AirOps is a content engineering platform built on Rails + React with GPT-4o, Cohere, and vector DBs (Pinecone, Weaviate) at its core. The stack reveals a dual focus: language models powering content generation and optimization, paired with traditional analytics (PostHog, Amplitude, ClickHouse). Sales hiring (10 open roles) outpaces engineering (6), and pain-points center on market expansion and sales enablement — indicating a product-market fit phase moving into scaled go-to-market.
AirOps helps marketing teams optimize content visibility across AI search and traditional SEO. The platform combines content generation, gap analysis, and search visibility tooling into a single system. Active projects span from SEO strategy agents and workflow builder copilots to technical demos and integrations expansion, suggesting the product is broadening from core content optimization into adjacent workflows. The company operates from San Francisco with hiring across the US, Canada, and UK.
AirOps builds on GPT-4o, Cohere, OpenAI, Anthropic, and Hugging Face models, paired with vector databases (Pinecone, Weaviate) and pgvector for retrieval-augmented generation (RAG).
AirOps actively hires in the United States, Canada, and United Kingdom.
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AirOps'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.