No. 1 of the day
Glasa
AI finds dream clients
No. 1 of the day
AI finds dream clients
Glasa is an AI-powered customer intelligence platform that helps businesses detect, find, and connect with their ideal consumers.
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Maker
Glasa is an AI-powered customer intelligence platform that helps businesses detect, find, and connect with their ideal consumers. It combines a database of over 800 million contacts with triple-verified emails, automated data enrichment, and built-in outreach capabilities—all within a single platform. Instead of juggling multiple tools for prospecting, verification, and CRM syncing, Glasa streamlines the entire workflow from lead discovery to engagement.
Every email goes through three layers of verification: format check, domain verification, and real person confirmation. This results in 99% email accuracy and bounce rates below 2%, so your outreach actually lands in the right inbox.
Glasa’s AI filters let you search your target audience by specific criteria to find the exact prospects you need—fast. You can qualify leads instantly without manually sifting through irrelevant results.
Push verified contacts directly to HubSpot, Salesforce, or any other CRM. Updates flow both ways, keeping your most important contacts automatically synced across every tool you use.
Triple-verified data at $0.001 per lead—accuracy that rivals enterprise tools at a fraction of the cost.
While competitors like ZoomInfo and Apollo.io charge $0.024–$0.025 per lead and offer only basic verification, Glasa delivers advanced email verification, a database of 800 million contacts, and real-time updates. The combination of affordability, data quality, and built-in outreach makes it a compelling alternative for teams that need reliable leads without breaking their budget.
You spend too much time tracking down correct prospect details, dealing with outdated B2B data, or manually entering contacts into your CRM. Glasa is especially valuable for sales and growth teams that want to move from prospecting to outreach in minutes rather than days, and for budget-conscious organizations that refuse to compromise on data accuracy.
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