Tables is an AI lead search and data enrichment platform for sales and prospecting scenarios, with the core goal of integrating "finding ideal customers, completing lead information, and conducting research" into one platform, so that every lead has already been verified and researched before entering outreach.
In terms of use, Tables mainly serves sales teams, founders, growth leaders, and others who need to carry out outreach at scale, helping users search for potential customers, enrich contact data, and automate research, thereby expanding the sales pipeline and accelerating deals.
Main capabilities include:
- AI lead discovery: Users can describe their target customers in natural language, for example "SaaS founders in the Nordic region who completed fundraising in the past year," and the platform will execute the search, filter, and provide a matching lead list within minutes.
- Large-scale contact database: Access to over 300M+ contacts, filtered from 900M+ collected records, with support for filtering by 30+ criteria such as job title, seniority, and tech stack, covering the globe.
- Data enrichment: Provides verified email addresses and phone numbers, including 125M+ verified and usable mobile numbers; each record undergoes five checks before entering search results, and each field is verified at five independent nodes.
- AI research and scoring: AI researches each lead, evaluates and scores its fit with the ideal customer profile, and every answer is accompanied by the reasoning and sources.
- Custom fields and sorting: You can set up scores, dropdown options, yes/no fields, and more to score, sort, and tag leads according to the criteria your team cares about.
- Outreach preparation: Helps users understand potential customers before contacting them, so they can better qualify leads, understand their business, and start conversations.
In terms of usage, Tables emphasizes fitting into the sales team's existing workflow:
- CRM integration: Pipedrive and Attio have launched Tables; contacts and companies can be pushed directly to the CRM and kept in sync as they change.
- MCP integration: Agentic workflows can be run directly in Claude.
- Chrome extension: Displays verified email addresses and phone numbers on any LinkedIn profile page, and can push them directly to the CRM; you can also search the database directly from the profile page, add leads to a list, or push them with one click.
- Export and sync: You can export an entire list at once, or select individual leads to export, ready to use once they enter the CRM.
Applicable scenarios include: filtering target companies by industry, region, and tech stack (such as Shopify, WooCommerce, etc.); finding and contacting decision-makers; completing missingemail addresses and phone numbers for outreach; obtaining contact information instantly while browsing LinkedIn; running agentic workflows in Claude and syncing them to the CRM.
In terms of limitations, the official materials do not provide specific pricing, plans, free trial policies, or exact usage step details; this information is not currently available. Regarding platform security, the official statement says it is built according to European privacy standards and is GDPR compliant.
