Seekr builds SeekrFlow, a platform for domain-specific LLMs and AI agents aimed at defense, telecom and finance buyers. The stack pairs a full RAG toolkit (LangChain, LlamaIndex, Pinecone, FAISS, Neo4j) with Kubernetes, Go and Rust, and early MCP adoption. Accelerating, senior-heavy engineering hiring centers on GPU inference scaling and edge latency, a sign the company is pushing from model tooling into deployable infrastructure.
Seekr is a privately held AI company founded in 2021 and headquartered in Reston, Virginia, with 51–200 employees. Its SeekrFlow platform covers content scoring and the tooling to build domain-specific large language models and AI agents. Customers are government agencies and critical infrastructure organizations in sectors such as defense, telecom and finance. Deployment options include Seekr's cloud, a customer's cloud, an on-premises data center or the edge, and the company holds SOC 2 certification. Hiring is concentrated in the United States.
Seekr uses Python, Go, Rust, FastAPI, Flask, LangChain, LlamaIndex, Transformers, Pinecone, FAISS, OpenSearch, Neo4j, React, Next.js, TypeScript and Kubernetes, and is adopting MCP.
Yes. Hiring is accelerating and dominated by senior and staff-level engineering roles in the United States, with smaller openings in product, design, security, sales and support.
Seekr is building AI training and inference infrastructure, hallucination detection, explainability features, a Kubernetes GPU platform, distributed AI workload scheduling and the SeekrFlow Edge Builder.
Other companies in the same industry, closest in size
Seekr'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.
