TENEX.AI runs an MDR service where AI triages alerts and U.S.-based analysts handle complex threats. Its stack pairs SIEM tooling (Google Chronicle, Microsoft Sentinel, KQL, Cribl) with an LLM layer built on LangChain, LangGraph and RAG, which it is actively adopting. Hiring skews engineering- and security-heavy at senior levels, with a meaningful sales push tied to building an outbound engine.
TENEX.AI is a privately held managed detection and response provider founded in 2024 and headquartered in Sarasota, Florida. The company combines an AI-powered SOC platform with round-the-clock human analysts to triage alerts and investigate threats for client security teams. It operates with 201–500 employees and recruits in the United States and the United Kingdom. Its platform runs across GCP, AWS and Azure, integrating with SIEM and cloud security tools such as Google Chronicle, Microsoft Sentinel and Google Cloud Security Command Center.
TENEX.AI uses Go, Python, Rust, TypeScript, React and Next.js, runs on GCP, AWS and Azure with Kubernetes, and works with Google Chronicle, Microsoft Sentinel, Cribl, LangChain and LangGraph.
Yes. Engineering and security are its largest hiring areas, mostly at senior and mid levels, with sales also a notable focus. Roles are open in the United States and United Kingdom.
TENEX.AI is headquartered in Sarasota, Florida, United States. It was founded in 2024 and has 201–500 employees.
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TENEX.AI'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.
