Nimble
Founded 2021 · 143 employees on LinkedIn · 13 known investors
Nimble builds a Web Search Agent Platform that uses agents to navigate dynamic websites and turn unstructured live web content into structured, verifiable data delivered through governed pipelines. It serves enterprises and AI systems that need real-time external web data at scale.
Also known as Nimble · Nimbleway
Investors · 13
Also in the syndicate · 5
Funding
SEC filings, press & company announcements$47M disclosed across 1 round · 2026
- $47MSeries BFeb 2026 · 3 sources
Norwest (lead), Norwest Fund (lead), Databricks, Databricks Ventures, Hetz Ventures, InvestInData, J-Ventures, R-Squared Ventures, Slow Ventures, Square Peg, Target Global
Source ↗
Source: company announcements and press reports — follow each round's link for the claim.
Company profile
researched Aug 2026Nimble is a web data and search company that provides infrastructure for AI agents and applications to retrieve information from the public web. Its platform is exposed through a set of API endpoints covering web search, agent-executed research workflows, dataset building and enrichment with live web data, web change monitoring (in beta), structured extraction from public websites, and site-wide crawling.
The company's headline product is Web Search Agents: domain-specialized retrieval agents that are described as self-learning, improving accuracy and cost efficiency after each run. The platform pairs these agents with a proprietary index and memory intended to compound accuracy across queries, and with real-time browsing that navigates sites and renders JavaScript to reach content that static retrieval cannot. Nimble positions the approach as reducing token consumption relative to retrieving raw pages and parsing them with an LLM, by limiting redundant searches and returning only required data. Governance features include auditable "Search Plans" that record what was searched, where and why, and security and compliance controls such as zero data retention, flexible PII masking, audit logs, encryption in transit, and no use of customer data for training.
Business model
Nimble sells API-based access to its web search, extraction, crawling, dataset and monitoring endpoints, with a free tier for developers to start building and a sales-led motion for enterprise use cases.
Traction
Nimble states that more than 1.5 million developers use its platform. Published customer examples include Grips Intelligence, which scales e-commerce pricing and product data collection to over 45,000 sites; Qodo, which uses Web Search Agents for real-time AI code review; and Alta, which reports powering millions of AI-driven go-to-market workflows daily with 3-4x deeper context and over 99% reliability.
Latest developments
The company has announced Web Search Agents, self-learning web search agents specialized by domain, and offers a beta web-change monitoring endpoint alongside its search, agent, dataset, extract and crawl APIs.
▸Full profile — market position, technology, go-to-market
Market position
Nimble positions itself as an expert-level web search and retrieval layer for AI agents, differentiating on accuracy, completeness and token efficiency versus general search tools and raw page scraping.
Stated differentiators include self-learning, domain-specific search agents; a proprietary index and memory that improves with usage; JavaScript-rendering real-time browsing for hard-to-access sites; token-cost reduction through optimized retrieval; and enterprise governance via auditable Search Plans, zero data retention, PII masking and audit logs.
Technology
The platform combines web search agents that self-learn a customer's use case, a proprietary index and memory layer that accumulates knowledge across queries, real-time browsing with JavaScript rendering for dynamic sites, and structured extraction that returns AI-ready data rather than raw pages. Retrieval is continuously optimized to reduce tool calls per run, and auditable Search Plans record the retrieval path.
Go-to-market
Self-serve developer onboarding (free start, sign-up and documentation) alongside enterprise sales through demo requests and use-case consultations, supported by customer case studies and native integrations with third-party platforms.
Developers and enterprises building AI agents and data-driven applications, including e-commerce and retail analytics providers, AI code review tools, go-to-market automation platforms, and financial research teams.
Compiled by commissioned research from 1 cited public sources — announcements, filings, and press listed under research sources below.
Key figures
latest reportedCompany-reported or press-reported figures, each dated to when it was claimed — not independently audited.
Competitors · 3
by search overlap
Companies competing with Nimble for the same Google search keywords, organic and paid, via search-intersection analysis.
Timeline · 2
launches, deals, and filingsDatabricks' Global VP of Consumer Industries GTM describes Databricks partnering with Nimble to help brand analysts reduce complexity and speed insights from web, product and competitive data.
Nimble announced Web Search Agents, self-learning, domain-specialized web retrieval agents offered alongside its search, crawl, extract, dataset, monitoring and research API endpoints.
Dated company events from announcements, filings, and press; legal rows summarize public dockets and regulator releases.
In the news
▸Research sources · 1
primary sources listed
- Nimblenimbleway.com · web
1 public sources were cited for this profile; the first-party ones are listed here.
Frequently asked questions
- What does Nimble do?
- Nimble operates a web search and data platform whose agents retrieve and structure live public web data for AI systems.
- Who are Nimble's investors?
- Nimble's investors include Hetz Ventures, Norwest Venture Partners, Square Peg Capital, Target Global, Databricks Ventures, J-Ventures, R-Squared Ventures, Slow Ventures.
- How much funding has Nimble raised?
- Nimble has disclosed $47M raised across 1 round.