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Nimble

Full company profile

uuid00t16n3

Namestring
Nimble
Legal namestring
The Data Company Technologies Inc.
Websiteurl
nimbleway.com
Company typeenum
Private
Founded yearint
2022
Descriptiontext

Nimble (legal name: The Data Company Technologies Inc.) is a New York-based AI infrastructure company that operates a browser-based agentic web search and data platform. Its core product orchestrates thousands of autonomous Web Search Agents that browse, render, and interpret live websites in real time, converting unstructured dynamic web content into structured, AI-ready datasets. The platform is built on Microsoft Azure and leverages AI models from OpenAI, Anthropic, and Meta to power extraction, mapping, crawling, and search operations across verticals including retail/CPG pricing intelligence, digital shelf analytics, brand monitoring, alternative data for financial services, and deep research for AI agent builders. The company maintains an engineering and R&D center in Tel Aviv, Israel, with roughly 120 employees across both locations.

Nimble's product portfolio includes the AI Web Search Platform, Web Search Agents, Structured Data Feeds, the Nimble SDK (with Search, Extract, Map, Crawl, and Agents APIs), Nimble Studio (a visual workflow builder), and the Nimble MCP Server with pre-built connectors for Claude, Cursor, Codex, Cortex Code, and Vercel AI SDK. Native integrations span Databricks Lakehouse, Snowflake (Native Apps, Snowpark, Cortex Agents), AWS (S3, SageMaker, Redshift), and Microsoft Fabric, enabling enterprise customers to stream web intelligence directly into their data warehouses and ML pipelines. The platform serves over 100 enterprise customers including Fortune 500 names such as Uber, Coca-Cola, Tripadvisor, L'Oréal, Deloitte, Microsoft, and LG AI Research.

Nimble generates revenue through API and platform subscriptions (usage-based and recurring tiers), direct enterprise contracts for mission-critical AI applications, and managed services. The company runs a dual GTM motion combining self-serve platform access (free trial and online signup) with enterprise field sales and partner-led distribution through Microsoft for Startups and Databricks Ventures. As of February 2026, Nimble has raised $75 million in total funding across multiple rounds, including a $47 million Series B led by Norwest Venture Partners.

Short descriptiontext

Nimble is a New York-based AI infrastructure company whose browser-based agentic search platform deploys autonomous Web Search Agents to browse, render, and extract structured data from live websites in real time. It serves 100+ enterprise customers, including Fortune 500 retailers, financial firms, and AI developers, via APIs and integrations with Databricks, Snowflake, and Microsoft Azure.

Operating statusenum
Operating
Ownership categoryenum
Headcount rangeband
101–250
akta.pro rankint
HeadquartersNew York, United States
HQ citystring
New York
HQ countrystring
United States
HQ regionstring
North America
Markets served

Serves global market

Offices2 records

Each record includes

City, Country, Type, Description, Source

Keyword5 values
real-time web data, agentic web search, structured data extraction, AI web scraping, enterprise data platform
Industry3 codes
1AI Application Enablement Platforms (Copilot/Agent Frameworks, SDKs)
CodeHDAEANAJPrimaryYes
2End-to-End Enterprise AI Platforms (MLOps & Model Lifecycle Management)
CodeHDAEANAAPrimaryNo
3Data & Analytics Platforms (Data Warehousing, Lakes, Streaming)
CodeHDABAAAFPrimaryNo
NAICS code2 codes
  • Software Publishers5132
  • Computer Systems Design and Related Services54151
SIC code2 codes
  • Services-Prepackaged Software7372
  • Services-Computer Integrated Systems Design7373
Product category
AI Web Data Platform
GTM motion2 records

Each record includes

Type, Description, Source

Revenue model3 records
1API and Platform Subscriptions
TypeSubscription Recurring
Description

Usage-based and subscription access to Nimble's Web Search Agents, APIs (Search, Extract, Map, Crawl), and SDK. Customers pay based on usage volume and feature tiers.

globenewswire.com
2Enterprise Contracts
TypeSubscription Recurring
Description

Direct sales to enterprise customers for mission-critical AI applications, often involving custom data feeds and dedicated support.

nimbleway.com
3Managed Services
TypeManaged Services
Description

Define needs service where Nimble delivers exact data requested by customers with expert support.

nimbleway.com
Marketing channels6 records

Each record includes

Title, Type, Stage, Description, Source

Distribution channels3 records

Each record includes

Title, Type, Scope, Target buyer, Description, Source

Cost components5 values
Technology or R&D, Personnel, Infrastructure, Marketing or Sales, Operations
Pricing details2 tiers
1Free Trial
ModelFreemiumBilling cadenceMonthly
Notes

Free trial available for initial access to platform

nimbleway.com
2Enterprise Plans
ModelSubscriptionBilling cadenceAnnual
Notes

Custom enterprise pricing based on usage volume and features required

nimbleway.com
GTM typeB2B
B2B
Offering typeSoftware
Software
Core offering1 text field

Nimble provides an enterprise real-time web search and data platform that uses browser-based AI agents to browse, render, and interpret live websites in real time, converting unstructured web content into structured, AI-ready datasets. The platform exposes REST APIs (Search, Extract, Map, Crawl, Agents) via a TypeScript SDK, ships pre-built Structured Data Feeds across verticals, and integrates natively with Databricks, Snowflake, AWS, and Microsoft Azure. It targets AI agents and enterprise workflows that require reliable, current external web data at scale.

Differentiator
Functional benefit
Problem solved
Quantifiable outcome1 of 5 values shown
  • 60% productivity increase
+4 more records
Product overview1 text field

Nimble is an AI infrastructure company offering an enterprise real-time web search and data platform built on browser-based agentic search technology. The core product is the AI Web Search Platform, which orchestrates thousands of Web Search Agents to browse live websites and convert dynamic web content into structured, AI-ready datasets for enterprise AI deployments. The platform integrates structured data feeds across verticals (retail pricing, digital shelf, brand monitoring, social media, SEO, lead generation, news, travel) and delivers data to enterprise data warehouses. The product portfolio includes the AI Web Search Platform as the core offering, supported by Web Search Agents for autonomous data extraction, Structured Data Feeds for analysis-ready data, and the Nimble SDK providing APIs (Search, Extract, Crawl, Map, Agents) for developers. Additional modules include Nimble Studio (visual workflow builder), Nimble MCP Server (for AI platform integration), Nimble Web Expert Skill (for immediate data needs), Nimble Agent Builder Skill (for reusable workflows), and the Claude Plugin (targeting 1.5M users). Vertical solutions include Pricing Intelligence, Digital Shelf Analytics, Brand Pulse Intelligence, Alternative Data, and Deep Search for Agents. The platform is built on Microsoft Azure with native integrations to Databricks, Snowflake, AWS, and supports AI models from OpenAI, Anthropic, and Meta.

Product and service4 records
1AI Web Search Platform
CategoryCore platform
Description

Enterprise real-time web search and data platform that orchestrates thousands of Web Search Agents to browse live websites and convert dynamic web content into structured, AI-ready datasets for enterprise AI deployments.

2Web Search Agents
CategoryCore product
Description

Purpose-built autonomous AI agents that browse, extract, structure, and stream live web data at scale, with custom plans, auto-retries, and resilient browser sessions for guaranteed accuracy and completeness.

3Structured Data Feeds
CategoryCore product
Description

Analysis-ready data feeds from the live web covering products & shopping, business & locations, social media & influencers, SEO & GEO tracking, lead generation, news & blogs, and travel & hospitality verticals.

4Nimble SDK
CategoryDeveloper tooling
Description

Developer toolkit providing public REST APIs for search, extract, map, crawl, and agent operations, built on browser-based agentic search technology for enterprise-scale web data collection. Available via TypeScript SDK distributed through npm.

Scale indicator11 records

Each record includes

Type, Value, Description, Source

Partnership6 partners
Strategic tierFlagshipTypeTechnology or Integration
Description

Strategic ecosystem partnership with Microsoft. Platform built on Azure for enterprise-scale deployment. Microsoft for Startups supporting go-to-market strategy. Integration with Microsoft Fabric and Azure Data Factory.

Strategic tierCoreTypeTechnology or Integration
Description

Native integration partnership. Nimble available on Snowflake Marketplace. Data can be streamed directly into Snowflake. Integration with Snowpark for dynamic data-rich applications.

Strategic tierCoreTypeTechnology or Integration
Description

Cloud infrastructure partner. Nimble combines web intelligence with AWS services like S3, SageMaker, and Redshift for cloud-native architectures.

Strategic tierCoreTypeTechnology or Integration
Description

AI model provider. Claude AI Connectors integration through Nimble MCP Server. Powers agentic search capabilities with Claude models.

Strategic tierCoreTypeTechnology or Integration
Description

AI model provider powering browser-based agentic search platform with GPT models.

Strategic tierCoreTypeTechnology or Integration
Description

AI model provider powering agentic search capabilities with Meta's AI models.

Recent move6 records

Each record includes

Date, Type, Title, Description, Source

Expansion highlight6 records

Each record includes

Type, Description

Peers10 records
TypeDirect peer
Description

Enterprise web intelligence and proxy platform providing scraping APIs, datasets, and structured data feeds. Competes directly with Nimble's Extract and Crawl APIs and structured data feeds, particularly in retail and market intelligence.

TypeDirect peer
Description

Leading web data collection platform offering proxy networks, datasets, and scraping APIs. Directly competes with Nimble in enterprise web data extraction, with broader infrastructure scale but less emphasis on AI-agent-native delivery.

TypeDirect peer
Description

Web data platform offering scraping APIs, crawl automation, and extraction services. Overlaps with Nimble on enterprise web extraction, with longer history in publishing and e-commerce data.

TypeDirect peer
Description

Knowledge graph and web extraction API provider turning web pages into structured entities. Competes with Nimble's structured data feeds and entity extraction capabilities for enterprise knowledge and intelligence use cases.

TypeDirect peer
Description

AI web search API purpose-built for LLM agents and research workflows. Competes with Nimble's Search API for AI agent deep research and knowledge retrieval use cases.

TypeDirect peer
Description

Cloud platform for web scraping and browser automation with a marketplace of 'Actors' (pre-built scrapers). Competes with Nimble's Agents API and visual workflow tooling, particularly for developer-led self-serve use cases.

TypeBroad incumbent
Description

AI answer engine that combines web search with LLM synthesis. Operates at a much larger scale as a consumer/enterprise search incumbent; tangentially competes with Nimble in the AI-powered search and research category.

TypeDirect peer
Description

Web data collection provider offering proxies, scraping APIs, and datasets. Competes with Nimble in core web extraction, particularly for SMB and self-serve customers.

TypeDirect peer
Description

Search engine results API providing structured SERP data. Competes with portions of Nimble's Search API for web search and SEO monitoring use cases.

TypeDirect peer
Description

AI-native search engine targeting AI agent and LLM use cases with semantic search. Closest AI-agent-first competitor to Nimble; Qodo replaced Exa with Nimble, illustrating direct competition for agent search workloads.

Market position
Strengths4 records

Each record includes

Headline, Details, Source

Weaknesses4 records

Each record includes

Headline, Details, Source

Competitive moat5 records

Each record includes

Type, Details

Key risks6 records

Each record includes

Headline, Details, Source

Key highlights7 records

Each record includes

Headline, Details, Source

Customer concentration

Classification, Details

Named customers13 records

Each record includes

Name, Industry, Type, Use case, Source, UUID

Segment5 records

Each record includes

Title, Type, Primary, Description, Pain point addressed, Use case, Source

Ideal customer profile5 records

Each record includes

Profile, Firmographic size, Sales motion, Sales cycle length, Buying structure, Purchase trigger, Buyer persona, Geography, Industry vertical, Primary use case, Description, Pain points, Evidence proof points, Target buyer

Technology focused
Yes
API detail
Has APIbool
Yes

Docs URL, Description

Integration17 records

Each record includes

Title, Type, Description, Source

AI capability9 records

Each record includes

Type, Description, Source

AI maturity
App detail

Has app

Feature9 records

Each record includes

Title, Differentiator, Description, Source

Core technology
Revenue estimate
Valuation estimate
Number of profiles
Profiles1 record

Each record includes

Name, Designation, Designation category, Overview, Profile commentary, Source

No data
Compliance4 records

Each record includes

Name, Class, Description

Funding overview

Funding stage, Last funding date, Total funding USD

Funding rounds

Each record includes

Round, Amount USD, Date, Pre money valuation, Total investors, Investors, News

Investors

Each record includes

Name, Type, Date of entry, Rounds participated, Website

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Each record includes

Name, Acquisition type, Announced date, Completed date, Status, Website, News

Investment

Each record includes

Name, Round, Announced date, Lead investor, Website, News

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Nimble

AI Web Data Platformnimbleway.com

Nimble is a New York-based AI infrastructure company whose browser-based agentic search platform deploys autonomous Web Search Agents to browse, render, and extract structured data from live websites in real time. It serves 100+ enterprise customers, including Fortune 500 retailers, financial firms, and AI developers, via APIs and integrations with Databricks, Snowflake, and Microsoft Azure.

What Nimble does

Nimble (legal name: The Data Company Technologies Inc.) is a New York-based AI infrastructure company that operates a browser-based agentic web search and data platform. Its core product orchestrates thousands of autonomous Web Search Agents that browse, render, and interpret live websites in real time, converting unstructured dynamic web content into structured, AI-ready datasets. The platform is built on Microsoft Azure and leverages AI models from OpenAI, Anthropic, and Meta to power extraction, mapping, crawling, and search operations across verticals including retail/CPG pricing intelligence, digital shelf analytics, brand monitoring, alternative data for financial services, and deep research for AI agent builders. The company maintains an engineering and R&D center in Tel Aviv, Israel, with roughly 120 employees across both locations.

Nimble's product portfolio includes the AI Web Search Platform, Web Search Agents, Structured Data Feeds, the Nimble SDK (with Search, Extract, Map, Crawl, and Agents APIs), Nimble Studio (a visual workflow builder), and the Nimble MCP Server with pre-built connectors for Claude, Cursor, Codex, Cortex Code, and Vercel AI SDK. Native integrations span Databricks Lakehouse, Snowflake (Native Apps, Snowpark, Cortex Agents), AWS (S3, SageMaker, Redshift), and Microsoft Fabric, enabling enterprise customers to stream web intelligence directly into their data warehouses and ML pipelines. The platform serves over 100 enterprise customers including Fortune 500 names such as Uber, Coca-Cola, Tripadvisor, L'Oréal, Deloitte, Microsoft, and LG AI Research.

Nimble generates revenue through API and platform subscriptions (usage-based and recurring tiers), direct enterprise contracts for mission-critical AI applications, and managed services. The company runs a dual GTM motion combining self-serve platform access (free trial and online signup) with enterprise field sales and partner-led distribution through Microsoft for Startups and Databricks Ventures. As of February 2026, Nimble has raised $75 million in total funding across multiple rounds, including a $47 million Series B led by Norwest Venture Partners.

Nimble firmographics

Firmographics
Name
Nimble
Legal name
The Data Company Technologies Inc.
Website
https://nimbleway.com
Company type
Private
Founded year
2022
Operating status
Operating
Headcount range
101–250 employees
Short description
Nimble is a New York-based AI infrastructure company whose browser-based agentic search platform deploys autonomous Web Search Agents to browse, render, and extract structured data from live websites in real time. It serves 100+ enterprise customers, including Fortune 500 retailers, financial firms, and AI developers, via APIs and integrations with Databricks, Snowflake, and Microsoft Azure.
Ownership category
akta.pro rank

Nimble industry classification

Industry
Product category
AI Web Data Platform
NAICS
Software Publishers (5132), Computer Systems Design and Related Services (54151)
SIC
Services-Prepackaged Software (7372), Services-Computer Integrated Systems Design (7373)
akta.pro primary industry
AI Application Enablement Platforms (Copilot/Agent Frameworks, SDKs) (HDAEANAJ)
akta.pro secondary industries
End-to-End Enterprise AI Platforms (MLOps & Model Lifecycle Management) (HDAEANAA), Data & Analytics Platforms (Data Warehousing, Lakes, Streaming) (HDABAAAF)

Keywords

  • Real-time web data
  • Agentic web search
  • Structured data extraction
  • AI web scraping
  • Enterprise data platform

Where Nimble is headquartered

Location

Headquarters

HQ city
New York
HQ country
United States
HQ region
North America

Offices2 records

Markets served

Nimble business model

Business model
GTM type
B2B
Offering type
Software
Cost components
Technology or R&D, Personnel, Infrastructure, Marketing or Sales, Operations

Revenue model

  1. API and Platform Subscriptions: Usage-based and subscription access to Nimble's Web Search Agents, APIs (Search, Extract, Map, Crawl), and SDK. Customers pay based on usage volume and feature tiers.
  2. Enterprise Contracts: Direct sales to enterprise customers for mission-critical AI applications, often involving custom data feeds and dedicated support.
  3. Managed Services: Define needs service where Nimble delivers exact data requested by customers with expert support.

Pricing tiers

ModelBillingPrice
FreemiumMonthlyFree Trial
SubscriptionAnnualEnterprise Plans

Go-to-market motion2 records

Distribution channels3 records

Marketing channels6 records

Nimble product offering

Product offering

Core offering

Nimble provides an enterprise real-time web search and data platform that uses browser-based AI agents to browse, render, and interpret live websites in real time, converting unstructured web content into structured, AI-ready datasets. The platform exposes REST APIs (Search, Extract, Map, Crawl, Agents) via a TypeScript SDK, ships pre-built Structured Data Feeds across verticals, and integrates natively with Databricks, Snowflake, AWS, and Microsoft Azure. It targets AI agents and enterprise workflows that require reliable, current external web data at scale.

Product overview

Nimble is an AI infrastructure company offering an enterprise real-time web search and data platform built on browser-based agentic search technology. The core product is the AI Web Search Platform, which orchestrates thousands of Web Search Agents to browse live websites and convert dynamic web content into structured, AI-ready datasets for enterprise AI deployments. The platform integrates structured data feeds across verticals (retail pricing, digital shelf, brand monitoring, social media, SEO, lead generation, news, travel) and delivers data to enterprise data warehouses. The product portfolio includes the AI Web Search Platform as the core offering, supported by Web Search Agents for autonomous data extraction, Structured Data Feeds for analysis-ready data, and the Nimble SDK providing APIs (Search, Extract, Crawl, Map, Agents) for developers. Additional modules include Nimble Studio (visual workflow builder), Nimble MCP Server (for AI platform integration), Nimble Web Expert Skill (for immediate data needs), Nimble Agent Builder Skill (for reusable workflows), and the Claude Plugin (targeting 1.5M users). Vertical solutions include Pricing Intelligence, Digital Shelf Analytics, Brand Pulse Intelligence, Alternative Data, and Deep Search for Agents. The platform is built on Microsoft Azure with native integrations to Databricks, Snowflake, AWS, and supports AI models from OpenAI, Anthropic, and Meta.

Differentiator

Problem solved

Functional benefit

Products and services

  • AI Web Search Platform Enterprise real-time web search and data platform that orchestrates thousands of Web Search Agents to browse live websites and convert dynamic web content into structured, AI-ready datasets for enterprise AI deployments.
  • Web Search Agents Purpose-built autonomous AI agents that browse, extract, structure, and stream live web data at scale, with custom plans, auto-retries, and resilient browser sessions for guaranteed accuracy and completeness.
  • Structured Data Feeds Analysis-ready data feeds from the live web covering products & shopping, business & locations, social media & influencers, SEO & GEO tracking, lead generation, news & blogs, and travel & hospitality verticals.
  • Nimble SDK Developer toolkit providing public REST APIs for search, extract, map, crawl, and agent operations, built on browser-based agentic search technology for enterprise-scale web data collection. Available via TypeScript SDK distributed through npm.

Quantifiable outcome

  • 60% productivity increase
  • +4 more outcomes

Companies that use Nimble

Customer profile

Named customers13 records

Segments5 records

Ideal customer profiles5 records

Nimble technology and API

Technology

Technology focussed Yes

API detail

Has API
Yes
API docs
API detail

Core technology

AI maturity

App detail

Integration17 records

AI capability9 records

Feature9 records

Nimble partnerships and signals

Strategic signal

Partnerships

Six partnerships are on record, tiered flagship and core.

  • MicrosoftflagshipTechnology or IntegrationStrategic ecosystem partnership with Microsoft. Platform built on Azure for enterprise-scale deployment. Microsoft for Startups supporting go-to-market strategy. Integration with Microsoft Fabric and Azure Data Factory.
  • SnowflakecoreTechnology or IntegrationNative integration partnership. Nimble available on Snowflake Marketplace. Data can be streamed directly into Snowflake. Integration with Snowpark for dynamic data-rich applications.
  • AWS (Amazon Web Services)coreTechnology or IntegrationCloud infrastructure partner. Nimble combines web intelligence with AWS services like S3, SageMaker, and Redshift for cloud-native architectures.
  • AnthropiccoreTechnology or IntegrationAI model provider. Claude AI Connectors integration through Nimble MCP Server. Powers agentic search capabilities with Claude models.
  • OpenAIcoreTechnology or IntegrationAI model provider powering browser-based agentic search platform with GPT models.
  • Meta AIcoreTechnology or IntegrationAI model provider powering agentic search capabilities with Meta's AI models.

Scale indicators11 records

Recent moves6 records

Expansion highlights6 records

Nimble competitors and assessment

Company assessment

Direct peers

  • Oxylabs: Enterprise web intelligence and proxy platform providing scraping APIs, datasets, and structured data feeds. Competes directly with Nimble's Extract and Crawl APIs and structured data feeds, particularly in retail and market intelligence.
  • Bright Data: Leading web data collection platform offering proxy networks, datasets, and scraping APIs. Directly competes with Nimble in enterprise web data extraction, with broader infrastructure scale but less emphasis on AI-agent-native delivery.
  • Zyte: Web data platform offering scraping APIs, crawl automation, and extraction services. Overlaps with Nimble on enterprise web extraction, with longer history in publishing and e-commerce data.
  • Diffbot: Knowledge graph and web extraction API provider turning web pages into structured entities. Competes with Nimble's structured data feeds and entity extraction capabilities for enterprise knowledge and intelligence use cases.
  • Tavily: AI web search API purpose-built for LLM agents and research workflows. Competes with Nimble's Search API for AI agent deep research and knowledge retrieval use cases.
  • Apify: Cloud platform for web scraping and browser automation with a marketplace of 'Actors' (pre-built scrapers). Competes with Nimble's Agents API and visual workflow tooling, particularly for developer-led self-serve use cases.
  • Smartproxy: Web data collection provider offering proxies, scraping APIs, and datasets. Competes with Nimble in core web extraction, particularly for SMB and self-serve customers.
  • SerpApi: Search engine results API providing structured SERP data. Competes with portions of Nimble's Search API for web search and SEO monitoring use cases.
  • Exa AI: AI-native search engine targeting AI agent and LLM use cases with semantic search. Closest AI-agent-first competitor to Nimble; Qodo replaced Exa with Nimble, illustrating direct competition for agent search workloads.

Broad incumbents

  • Perplexity: AI answer engine that combines web search with LLM synthesis. Operates at a much larger scale as a consumer/enterprise search incumbent; tangentially competes with Nimble in the AI-powered search and research category.

Market position

Strengths4 records

Weaknesses4 records

Competitive moat5 records

Key risks6 records

Key highlights7 records

Customer concentration

Nimble social profiles

Digital presence

Nimble compliance and trust

Trust signal

Compliance4 records

Nimble financial estimates

Financial estimate

Revenue estimate

Valuation estimate

Nimble leadership team

Management profile

Number of profiles

Profiles1 record

Nimble funding detail

Funding detail

Funding overview

Funding rounds

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

Nimble M&A and investment

M&A and investment

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Nimble

What does Nimble do?

Nimble provides an enterprise real-time web search and data platform that uses browser-based AI agents to browse, render, and interpret live websites in real time, converting unstructured web content into structured, AI-ready datasets. The platform exposes REST APIs (Search, Extract, Map, Crawl, Agents) via a TypeScript SDK, ships pre-built Structured Data Feeds across verticals, and integrates natively with Databricks, Snowflake, AWS, and Microsoft Azure. It targets AI agents and enterprise workflows that require reliable, current external web data at scale.

Is Nimble a public or private company?

Nimble is a private company. It is classified as venture growth investor backed and is currently operating.

When was Nimble founded?

Nimble was founded in 2022. It employs 101 to 250 people.

Where is Nimble based?

Nimble is headquartered in New York, United States, in the North America region.

How does Nimble make money?

Three revenue lines are on record. API and Platform Subscriptions are the primary driver. The others are enterprise Contracts and managed Services.

Who are Nimble's main competitors?

Direct peers on record are Oxylabs, Bright Data, Zyte, Diffbot, Tavily, Apify, Smartproxy, SerpApi and Exa AI. Perplexity is listed as a broad incumbent.

Does Nimble have an API?

Yes. Nimble offers a public REST API with endpoints for search, extract, map, crawl, and agent operations. The API enables developers to programmatically search the web, extract structured data from any URL, discover URL structures, crawl entire websites, and run pre-built extraction agents. SDK available in TypeScript via npm (@nimble-way/nimble-cli). Authentication via API key set in environment variable NIMBLE_API_KEY. The API powers the company's agentic web search platform used by Fortune 500 enterprises. Developer documentation is at docs.nimbleway.com/home.

What industry is Nimble in?

Nimble's product category is AI Web Data Platform. Its primary akta.pro industry code is HDAEANAJ, AI Application Enablement Platforms (Copilot/Agent Frameworks, SDKs), with a secondary code of HDAEANAA, End-to-End Enterprise AI Platforms (MLOps & Model Lifecycle Management). Its NAICS code is 5132 and its SIC code is 7372.

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Live signals
DatabricksThe Web Search Your Agent Inherited Isn't Good EnoughOmnigent lets engineers define an agent once and run it across any harness, with Nimble filling the web search slot. Nimble's web search raised benchmark accuracy from 46% to 71% and cut search costs in half. The solution consolidates governance, cost tracking, and audit trails for agents that need external web data.The Manila TimesNimble Names Tanya Andreev Kaspin Chief Financial Officer to Scale Its Expert-Level Web Search for AgentsNimble appointed Tanya Andreev Kaspin as Chief Financial Officer to lead financial functions as it scales its expert-level web search infrastructure for AI agents. This hiring coincides with the company's recent launch of Web Search Agents, which utilizes self-learning retrieval technology for enterprise workflows. Kaspin brings experience from scaling Innovid to a public listing on the NYSE.GlobeNewswireNimble Names Tanya Andreev Kaspin Chief Financial Officer to Scale Its Expert-Level Web Search for AgentsNimble appointed Tanya Andreev Kaspin as Chief Financial Officer, bringing over 20 years of finance leadership experience. She previously served as CFO at Innovid, scaling it globally and taking it public on the NYSE. The appointment supports Nimble's expansion of its expert-level web search for AI agents.GlobeNewswireNimble to Unveil Expert-Level Web Search Agents at AI4 2026, Featuring Live Demos and a Formula 1 Simulator ExperienceNimble will exhibit at AI4 2026 in Las Vegas from Aug. 4-6 at booth 1255, demonstrating its Web Search Agents. The company will offer live demos, a Formula 1 simulator, and a giveaway for a VIP weekend at the Las Vegas F1 Grand Prix. Nimble's platform is available via API, SDK, and MCP, with over 90 million daily searches.MarTech CubeNimble Announced the Launch of Expert Web Search AgentsNimble announced the launch of Web Search Agents, a specialized platform designed to help AI agents perform complex web research tasks with higher accuracy and lower token costs than generic search tools. Independent benchmarks cited by the company indicate a 21-point increase in answer quality and a 51% reduction in token usage compared to leading alternatives. The service is now available via API and SDK, with existing production deployments including Fortune 500 enterprises and AI-native companies like Rox.DigitaltodayNimble launches 'web search agent' to cut AI research token costsNimble has launched a 'web search agent' designed to improve the accuracy of enterprise AI research and reduce token costs by learning specific work domains. The product adjusts its search strategies based on the nature of the task, addressing inefficiencies caused by general-purpose web searches in production environments.The Manila TimesNimble Launches Expert Web Search Agents That Improve the Quality of Results and Reduce Token SpendNimble announced Web Search Agents that autonomously learn a user's domain to execute complex web research tasks. Benchmarks show a 21-point increase in answer accuracy and a 51% reduction in token costs per query. Rox, an AI-native CRM company, reported a 20x reduction in token costs after adopting Nimble's infrastructure.SiliconANGLESweet Security debuts Agentic AI Blocking to stop rogue agents in real timeNimble launched Web Search Agents, a domain-learning product that runs autonomous web research tasks for production AI agents, addressing accuracy and token cost issues that generic search tools create. Benchmark results show a 21-point increase in answer quality and 51% fewer tokens spent per query, with customer Rox reporting a 20-fold reduction in token costs. The New York-based company, founded in 2021, secured $47 million in Series B funding in February led by Norwest Venture Partners, bringing total raised capital to $75 million.TechTargetNimble launches agents to cull relevant web data for AINimble launched Web Search Agents, agentic AI applications that autonomously learn customer use cases to search the internet for relevant information that can be converted into curated data tables for enterprise AI applications. The New York-based web data search specialist, which raised $47 million in venture capital funding in February, designed the product to address the bottleneck of accessing web data that previously required building and maintaining complex web-scraping tools. Benchmark testing conducted by Nimble shows Web Search Agents increased answer quality by over 20% and approximately halved token costs per query, though industry analysts note the capabilities are not unique in the market.BetaNewsAI agents waste most of what they extract from retail sitesNimble, a real-time web search platform, published research analyzing 250 live retail queries across major US retailers, finding that AI agents process 278 characters of irrelevant content for every useful character extracted, a noise rate exceeding 99 percent. The average webpage contained 8,795 characters while the average answer was only 31.7 characters, with price queries on sites like Amazon showing a 99.48 percent noise rate. The study concludes this represents a structural problem in how production AI systems retrieve data from websites built for human readers rather than machines, with direct cost implications at current LLM API pricing.