Nimble
Nimble turns live, dynamic web information into structured, reliable data for AI agents and enterprise decision-making. Its stated mission is to give organizations real-time clarity from the live web so they can innovate, adapt, and compete with confidence.
At a Glance
- Enterprise AI and software companies
- E-commerce, CPG, and retail brands
- Data, analytics, and business-intelligence teams
- AI labs and LLM developers
- +3 more
AI Tools by Nimble
(1)Nimble
Live Web Search API for Agents
Discussions
No discussions yet
Be the first to start a discussion about Nimble
Latest News
Nimble appointed Tanya Andreev Kaspin Chief Financial Officer to scale its expert-level web search for agents.
Nimble announced Web Search Agents and Harness as a Tool, describing expert web search that learns a domain while keeping users in control.
Nimble announced a $47M Series B led by Norwest and launched the Nimble Web Search Agent Platform.
Nimble published a guide showing how to build a company-enrichment agent with Nimble, Databricks, and LangChain.
Products & Services
A platform of purpose-built, self-learning web search agents that conducts research, retrieves live web information, and returns structured, governed results for enterprise AI.
API for research, enrichment, and dataset-creation workflows; agents choose the required compute/effort and optimize accuracy and cost over time.
Low-latency, high-throughput search of the live web or selected domains, with links and snippets and a deep mode that includes page contents.
Retrieves and parses page contents into usable data with configurable extraction logic.
Market Position
Nimble positions itself between conventional scraping/proxy infrastructure and generic search APIs: it combines web access, crawling and extraction with governed, domain-specific, self-learning search agents that return structured, verified data for production AI. Relevant alternatives and competitors include Firecrawl, Bright Data, Exa, Tavily, and other web-search and web-data APIs.
Leadership
Founders
Uriel Knorovich
Co-founder and CEO; described by Norwest as an engineer with a focus on solving the underlying reliability and usability constraints of web data.
Menachem Salinas
Co-founder and Chief Revenue Officer (CRO); leads Nimble's commercial and revenue function.
Executive Team
Uriel Knorovich
Co-founder & Chief Executive Officer
Engineer and company co-founder focused on making web data reliable and operationally useful.
Menachem Salinas
Co-founder & Chief Revenue Officer
Company co-founder responsible for revenue and commercial growth.
Founding Story
Nimble was started to address the difficulty of turning complex, constantly changing web data into usable, trustworthy information. The founders' initial vision was to build reliable infrastructure that could collect, structure, verify, and deliver live web intelligence for businesses and, increasingly, AI systems.
Business Model
Revenue Model
Usage-based API pricing for web search, agent, extraction, crawling, mapping, template, media, and proxy services, supplemented by custom enterprise plans, volume discounts, managed data delivery, security, and support.
Pricing Tiers
Access to all APIs; no credit card required; cancel anytime.
Research, enrichment, and dataset workflows.
Low-latency live-web search; Lite and Standard modes, including links/snippets and deep page contents.
Page extraction, domain crawling, and URL-tree mapping.
Structured data from prebuilt or custom templates.
Media discovery and export.
For teams needing custom scale, security, support, and volume/price bundling discounts.
Target Markets
- Enterprise AI and software companies
- E-commerce, CPG, and retail brands
- Data, analytics, and business-intelligence teams
- AI labs and LLM developers
- Sales, marketing, and revenue-operations teams
- Financial-services and alternative-data users
- Competitive price monitoring and dynamic repricing
- Product catalog, inventory, digital-shelf, and MAP monitoring
- E-commerce and retail intelligence
- Regulatory filing, earnings, IPO, and funding intelligence
- Real-time news sentiment and alternative-data research
- Lead and contact-data enrichment
- Databricks
- Qodo
- Uber
- Grips Intelligence