7AI operates an agentic security platform built on XDR, MITRE ATT&CK, and LLM infrastructure (LangChain, LlamaIndex, RAG, Pinecone, Weaviate). The stack reveals a company layering autonomous AI decision-making over traditional security tooling. Hiring velocity is accelerating with 26 roles open in the last 30 days—heavily weighted toward sales (10) and engineering (6) at senior levels—which aligns with active work on go-to-market strategy, co-selling motions, and market entry launches. The pain-point list (low brand recognition, sales acceleration, complex use-cases) maps directly to the hiring and project priorities, indicating a young, VC-backed company (founded 2024) in active scaling mode.
7AI is a Boston-based cybersecurity startup offering an autonomous security platform that uses AI agents to detect and respond to threats without human intervention. The platform integrates with extended detection and response (XDR) workflows and uses large language models and retrieval-augmented generation to reason over security events. The company is 51–200 employees, founded in 2024, and backed by Greylock Partners, CRV, and Spark Capital. Current operational focus includes platform infrastructure scaling across AWS regions, partner enablement programs, and customer acquisition in enterprise security markets.
7AI's stack spans XDR, MITRE ATT&CK, AWS, Kubernetes, Docker, Python, TypeScript, Rust, Go, LangChain, LlamaIndex, RAG, Pinecone, Weaviate, HubSpot, and Salesforce. The LLM and vector database choices (Pinecone, Weaviate) indicate RAG-based threat reasoning.
Active projects include go-to-market and co-selling strategy, market entry launches, partner enablement, core data pipeline scaling, advanced security use-cases, AWS region expansion, and AI-assisted runbook automation. The focus signals post-launch product maturation and sales channel acceleration.
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7AI'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.