React Native and Python with Kafka and RabbitMQ for event-driven matching, while hiring is accelerating and weighted toward product and ops over sales, a sign of an operations-heavy marketplace scaling liquidity before expanding go-to-market.
Notable leadership hires: Head of Operations
Traba is a New York City-based, privately held company founded in 2021 with 51–200 employees. It provides contingent labor to manufacturing and logistics businesses through a marketplace that handles worker vetting, onboarding, scheduling and shift matching. The company is extending that marketplace into an AI operating layer for industrial supply chain workflows. Its platform runs on TypeScript, Node.js, Python and PostgreSQL on GCP, with Stripe for payments and NetSuite and QuickBooks on the finance side. Hiring is concentrated in the United States.
Traba builds with TypeScript, React, React Native, Node.js and Python on PostgreSQL and GCP, using Kafka, RabbitMQ and Redis for messaging, Datadog for monitoring, and dbt, Looker and Tableau for analytics.
Traba is building agentic AI systems for supply chain workflows, including workflow orchestration agents, an autonomous worker vetting pipeline, real-time worker matching, and improved onboarding and scheduling.
Yes. Traba's hiring is accelerating, concentrated in the United States and led by product and operations roles, with engineering next and a Head of Operations among leadership openings.
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Traba's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.