Maritime AI platform delivering ocean intelligence for operational decision-making
Windward delivers AI-driven maritime intelligence to defense, government, and commercial operators. The stack reveals a company deep in agentic AI adoption—LangGraph, CrewAI, and Claude are all present—paired with classical data infrastructure (Kafka, Spark, AWS). Active hiring across engineering, sales, and product alongside projects like 'agentic OS' and 'autonomous monitor' suggests Windward is shipping autonomous workflows, not just dashboards. Pain-point clustering around 'integrating AI into existing workflows' and 'complex mission-critical deals' indicates they're solving for operations teams locked into legacy systems.
Windward is a maritime intelligence company founded in 2010, headquartered in Washington, DC, serving government, defense, and commercial maritime operators worldwide. The platform aggregates multi-source ocean data—vessel tracking, port activity, supply-chain signals—and applies AI to detect threats, monitor assets, and surface actionable intelligence for operational teams. The product is shifting toward agentic workflows that automate monitoring and decision support. With 201–500 employees and active hiring in the US, UK, Israel, and Peru, the company is scaling sales, engineering, and product to support global deployments and complex, high-stakes implementations.
Java, Python, Spring Boot, Node.js, React, Kafka, Apache Spark, AWS, Salesforce, and recently LangGraph and CrewAI for agentic AI workflows. They are adopting Iceberg for data lakehouse architecture.
Washington, District of Columbia, United States. The company was founded in 2010 and employs 201–500 people.
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