Agentic AI software for U.S. defense planning, targeting, and edge missions
Vannevar builds agentic AI software for U.S. national security missions, running on AWS GovCloud with an LLM-serving stack (vLLM, TensorRT, ONNX, LangGraph, Pydantic AI) that points to production inference rather than research prototypes. Hiring is accelerating and skews heavily toward senior engineering and product talent, while project signals show a push into unmanned surface vessel (USV) capability and multi-tenant auth.
Notable leadership hires: Mission Lead
Vannevar is a privately held defense technology company headquartered in Palo Alto, California, with 51–200 employees. It develops an agentic AI platform that supports targeting, mission planning, homeland defense, and Indo-Pacific deterrence, built to operate at the tactical edge. Its customers are national security and U.S. government organizations, and the company reports more than 125 deployments across them. Hiring is concentrated in the United States.
Vannevar runs on AWS and AWS GovCloud with Terraform, Pulumi, and Docker, builds in Python, TypeScript, React, and Java, and serves models with PyTorch, vLLM, TensorRT, ONNX, and LangGraph, plus PostgreSQL, Redis, and Temporal.
Yes. Engineering is Vannevar's largest hiring area, followed by product, with most openings at senior or lead level. Hiring velocity is accelerating and roles are based in the United States.
Job posts point to unmanned surface vessel (USV) capabilities, a centralized authentication platform with tenant isolation, a chat and tasking system, secure delivery pipelines, and AI adoption pilots for defense customers.
Other companies in the same industry, closest in size
Vannevar'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.