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Gathering insights about Spyglaz AI

Spyglaz AI Tech Stack

Spyglaz AI uses 8 technology products and services including Google Hosted Libraries, WordPress, Font Awesome, and more. Explore Spyglaz AI's tech stack below.

  • Google Hosted Libraries
    Content Delivery Network
  • WordPress
    Content Management System
  • Font Awesome
    Font Scripts
  • pickadate.js
    Javascript Libraries
  • pdfmake
    Javascript Libraries
  • Moment.js
    Javascript Libraries
  • PHP
    Programming Languages
  • Nginx
    Web Servers

Media & News

Spyglaz AI's Email Address Formats

Spyglaz AI uses at least 2 format(s):
Spyglaz AI Email FormatsExamplePercentage
First.Last@spyglaz.comJohn.Doe@spyglaz.com
50%
First@spyglaz.comJohn@spyglaz.com
33%
Last@spyglaz.comDoe@spyglaz.com
17%

Frequently Asked Questions

What is Spyglaz AI's official website and social media links?

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Spyglaz AI's official website is spyglaz.ai and has social profiles on LinkedInCrunchbase.

What is Spyglaz AI's NAICS code?

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Spyglaz AI's NAICS code is 52 - Finance and Insurance.

How many employees does Spyglaz AI have currently?

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As of December 2025, Spyglaz AI has approximately 11 employees across 1 continents, including North America. Key team members include Chief Technology Officer: N. B.Head Of Product Strategy: J. W.Principal Data Scientist: R. S.. Explore Spyglaz AI's employee directory with LeadIQ.

What industry does Spyglaz AI belong to?

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Spyglaz AI operates in the Financial Services industry.

What technology does Spyglaz AI use?

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Spyglaz AI's tech stack includes Google Hosted LibrariesWordPressFont Awesomepickadate.jspdfmakeMoment.jsPHPNginx.

What is Spyglaz AI's email format?

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Spyglaz AI's email format typically follows the pattern of First.Last@spyglaz.com. Find more Spyglaz AI email formats with LeadIQ.

When was Spyglaz AI founded?

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Spyglaz AI was founded in 2020.

Spyglaz AI

Financial ServicesCalifornia, United States11-50 Employees

Spyglaz AI is an AI-enabled growth platform for industries with producer-led sales, including life and annuity, investments, and property and casualty. We help carriers and financial firms strengthen the relationships that matter most by identifying top producers at risk, uncovering future high performers, and identifying agents and advisors who can successfully cross-sell across multiple product lines.

Spyglaz AI uses machine learning to predict which producers have the highest growth potential. Agentic AI, with human oversight and approval, then operationalizes these insights by creating follow-up lists, segmenting producers, selecting approved outreach content, sending emails, and tracking follow-up activity. Sales teams are supported with clear, system-driven recommendations that reduce manual effort and improve consistency. Spyglaz AI integrates directly with Salesforce and offers low-lift deployment options across any cloud-based environment, making it easy to embed into existing workflows. The result is higher producer premiums, stronger distribution partnerships, and long-term value creation.

Section iconCompany Overview

Website
spyglaz.ai
NAICS Code
52 - Finance and Insurance
Founded
2020
Employees
11-50

Section iconMedia & News

Section iconFunding & Financials

  • $1M$10M

    Spyglaz AI's revenue is estimated to be in the range of $1M$10M

Section iconFunding & Financials

  • $1M$10M

    Spyglaz AI's revenue is estimated to be in the range of $1M$10M

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