AI-powered global trade compliance and supply chain intelligence platform
Trademo builds AI-driven compliance and intelligence tools for international trade and supply chains. The tech stack—Python, PyTorch, TensorFlow, Hugging Face, LangChain, Kafka, Spark, Airflow—reflects a machine-learning-heavy engineering org focused on processing unstructured trade data at scale. Active projects span ML pipeline development, GenAI feature deployment, and real-time streaming systems, while pain points cluster around compliance automation and scaling data ingestion—consistent with a B2B SaaS company moving from manual compliance checks toward real-time, AI-driven screening at volume.
Trademo provides AI-powered solutions for global trade compliance, supply chain visibility, and trade intelligence. The platform addresses four main use cases: sanctions screening against 650+ global lists, tariff and regulatory classification for 140+ countries, supply chain risk mapping (including forced labor detection), and automated trade document processing with 500+ compliance checks. Founded in 2020 and based in Palo Alto, Trademo operates at 51–200 employees with a balanced hiring mix across engineering, sales, data, and product—indicating transition from startup to early growth stage. The company is actively raising capital and building investor-ready financial models alongside product development.
Python, PyTorch, TensorFlow, Hugging Face, LangChain, Elasticsearch, MongoDB, Kafka, Spark, Airflow, Kubernetes, Django, PostgreSQL, and AWS/Azure/GCP. Recently adopting SAP Global Trade Services.
Palo Alto, California. Founded in 2020, the company is privately held and currently hiring engineering, sales, data, and product roles, with active recruitment in India.
Trademo provides AI-powered global trade compliance and supply chain intelligence. Core products include sanctions screening, tariff/regulatory classification for 140+ countries, supply chain risk mapping, and automated trade document processing with 500+ compliance checks.
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