IAS Partners with Lyft Media for AI-Driven Ad Measurement

Jun 11, 2025
Integral Ad Science has announced a partnership with Lyft Media to provide AI-driven third-party measurement for advertisers, enhancing transparency and brand safety.

Integral Ad Science has announced a first-to-market partnership with Lyft Media to provide AI-driven third-party measurement for advertisers, announced in a press release. This collaboration enables advertisers to validate the quality of their Lyft Media buys using IAS's Viewability, Invalid Traffic (IVT), and Brand Safety Measurement tools.

The partnership aims to deliver trusted, third-party metrics for Lyft Media's in-app inventory, ensuring that ads reach real users in brand-safe environments. Advertisers can leverage IAS's comprehensive reporting platform, IAS Signal, to gain insights into viewability and invalid traffic, allowing them to maximize their campaign spend effectively.

IAS's measurement capabilities are now available for Lyft Media's mobile in-app video and poster ads, providing advertisers with greater transparency and the ability to validate their media buys in a fraud-free environment. This initiative marks a significant step in enhancing the transparency and effectiveness of advertising campaigns on Lyft's platform.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Sales & Marketing AI Weekly or Daily AI Brief.

Also, consider following us on social media:

AI Brief AI Brief (X)
Free newsletter

Sales & Marketing AI Weekly

News about AI tools and innovations for Sales and Marketing professionals.

Guide
AI presentation makers

AI presentation makers

Create editable decks from prompts and source material

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more

You may also like

Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.