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Exa Websets enables users to search the web using natural language and receive curated, enriched data in seconds. It replaces manual scraping and spreadsheet work with AI agents that verify and augment results in real time. Built on custom neural search infrastructure, it supports advanced use cases in recruiting, sales, and research.
You Type It, Exa Websets Finds It
Most search engines still rely on outdated keyword methods designed around ad delivery. Users struggle to find deeply specific data without sifting through irrelevant results. Exa Websets introduces a semantic, AI-based method that allows users to retrieve high-quality, verified web data through plain-English queries.
Its system operates on a neural search engine that interprets the meaning behind a request rather than matching exact phrases. Whether the user wants to find “AI-first SaaS companies hiring senior backend engineers in Spain” or “startups in health tech founded in the last two years,” Websets can produce curated results in seconds. This functionality avoids reliance on stale datasets and manual research tasks that typically span hours or days.
No More Scraping, Cleaning, or Copy-Pasting
Manual list building—whether for recruiting, sales, or research—often involves scraping from multiple websites, cleaning CSV files, and merging fragmented information. Exa’s founders, Will Bryk and Jeff Wang, noted that despite advances in machine learning, many enterprises and developers still rely on spreadsheets and scraping tools for tasks as basic as finding a lead list.
Websets eliminates that by handling these steps internally. It searches live web content, pulls results that meet exact semantic criteria, and returns enriched lists with contact details, funding information, industry tags, and related links. Instead of hours spent juggling data, the result is delivered in the time it takes to brew coffee.
How Semantic Search Changes the Game
Exa Websets runs on a proprietary neural search architecture capable of handling web-scale data. Unlike keyword-based engines that degrade in quality as queries become more complex, this system improves with scale and compute.
The team built a custom search engine from scratch, processing hundreds of billions of web pages. They leverage an “exa-cluster” consisting of 18 nodes of 8xH200 GPUs to power the infrastructure. This setup supports high-throughput indexing, storage, and querying, enabling users to get direct answers even for multi-layered search prompts.
Meet the Agents Behind the Curtain
Behind each search is a sequence of automated AI agents. These agents do not simply fetch documents—they interpret the request, find matching entries by meaning, and enrich the results based on what the user has implicitly or explicitly asked.
Key enrichment elements include:
- Verified contact details such as email and phone numbers
- Employment roles and seniority
- Graduation data
- Company status and industry classification
- Funding rounds and batch info for startups
The agents validate and complete missing data points, reducing the user’s need to verify sources or patch data gaps post-export. Each result is produced with context and credibility.
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From Query to Curated List in Seconds
The input experience is designed to be minimal. There are no complicated filters, advanced syntax rules, or logic strings. The user writes the query in natural language, and Websets interprets and executes it through its AI pipeline.
Once results are returned, users can:
- View detailed metadata for each entry
- Ask follow-up questions via chat to modify the search
- Export the data to CSV or shareable formats with a single click
This process supports iteration without requiring re-entry of the original query. Adjustments can be made directly in the platform, and results can be regenerated or enriched further as needed.
Built for Teams That Move Fast
Websets is positioned for use across sales, recruiting, investment analysis, and research. It serves solo users, small teams, and enterprise operations alike.
Pricing plans reflect tiered access:
- Starter ($49/month): 8,000 credits, up to 100 results per Webset, one seat, and 10 enrichment columns
- Pro ($449/month): 100,000 credits, up to 1,000 results, 10 seats, 50 enrichment columns, concurrent search, alerts (upcoming), and API access
- Enterprise (Custom): Unlimited credits, seats, results, and enrichment fields, including volume discounts and security support
All tiers support CSV export, contact discovery, and concurrent searches. The tool is actively developed by a team with prior experience at Plaid, Palantir, Scale AI, Cresta, and other tech companies.
Search, Enrich, Export — It’s That Simple
Exa Websets combines infrastructure, neural modeling, and applied agents to create a system capable of retrieving precise web data without traditional search constraints. Users get enriched, verified results with significantly less effort.
It does not rely on advertising models. Instead, the system is delivered usage-based to developers and teams who need access to accurate, current, and structured data at scale.
As AI search tools continue to evolve, Websets stands out by offering a combination of speed, verification, and flexibility built for modern workflows.
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