Nimble
Category: AI Agents
An Agentic Web Search Platform that orchestrates thousands of AI-powered Web Search Agents to turn the live web into structured, reliable, AI-ready data for enterprise applications. Nimble was founded in 2021. The company is led by Uriel Knorovich. Based in New York, United States. Team size: 101-500. Total funding raised: $75.0M. Latest round: Series B ($47.0M, Feb 2026). Key investors include Norwest Venture Partners, Databricks Ventures, Target Global, Square Peg, Hetz Ventures, Slow Ventures, R-Squared Ventures, J-Ventures, InvestInData.
- Founded
- 2021
- Headquarters
- New York, United States
- Team size
- 101-500
- Total funding
- $75.0M
Value proposition
Transforms live, dynamic web content into structured, auditable datasets through autonomous AI agents that navigate, extract, validate, and cross-check information in real-time, eliminating the need for brittle web scrapers or manual data collection while achieving >99% accuracy and reliability.
Products and solutions
Web Search Agents (self-learning domain-specialized agents / Harness-as-a-Tool; July 2026 launch), Browser Agents (Computer-Using Agents for complex web interactions), AI-Native Web API (search, extract, crawl, map, dataset, monitor), Nimble SDK, Model Context Protocol (MCP) Server (incl. Azure MCP Center / Copilot), Residential Proxies with AI optimization, Unblocker Proxy with JS rendering
Unique value
First platform to make live web data reliable and enterprise-grade for AI agents by using frontier AI models (OpenAI, Anthropic, Meta) to control real browsers rather than static scraping APIs. Proprietary distributed architecture orchestrates specialized multi-agent teams that navigate live websites, handle dynamic layouts, cross-check results, and produce auditable data outputs over long-running workflows with >99% accuracy.
Target customer
Enterprise companies requiring real-time web data for mission-critical AI applications, including banks, retailers, financial consulting firms, AI companies, and data teams building production-grade AI systems
Industries served
E-commerce & Retail (pricing intelligence, competitive analysis), Financial Services (market research, alternative data), Artificial Intelligence & Machine Learning, Business Intelligence & Analytics, Go-to-Market Intelligence, Digital Shelf Analytics, Social Media & Influencer Tracking, Travel & Hospitality
Technology advantage
Self-learning retrieval harness: Search Plan → proprietary index + live browser crawl/extract → memory/cache → evaluation/trust layer, fine-tuned per tenant domain. Claims compound accuracy and sharply lower token/tool-call cost vs generic deep research. Multi-model backend, proxy optimization, zero-retention/compliance options; deploy via API/SDK/MCP inside customer infra (Databricks, Snowflake, Azure, AWS, Oracle).
How they differentiate
Expert-level web search for AI agents via self-learning Web Search Agents (Harness-as-a-Tool) that specialize to each customer's domain, compound retrieval memory, and cut token spend (~51% fewer tokens / up to ~20x cost savings claimed) while raising answer quality vs generic search. Uses real browsers + multi-agent orchestration rather than brittle scrapers; auditable Search Plans; native Databricks/Snowflake/Azure/AWS/MCP. Positioned as production decision infrastructure, not traditional web scraping.
Main competitors
Bright Data, Oxylabs, Zyte
Key partnerships
Databricks (strategic investor, Marketplace/MCP / Genie integration), Snowflake (native integration), Microsoft Azure (Fabric, Azure Data Factory, Azure MCP Center listing May 2026, Copilot Studio/VS Code), Amazon Web Services, Norwest (Series B lead), Oracle (enterprise deploy partnership mentioned Jul 2026), Leading AI labs / frameworks (OpenAI, Anthropic, LangChain, Vercel)
Notable customers
Alta (millions of AI-driven GTM workflows daily), Grips Intelligence (e-commerce pricing/product data at scale), Qodo (AI code review / Web Search Agents), Rox (AI-native CRM; reported ~20x token-cost reduction), Uber, Coca-Cola, L'Oréal, TripAdvisor, Semrush, LG, Microsoft, Databricks
Major milestones
Founded 2021 by Uriel Knorovich and Menachem Salinas, Series A Apr 2023 (Hetz, J-Ventures); extension Apr 2024, Series B $47M led by Norwest Feb 2026; total funding $75M; Databricks Ventures joins, Agentic Web Search Platform launch Feb 2026, Nimble MCP listed on Microsoft Azure MCP Center May 21, 2026, Launched self-learning domain-specialized Web Search Agents (Harness as a Tool) Jul 29, 2026, Appointed Tanya Andreev Kaspin as CFO Aug 12, 2026, Team scaled to ~138 employees across New York and Israel
Growth metrics
~138 employees (LinkedIn/Dealroom 2026; Israel + New York). Trusted by hundreds of enterprises / Fortune 500. Company claims 90M+ searches daily (Jul 2026 launch PR); self-learning Web Search Agents report ~21-pt answer-quality gain and ~51% fewer tokens vs generic search.
Market positioning
Enterprise-focused Agentic Web Search Platform targeting mid-market to enterprise companies requiring real-time, structured web data for AI applications. Positioned as premium solution for mission-critical AI data pipelines with >99% reliability guarantees. Trusted by hundreds of enterprises globally.
Geographic focus
Global with primary focus on North America (New York HQ) and Israel (development center in Tel Aviv). Serving enterprise customers across North America, Europe, and Asia-Pacific regions.
Patents and IP
No registered patents disclosed publicly as of Sep 2026 verification
About Uriel Knorovich
Co-Founder & CEO of Nimble (2021-Present); Co-Founder & CEO at Cyronix (2019-2021); worked at Rayzone Group; Head of AI Cyber Security Department at Israeli Military Intelligence (recipient of excellence award). Forbes Technology Council member.
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Official website: https://www.nimbleway.com