Agentic web search and data retrieval infrastructure for AI agents
Nimble builds web search agents that retrieve targeted web data for AI applications, backed by a proprietary index and memory layer. The stack pairs LangChain and Baseten with Puppeteer, Playwright and reverse-engineering tools like Ghidra, Frida and IDA Pro, a sign of deep anti-bot and scraping expertise. Accelerating, senior-heavy hiring across Israel and the US splits between sales and pipeline engineering as the company commercializes.
Notable leadership hires: Team Lead Data Pipelines
Nimble, founded in 2021 and headquartered in New York, NY, develops web search agents that learn customer use cases to return precise web information for AI agents and business teams. Its approach relies on a proprietary index and memory to cut redundant searches and lower the LLM token spend needed to parse raw pages. The company is privately held with 51–200 employees and operates teams in the United States and Israel. Infrastructure spans AWS, Azure, GCP and Oracle, running Kubernetes, Kafka and Apache Spark.
Nimble uses Python, TypeScript, Go, Rust and Node.js, with Kubernetes, Docker, Terraform, Kafka and Apache Spark across AWS, Azure and GCP, plus LangChain, Baseten, Puppeteer and Playwright.
Nimble is headquartered in New York, NY, and hires in both the United States and Israel.
Nimble is building web search agents, data-pipeline infrastructure for web data ingestion, a global web caching and indexing operation, and integrations with other platforms.
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Nimble'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.