Cykel AI uses advanced data sourcing and AI agents to provide high-quality, targeted prospect information. Understanding how this data is generated helps you make the most of the platform's capabilities.
Cykel AI combines multiple data sources with proprietary AI technology to deliver accurate, relevant prospect information.
Database Scale
Access to over 700 million B2B contacts
Includes verified emails and phone numbers
Comprehensive coverage across industries and regions
How Contact Data Is Processed
Initial Data PullContacts are sourced from our extensive B2B database
Raw contact information is gathered based on your search criteria
Natural Language Processing (NLP) FilterContacts pass through our proprietary NLP agent
The agent analyzes and scores each prospect against your ICP
This filtering ensures better alignment with your specific targeting criteria
Match ScoresEach contact receives a match score
Higher scores indicate stronger alignment with your ICP
Match scores are generated by our NLP processing
Use these scores to prioritize your outreach efforts
Agentic Web Scraping Technology
Company data is sourced through a combination of intelligent agents that continuously scrape and analyze web data. These agents work collaboratively to match companies to your ICP.
Five Key Data Points Analyzed:
Employee CountCurrent team size and headcount
Growth trends and scaling indicators
Helps identify companies at the right stage
Technology StackTools and platforms the company uses
Technical infrastructure details
Helps identify technical fit and integration opportunities
Recent Hiring ChangesNew job postings and roles being filled
Hiring velocity and team expansion
Indicates growth, priorities, and potential needs
Press ReleasesCompany announcements and news
Funding rounds and partnerships
Product launches and expansions
Reveals timing opportunities and strategic initiatives
LinkedIn and Social Media ActivityCompany posts and engagement
Leadership content and thought leadership
Team updates and company culture signals
Provides context for personalized outreach
Collaborative Intelligence
Our agentic system doesn't just collect data—it intelligently synthesizes information from multiple sources to deliver higher quality prospects.
The Process:
Agents scan multiple data points simultaneously
Information is cross-referenced and validated
Data is scored against your specific ICP criteria
Only prospects meeting quality thresholds are surfaced
Continuous updates ensure data remains current
Higher Quality Prospects
Multi-source validation reduces data errors
NLP filtering ensures better ICP alignment
Match scores help you prioritize effectively
More Context for Outreach
Rich company intelligence informs messaging
Timing signals (hiring, press releases) enable relevant outreach
Technology stack data enables personalized value propositions
Constantly Updated
Agents continuously monitor web sources
Data freshness is maintained automatically
You always work with current information
Best Practices:
Trust the Match Scores: Higher scores indicate better alignment—prioritize these prospects
Review Company Signals: Check recent hiring and press releases for conversation starters
Leverage Technology Stack Data: Reference specific tools they use in your outreach
Monitor Social Activity: Use LinkedIn posts to find relevant talking points
Validate Before Large Campaigns: Spot-check a few profiles before launching to hundreds
Our combination of massive data scale (700M+ contacts) with intelligent filtering and real-time web scraping ensures you receive:
Accurate contact information
Relevant company intelligence
Context-rich prospect data
Higher conversion potential
