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Wager AI

Wager AI Revenue

Software DevelopmentFlag of USSan Francisco, California, United States1-10 Employees

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Wager AI revenue & valuation

Annual revenue$342,220
Revenue per employee$86,000
Estimated valuation?$1,100,000
Total fundingNo funding

Key Contact at Wager AI

Flag of US

Dhruv Hooda

Co-Founder

Company overview

HeadquartersSan Francisco, California, United States
Websites
Founded2025
Employees1-10
Socials

About Wager AI

Wager AI optimizes sportsbooks & gambling platforms to maximize engagement and retention with AI-driven personalization. Our platform reduces churn by 95%, increases player lifetime value elevenfold, and automates marketing at scale—ensuring players stay active longer and bet more frequently. By leveraging real-time data and behavioral insights, we deliver hyper-personalized promotions and engagement strategies that keep players invested. With Wager AI, platforms can optimize retention, increase profitability, and build long-term player loyalty effortlessly.

Employees by Management Level

Total employees: 1-10

Seniority

Employees

Founder/Owner

Employees by Department

Wager AI has 1 employees across 1 departments.

Departments

Number of employees

Funding Data

Wager AI has never raised funding before.

Frequently asked questions

Wager AI is located in San Francisco, California, US.
Wager AI generates an estimated annual revenue of $342,220. This revenue figure reflects the company's market position and business performance in its industry.
Wager AI has an estimated valuation of $1,100,000. This valuation is calculated based on industry-standard revenue multiples and reflects the company's growth potential and market positioning.
Wager AI was founded in 2025, making it 1 years old. The company has established itself as a significant player in its industry over this time.
Wager AI has approximately 1-10 employees. The company continues to grow its workforce to support its business operations and expansion.

4.8

40,000 users

top 50
high performer
most used
tier 1 accuracy

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