The era of human web search is over: Nimble launches Agentic Search Platform for enterprises boasting 99% accuracy
Source: VentureBeat
Web Search has already been disrupted by AI — just take a look at how readily Google is presenting users with AI Overviews (summaries of search results) at the top of their results pages, how Bing early on integrated OpenAI’s GPT models, and how Perplexity continues to build on its own AI‑driven web‑search platform and browsers.
Nimble announced the launch of its Agentic Search Platform, a system designed to transform the public web into trusted, decision‑grade data for AI systems and business workflows.
The launch is supported by $47 million in Series B financing led by Norwest, with participation from Databricks Ventures and others, bringing the company’s total funding to $75 million.
Why Nimble’s platform matters
The initiative addresses a fundamental bottleneck in the current AI era: while large language models (LLMs) are becoming more sophisticated, they often reason over incomplete or unverifiable external information. Nimble’s platform aims to eliminate this “guesswork gap” by providing a governed data layer that searches, navigates, and validates live internet data in real time.
In an exclusive interview with VentureBeat, Nimble co‑founder and CEO Uri Knorovich reflected on the early skepticism regarding his vision of a machine‑centric internet:
“Whenever we started this company, and the first time I went to investors, I told them the web is built for humans, but machines are going to be the first citizens of the web,” Knorovich recalled. He noted that while initial reactions labeled him as “too visionary,” the current reality of AI adoption has validated his thesis.
Technology: Coordinated multi‑agent architecture
The core of Nimble’s solution is a proprietary distributed architecture that orchestrates specialized agents to perform tasks traditionally handled by human researchers or brittle web scrapers. According to the company’s infrastructure documentation, the process is broken down into five distinct layers:
- Headless browser & browsing agents – manage the initial interaction with a target domain, navigating complex site structures as a human would.
- Parsing agents – interpret page content, identifying relevant data elements across various formats.
- Data‑processing agents – aggregate, filter, and clean noisy internet data to produce specific, structured answers.
- Validation agents – verify the results to ensure accuracy and completeness before delivery.
- Delivery layer – expose the validated data via APIs or no‑code workflows.
Unlike standard search engines designed for consumer link‑clicking, this architecture uses multimodal and reasoning capabilities from frontier models—including those from OpenAI, Anthropic, and Meta—to control real browsers. This allows Nimble to:
- Navigate dynamic layouts
- Cross‑check results in real time
- Produce auditable data outputs rather than simple text summaries
A new paradigm: “The web is built for humans, but machines are the first citizens”
Knorovich points out that the scale of AI interaction with the web is fundamentally different from human behavior:
“We, as humans, search for maybe three or five options before we make decisions… but every day, Nimble performs more than 3.2 million interactions on the web,” he explained.
This sheer volume—billions of monthly searches—represents a programmatic shift that requires a new type of infrastructure.
“The bottleneck for enterprises today isn’t the intelligence of the models, but the quality of the data they can access,” Knorovich said.
“Agents are the headlines, and accurate and reliable web search is the bottleneck.”
Nimble vs. consumer search: Precision over speed
Knorovich explicitly differentiates Nimble from general‑purpose tools like Google or consumer AI search assistants:
- Consumer tools – optimized for speed and casual queries (e.g., “where is the nearest restaurant?”).
- Enterprise tools – need high‑scale, high‑accuracy results to support multi‑million‑dollar decisions.
“General‑purpose web‑search tools are great for general answers, such as ‘who is the wife of Leo Messi?’,” Knorovich remarked.
“But enterprises need deep, granular data, and they need the ability to control search filters, regulation, and trusted sources. Unlike consumer AI models that may summarize a Reddit post or high‑level news, Nimble provides ‘street‑level’ information that can be stored directly in an enterprise system of record.”
Product: Bridging the no‑code and developer divide
The Agentic Search Platform is delivered through two primary interfaces designed for enterprise scalability.
1. Web‑search agents
- A no‑code AI workflow builder that enables business teams to describe the data they need and receive structured data streams without writing a line of code.
2. Web‑tools SDK
- A suite of APIs for developers to search, extract, and crawl the web directly from their code. Key endpoints include:
GET /crawl → map an entire domain
GET /map → create a hierarchical domain treeThe platform is built to deliver data with > 99 % accuracy (i.e., “If you want to know what’s happening in commercial real‑estate in Atlanta… you’re not looking for a search that’s optimized for the millisecond. You’re looking for data you can actually see on a table or download to Excel.”)
Key Use Cases
| Use Case | Description |
|---|---|
| Commercial Real‑Estate Intelligence | Provides granular, location‑specific data for market analysis. |
| Know‑Your‑Customer (KYC) for Financial Institutions | An autonomous search agent cross‑references public reports, criminal records, and address verifications to build a complete client profile before the client enters the building, delivering the “external truth” outside an organization’s firewalls. |
Enterprise Licensing & Compliance
- Governance‑first design – Nimble is “compliant‑by‑design” with certifications for SOC 2 Type II, GDPR, CCPA, and HIPAA.
- Pricing model – Aligned with the value delivered; charges are based on the number of searches run.
Pricing Details
| Service | Cost |
|---|---|
| Search & Answer APIs | • Standard search inputs: $1 / 1,000 requests • “Answer” function (reasoning on results): $4 / 1,000 requests |
| Managed Services | • Startup tier: $2,000 / month • Professional tier: $15,000 / month (unlimited agents + priority support) |
| Proxy Access | Residential proxy network (1 M+ proxies) – $7.50 / GB |
Community & User Reactions
“Pricing intelligence that once took weeks to review can now be responded to in minutes by putting control in the hands of an agent.” – Julie Averill, former CIO, Lululemon
“The platform’s scalability was crucial in developing more robust and reliable AI systems by feeding LLMs with high‑quality data.” – Itamar Fridman, CEO & Co‑founder, Qodo
“Nimble simplifies the extraction of structured data from complex sources – it’s transformative for my role.” – Dennis Irorere, Data Engineer, TripAdvisor
- Grips Intelligence – Scaled to > 45,000 e‑commerce sites using Nimble’s Web API for real‑time pricing and product data.
- Alta – Powers millions of AI‑driven go‑to‑market workflows daily, delivering 3–4× deeper context and > 99 % reliability.
Series B Funding
- Amount: $47 million
- Purpose: Accelerate research in multi‑agent web search and expand the governed data layer.
Investors
Target Global, Square Peg, Hetz Ventures, Slow Ventures, R‑Squared Ventures, J‑Ventures, InvestInData, and others.
“Nimble complements our Data Intelligence Platform by providing a real‑time web data layer that extends workflows beyond internal sources.” – Andrew Ferguson, VP, Databricks Ventures
Vision
“Programmatic web search is where we are building towards,” says Knorovich. By moving away from legacy data vendors and brittle scrapers, Nimble aims to deliver the real‑time structure AI needs to act confidently in the real world.