Edge226

Name: Edge226
Brand: Edge226
Rating: 5 (3 reviews)

Mobile Growth Powered by AI Technology

Est 2006|Valuation $25M|Raised $15.3M|7 Ref Customers

LinkedIn 3K|Website|Web traffic 1K|FTEs 33|HQ New York, New York, United States

MarketsDemand-Side Platforms (DSP)

01Competitive Landscape

Narrative competitive analysis

Edge226 vs AppLovin: AppLovin has greater public visibility and a larger ecosystem. Edge226’s differentiation appears to be a combined DSP/managed service model and outcome-based commercial alignment; however, independent validation is limited.
Edge226 vs Moloco: Moloco emphasizes ML-driven programmatic buying; Edge226’s positioning combines DSP capabilities with managed services and rewarded inventory through its acquisition.
Edge226 vs Liftoff and similar UA specialists: Buyers should conduct matched tests and reference checks to compare retention and ROAS across providers.

- Edge226 vs AppLovin: AppLovin has greater public visibility and a larger ecosystem. Edge226’s differentiation appears to be a combined DSP/managed service model and outcome-based commercial alignment; however, independent validation is limited. - Edge226 vs Moloco: Moloco emphasizes ML-driven programmatic buying; Edge226’s positioning combines DSP capabilities with managed services and rewarded inventory through its acquisition. - Edge226 vs Liftoff and similar UA specialists: Buyers should conduct matched tests and reference checks to compare retention and ROAS across providers.

	Edge226 (Peak / Peak DSP)	AppLovin (AppDiscovery / Axon)	Moloco (Moloco Cloud DSP)
Starting Price	Not publicly listed; public materials indicate performance-based pricing	Not publicly listed (enterprise / spend-based)	Not publicly listed (enterprise / spend-based)
Best For	Mobile advertisers seeking outcome-driven UA across in-app and CTV with managed service options and rewarded inventory (post-acquisition)	Large-scale mobile UA, particularly gaming; extensive developer ecosystem	Performance-driven programmatic UA with ML-focused DSP offering
Key Strength	Outcome-based commercial model and placement reporting in vendor materials; addition of rewarded offerwall inventory via acquisition	Scale, broad market visibility, mature ecosystem	Emphasis on ML-driven optimization and DSP product development
Key Weakness	Limited independent review coverage; public security posture not clearly documented in accessible sources	Complexity for some buyers and community concerns about quality in certain segments	Limited public documentation on pricing and enterprise support for some buyers